Letters to the editor

Size: px
Start display at page:

Download "Letters to the editor"

Transcription

1 Letters to the editor Dear Editor, I read with considerable interest the article by Bruno Putzeys in Linear udio Vol 1, The F- word - or, why there is no such thing as too much eedback. In his excellent article, Bruno explains that increasing the amount o eedback might cause problems or the higher harmonic distortion components. He uses earlier work o Baxandall, who did his measurements on the non-linearity o a semiconductor device inside a eedback loop, while the amount o eedback was increased. Bruno uses in his igure 14 a square law non-linearity as example. I ve been wondering or some time whether this kind o non-linearity is ound in ampliiers using valves, which obey the Child-Langmuier-Compton equation. In 2010 I perormed measurements on my SPT70 valve ampliier(1) and the results are shown in Figure 1. The amount o eedback is given by 20. log(nb/o) on the horizontal axis, where nb and o are the gain o the ampliier with nb and open loop, respectively, with a 4 Ohm dummy load. This diers rom the way it is presented by Bruno s igure, but is the same as Baxandall s representation. My hesitation to accept Baxandall s and Bruno s approach seems to be right and the consequences are o importance. In my speciic valve ampliier all harmonic levels decrease when the eedback is in- Figure 1: Distortion in SPT70 as unction o the amount o eedback. The harmonic components are (top to bottom): 2, 3, 4, 5, 6 and are measured at 1kHz with 0 db = 10Vrms in a 4 Ohm load. 1

2 creased. Subjectively this is clearly noticeable. More eedback gives cleaner sound with more details (but harms other qualities o the sound reproduction(2)). The consequence is that the type o nonlinearity in my valve ampliier is o another nature; not semi conductor (power o e ) or square-law, but like a power o 1.5. This means that raising eedback in my amp does not create stronger higher order harmonic components. Reerences: 1 - Menno van der Veen: High-end Valve mpliiers 2, chapter 8; Elektor ISBN Menno van der Veen: Ontwerpen van Buizenversterkers, chapter 2; Elektor ISBN ; also available in German, not yet in English. Menno van der Veen, Zwolle The Netherlands Bruno Putzeys replies: Dear Menno, I thank you or your comments. I take it your main problem is the idea that moderate amounts o eedback are always worse than either lots o it or none at all. I agree that such a broad-brush conclusion would be unwarranted. What matters is that it can happen and certainly has happened to several experimenters, and that this is one o the actors that led to a suspicion o negative eedback. You can see a practical example in distortion_and_eedback.pd (igure 11, page 10). It is clear that this circuit will not appreciably improve unless at least 20dB o loop gain is deployed. One does suspect, however, that that circuit was expressly designed to illustrate a point. Practical ampliiers are more complex, creating a jumble o nonlinearities. Whatever undamental law underlies one active component is no longer going to be immediately obvious rom the behaviour o the circuit. n early drat o the article contained a paragraph to this eect: i the open loop distortion spectrum is already suiciently rich, newly created harmonics arising rom lower order terms might never become signiicant. This appears to be the case with your setup. I the variable eedback listening test is perormed on such an ampliier, subjective perormance would improve rom the word go. Your listening result conirms this. This is a urther strong argument in avour o using negative eedback, but at the end I elt that mentioning this in the article risked conusing the reader who irst had to understand that some crucial anti-eedback experiments were made on equipment that did indeed sound worse with moderate loop gains applied. 2

3 I won t attempt to comment directly on the evolution o the spectrum based on the Child-Langmuir-Compton equation. Partly because as I said, your ampliier is more complex than a single valve so the spectrum is not determined by just this equation, and partly because I wanted to point out an interesting generality which you can then set loose on any kind o non-linear transer (that is, I m giving you 10 0 homework). Observing 10 the Baxandall style plot rom the article, we can t help noticing that the relative distribution o harmonics settles down as loop gain increases. The 80 closed loop nonlinearity asymptotically (or large values o loop gain) approaches a new unction that isn t Loop Gain (db) the original nonlinearity Harmonic Magnitude (db) So although we already igured out that the elementary explanation o eedback reducing the harmonics o the orward nonlinearity by a actor equal to loop gain was a bit oversimpliied, we see something else looming on the horizon: another unction whose harmonics are indeed being reduced by loop gain. That would be great, because it would make it easier to predict the spectrum o ampliiers with requency dependent loop gain (i.e. all o them). So what unction is it? Take the model presented in the article, but now put in any unction: x V out=(v in) y 3

4 Writing this down we get: y = ( ( x y ) It s not hard to see that or most unctions there s going to be no algebraic solution. That doesn t mean we can t get to see the shape o it. pply the inverse o on both sides. ( y) = ( ( ( x y ) 1 or ( y) = ( x y) Shuling a bit we get: ( y) + y = x ( y) + y = x (1) Right. Strictly speaking that brings us no urther to a closed orm solution or y. But hang on. s increases, y approaches x. Put on your numeric hat and try to solve the equation by successive approximation. First, rewrite (1) as: y = x ( y) nd substitute it into itsel: x ( y) + y = x (2) ter how many iterations would this procedure converge? Very rapidly i is large. May I suggest we don t even iterate once? The only error we re making is to neglect the distortion o the distortion. 4

5 For large values o, we may say that: ( x) + y x Rearranging: y x ( x) Conclusion: Negative eedback does not attenuate the harmonics o the open-loop nonlinearity, but o its inverse. 5

Analog Computing Technique

Analog Computing Technique Analog Computing Technique by obert Paz Chapter Programming Principles and Techniques. Analog Computers and Simulation An analog computer can be used to solve various types o problems. It solves them in

More information

Algebra II Notes Inverse Functions Unit 1.2. Inverse of a Linear Function. Math Background

Algebra II Notes Inverse Functions Unit 1.2. Inverse of a Linear Function. Math Background Algebra II Notes Inverse Functions Unit 1. Inverse o a Linear Function Math Background Previously, you Perormed operations with linear unctions Identiied the domain and range o linear unctions In this

More information

MEASUREMENT UNCERTAINTIES

MEASUREMENT UNCERTAINTIES MEASUREMENT UNCERTAINTIES What distinguishes science rom philosophy is that it is grounded in experimental observations. These observations are most striking when they take the orm o a quantitative measurement.

More information

Math101, Sections 2 and 3, Spring 2008 Review Sheet for Exam #2:

Math101, Sections 2 and 3, Spring 2008 Review Sheet for Exam #2: Math101, Sections 2 and 3, Spring 2008 Review Sheet for Exam #2: 03 17 08 3 All about lines 3.1 The Rectangular Coordinate System Know how to plot points in the rectangular coordinate system. Know the

More information

Objectives. By the time the student is finished with this section of the workbook, he/she should be able

Objectives. By the time the student is finished with this section of the workbook, he/she should be able FUNCTIONS Quadratic Functions......8 Absolute Value Functions.....48 Translations o Functions..57 Radical Functions...61 Eponential Functions...7 Logarithmic Functions......8 Cubic Functions......91 Piece-Wise

More information

A Systematic Approach to Frequency Compensation of the Voltage Loop in Boost PFC Pre- regulators.

A Systematic Approach to Frequency Compensation of the Voltage Loop in Boost PFC Pre- regulators. A Systematic Approach to Frequency Compensation o the Voltage Loop in oost PFC Pre- regulators. Claudio Adragna, STMicroelectronics, Italy Abstract Venable s -actor method is a systematic procedure that

More information

Philadelphia University Faculty of Engineering Communication and Electronics Engineering

Philadelphia University Faculty of Engineering Communication and Electronics Engineering Module: Electronics II Module Number: 6503 Philadelphia University Faculty o Engineering Communication and Electronics Engineering Ampliier Circuits-II BJT and FET Frequency Response Characteristics: -

More information

2. ETA EVALUATIONS USING WEBER FUNCTIONS. Introduction

2. ETA EVALUATIONS USING WEBER FUNCTIONS. Introduction . ETA EVALUATIONS USING WEBER FUNCTIONS Introduction So ar we have seen some o the methods or providing eta evaluations that appear in the literature and we have seen some o the interesting properties

More information

( 1) ( 2) ( 1) nan integer, since the potential is no longer simple harmonic.

( 1) ( 2) ( 1) nan integer, since the potential is no longer simple harmonic. . Anharmonic Oscillators Michael Fowler Landau (para 8) considers a simple harmonic oscillator with added small potential energy terms mα + mβ. We ll simpliy slightly by dropping the term, to give an equation

More information

Asymptote. 2 Problems 2 Methods

Asymptote. 2 Problems 2 Methods Asymptote Problems Methods Problems Assume we have the ollowing transer unction which has a zero at =, a pole at = and a pole at =. We are going to look at two problems: problem is where >> and problem

More information

Curve Sketching. The process of curve sketching can be performed in the following steps:

Curve Sketching. The process of curve sketching can be performed in the following steps: Curve Sketching So ar you have learned how to ind st and nd derivatives o unctions and use these derivatives to determine where a unction is:. Increasing/decreasing. Relative extrema 3. Concavity 4. Points

More information

One important way that you can classify differential equations is as linear or nonlinear.

One important way that you can classify differential equations is as linear or nonlinear. In This Chapter Chapter 1 Looking Closely at Linear First Order Differential Equations Knowing what a first order linear differential equation looks like Finding solutions to first order differential equations

More information

ECE 2100 Lecture notes Wed, 1/22/03

ECE 2100 Lecture notes Wed, 1/22/03 HW #4, due, /24 Ch : 34, 37, 43 ECE 0 Lecture notes Wed, /22/03 Exercises: 2., 2.2, 2.4, 2.5 Stu or hints etc., see lecture notes or, /7 Problem Sessions: W, :50-2:40 am, WBB 22 (tall brick geology building),

More information

RESOLUTION MSC.362(92) (Adopted on 14 June 2013) REVISED RECOMMENDATION ON A STANDARD METHOD FOR EVALUATING CROSS-FLOODING ARRANGEMENTS

RESOLUTION MSC.362(92) (Adopted on 14 June 2013) REVISED RECOMMENDATION ON A STANDARD METHOD FOR EVALUATING CROSS-FLOODING ARRANGEMENTS (Adopted on 4 June 203) (Adopted on 4 June 203) ANNEX 8 (Adopted on 4 June 203) MSC 92/26/Add. Annex 8, page THE MARITIME SAFETY COMMITTEE, RECALLING Article 28(b) o the Convention on the International

More information

Figure 1: Doing work on a block by pushing it across the floor.

Figure 1: Doing work on a block by pushing it across the floor. Work Let s imagine I have a block which I m pushing across the floor, shown in Figure 1. If I m moving the block at constant velocity, then I know that I have to apply a force to compensate the effects

More information

CHAPTER 1: INTRODUCTION. 1.1 Inverse Theory: What It Is and What It Does

CHAPTER 1: INTRODUCTION. 1.1 Inverse Theory: What It Is and What It Does Geosciences 567: CHAPTER (RR/GZ) CHAPTER : INTRODUCTION Inverse Theory: What It Is and What It Does Inverse theory, at least as I choose to deine it, is the ine art o estimating model parameters rom data

More information

Lecture 10: Powers of Matrices, Difference Equations

Lecture 10: Powers of Matrices, Difference Equations Lecture 10: Powers of Matrices, Difference Equations Difference Equations A difference equation, also sometimes called a recurrence equation is an equation that defines a sequence recursively, i.e. each

More information

(C) The rationals and the reals as linearly ordered sets. Contents. 1 The characterizing results

(C) The rationals and the reals as linearly ordered sets. Contents. 1 The characterizing results (C) The rationals and the reals as linearly ordered sets We know that both Q and R are something special. When we think about about either o these we usually view it as a ield, or at least some kind o

More information

Hypothesis testing I. - In particular, we are talking about statistical hypotheses. [get everyone s finger length!] n =

Hypothesis testing I. - In particular, we are talking about statistical hypotheses. [get everyone s finger length!] n = Hypothesis testing I I. What is hypothesis testing? [Note we re temporarily bouncing around in the book a lot! Things will settle down again in a week or so] - Exactly what it says. We develop a hypothesis,

More information

Math 248B. Base change morphisms

Math 248B. Base change morphisms Math 248B. Base change morphisms 1. Motivation A basic operation with shea cohomology is pullback. For a continuous map o topological spaces : X X and an abelian shea F on X with (topological) pullback

More information

What happens to the value of the expression x + y every time we execute this loop? while x>0 do ( y := y+z ; x := x:= x z )

What happens to the value of the expression x + y every time we execute this loop? while x>0 do ( y := y+z ; x := x:= x z ) Starter Questions Feel free to discuss these with your neighbour: Consider two states s 1 and s 2 such that s 1, x := x + 1 s 2 If predicate P (x = y + 1) is true for s 2 then what does that tell us about

More information

One-to-one functions and onto functions

One-to-one functions and onto functions MA 3362 Lecture 7 - One-to-one and Onto Wednesday, October 22, 2008. Objectives: Formalize definitions of one-to-one and onto One-to-one functions and onto functions At the level of set theory, there are

More information

Basic mathematics of economic models. 3. Maximization

Basic mathematics of economic models. 3. Maximization John Riley 1 January 16 Basic mathematics o economic models 3 Maimization 31 Single variable maimization 1 3 Multi variable maimization 6 33 Concave unctions 9 34 Maimization with non-negativity constraints

More information

Roberto s Notes on Differential Calculus Chapter 8: Graphical analysis Section 1. Extreme points

Roberto s Notes on Differential Calculus Chapter 8: Graphical analysis Section 1. Extreme points Roberto s Notes on Dierential Calculus Chapter 8: Graphical analysis Section 1 Extreme points What you need to know already: How to solve basic algebraic and trigonometric equations. All basic techniques

More information

Chapter 8: Converter Transfer Functions

Chapter 8: Converter Transfer Functions Chapter 8. Converter Transer Functions 8.1. Review o Bode plots 8.1.1. Single pole response 8.1.2. Single zero response 8.1.3. Right hal-plane zero 8.1.4. Frequency inversion 8.1.5. Combinations 8.1.6.

More information

Yet More On Decoupling, Part 5 When Harry Regulator Met Sally Op-Amp Kendall Castor-Perry

Yet More On Decoupling, Part 5 When Harry Regulator Met Sally Op-Amp Kendall Castor-Perry Page 1 of 8 Yet More On Decoupling, Part 5 When Harry Regulator Met Sally Op-Amp Kendall Castor-Perry This article was published on EDN: http://www.edn.com/design/powermanagement/4415318/why-bypass-caps-make-a-difference---part-5--supply-impedanceand-op-amp-interaction

More information

AH 2700A. Attenuator Pair Ratio for C vs Frequency. Option-E 50 Hz-20 khz Ultra-precision Capacitance/Loss Bridge

AH 2700A. Attenuator Pair Ratio for C vs Frequency. Option-E 50 Hz-20 khz Ultra-precision Capacitance/Loss Bridge 0 E ttenuator Pair Ratio or vs requency NEEN-ERLN 700 Option-E 0-0 k Ultra-precision apacitance/loss ridge ttenuator Ratio Pair Uncertainty o in ppm or ll Usable Pairs o Taps 0 0 0. 0. 0. 07/08/0 E E E

More information

I started to think that maybe I could just distribute the log so that I get:

I started to think that maybe I could just distribute the log so that I get: 2.3 Chopping Logs A Solidify Understanding Task Abe and Mary were working on their math homework together when Abe has a brilliant idea Abe: I was just looking at this log function that we graphed in Falling

More information

Regression, part II. I. What does it all mean? A) Notice that so far all we ve done is math.

Regression, part II. I. What does it all mean? A) Notice that so far all we ve done is math. Regression, part II I. What does it all mean? A) Notice that so far all we ve done is math. 1) One can calculate the Least Squares Regression Line for anything, regardless of any assumptions. 2) But, if

More information

Thu June 16 Lecture Notes: Lattice Exercises I

Thu June 16 Lecture Notes: Lattice Exercises I Thu June 6 ecture Notes: attice Exercises I T. Satogata: June USPAS Accelerator Physics Most o these notes ollow the treatment in the class text, Conte and MacKay, Chapter 6 on attice Exercises. The portions

More information

KIRCHHOFF S LAWS. Learn how to analyze more complicated circuits with more than one voltage source and numerous resistors.

KIRCHHOFF S LAWS. Learn how to analyze more complicated circuits with more than one voltage source and numerous resistors. KIRCHHOFF S LAWS Lab Goals: Learn how to analyze more complicated circuits with more than one voltage source and numerous resistors. Lab Notebooks: Write descriptions of all of your experiments in your

More information

The concept of limit

The concept of limit Roberto s Notes on Dierential Calculus Chapter 1: Limits and continuity Section 1 The concept o limit What you need to know already: All basic concepts about unctions. What you can learn here: What limits

More information

Discrete Structures Proofwriting Checklist

Discrete Structures Proofwriting Checklist CS103 Winter 2019 Discrete Structures Proofwriting Checklist Cynthia Lee Keith Schwarz Now that we re transitioning to writing proofs about discrete structures like binary relations, functions, and graphs,

More information

9.1 The Square Root Function

9.1 The Square Root Function Section 9.1 The Square Root Function 869 9.1 The Square Root Function In this section we turn our attention to the square root unction, the unction deined b the equation () =. (1) We begin the section

More information

The Clifford algebra and the Chevalley map - a computational approach (detailed version 1 ) Darij Grinberg Version 0.6 (3 June 2016). Not proofread!

The Clifford algebra and the Chevalley map - a computational approach (detailed version 1 ) Darij Grinberg Version 0.6 (3 June 2016). Not proofread! The Cliord algebra and the Chevalley map - a computational approach detailed version 1 Darij Grinberg Version 0.6 3 June 2016. Not prooread! 1. Introduction: the Cliord algebra The theory o the Cliord

More information

[Disclaimer: This is not a complete list of everything you need to know, just some of the topics that gave people difficulty.]

[Disclaimer: This is not a complete list of everything you need to know, just some of the topics that gave people difficulty.] Math 43 Review Notes [Disclaimer: This is not a complete list of everything you need to know, just some of the topics that gave people difficulty Dot Product If v (v, v, v 3 and w (w, w, w 3, then the

More information

Q520: Answers to the Homework on Hopfield Networks. 1. For each of the following, answer true or false with an explanation:

Q520: Answers to the Homework on Hopfield Networks. 1. For each of the following, answer true or false with an explanation: Q50: Answers to the Homework on Hopfield Networks 1. For each of the following, answer true or false with an explanation: a. Fix a Hopfield net. If o and o are neighboring observation patterns then Φ(

More information

Linear algebra and differential equations (Math 54): Lecture 10

Linear algebra and differential equations (Math 54): Lecture 10 Linear algebra and differential equations (Math 54): Lecture 10 Vivek Shende February 24, 2016 Hello and welcome to class! As you may have observed, your usual professor isn t here today. He ll be back

More information

5.2 Infinite Series Brian E. Veitch

5.2 Infinite Series Brian E. Veitch 5. Infinite Series Since many quantities show up that cannot be computed exactly, we need some way of representing it (or approximating it). One way is to sum an infinite series. Recall that a n is the

More information

Decibels, Filters, and Bode Plots

Decibels, Filters, and Bode Plots 23 db Decibels, Filters, and Bode Plots 23. LOGAITHMS The use o logarithms in industry is so extensive that a clear understanding o their purpose and use is an absolute necessity. At irst exposure, logarithms

More information

Wind-Driven Circulation: Stommel s gyre & Sverdrup s balance

Wind-Driven Circulation: Stommel s gyre & Sverdrup s balance Wind-Driven Circulation: Stommel s gyre & Sverdrup s balance We begin by returning to our system o equations or low o a layer o uniorm density on a rotating earth. du dv h + [ u( H + h)] + [ v( H t y d

More information

Bipolar Transistors. Bipolar Transistors Application Note. Description

Bipolar Transistors. Bipolar Transistors Application Note. Description Bipolar Transistors Description This document describes the electrical characteristics o bipolar transistors. 08-07-0 Table o Contents Description... Table o Contents.... Transistor characteristics...

More information

( ) ( ) ( ) + ( ) Ä ( ) Langmuir Adsorption Isotherms. dt k : rates of ad/desorption, N : totally number of adsorption sites.

( ) ( ) ( ) + ( ) Ä ( ) Langmuir Adsorption Isotherms. dt k : rates of ad/desorption, N : totally number of adsorption sites. Langmuir Adsorption sotherms... 1 Summarizing Remarks... Langmuir Adsorption sotherms Assumptions: o Adsorp at most one monolayer o Surace is uniorm o No interaction between adsorbates All o these assumptions

More information

Isomorphisms and Well-definedness

Isomorphisms and Well-definedness Isomorphisms and Well-definedness Jonathan Love October 30, 2016 Suppose you want to show that two groups G and H are isomorphic. There are a couple of ways to go about doing this depending on the situation,

More information

Today. Introduction to optimization Definition and motivation 1-dimensional methods. Multi-dimensional methods. General strategies, value-only methods

Today. Introduction to optimization Definition and motivation 1-dimensional methods. Multi-dimensional methods. General strategies, value-only methods Optimization Last time Root inding: deinition, motivation Algorithms: Bisection, alse position, secant, Newton-Raphson Convergence & tradeos Eample applications o Newton s method Root inding in > 1 dimension

More information

1 Rational Exponents and Radicals

1 Rational Exponents and Radicals Introductory Algebra Page 1 of 11 1 Rational Eponents and Radicals 1.1 Rules of Eponents The rules for eponents are the same as what you saw earlier. Memorize these rules if you haven t already done so.

More information

Physics 2B Chapter 17 Notes - First Law of Thermo Spring 2018

Physics 2B Chapter 17 Notes - First Law of Thermo Spring 2018 Internal Energy o a Gas Work Done by a Gas Special Processes The First Law o Thermodynamics p Diagrams The First Law o Thermodynamics is all about the energy o a gas: how much energy does the gas possess,

More information

2 Discrete Dynamical Systems (DDS)

2 Discrete Dynamical Systems (DDS) 2 Discrete Dynamical Systems (DDS) 2.1 Basics A Discrete Dynamical System (DDS) models the change (or dynamics) of single or multiple populations or quantities in which the change occurs deterministically

More information

Basic properties of limits

Basic properties of limits Roberto s Notes on Dierential Calculus Chapter : Limits and continuity Section Basic properties o its What you need to know already: The basic concepts, notation and terminology related to its. What you

More information

Lecture 12 : Recurrences DRAFT

Lecture 12 : Recurrences DRAFT CS/Math 240: Introduction to Discrete Mathematics 3/1/2011 Lecture 12 : Recurrences Instructor: Dieter van Melkebeek Scribe: Dalibor Zelený DRAFT Last few classes we talked about program correctness. We

More information

Feedback Linearization

Feedback Linearization Feedback Linearization Peter Al Hokayem and Eduardo Gallestey May 14, 2015 1 Introduction Consider a class o single-input-single-output (SISO) nonlinear systems o the orm ẋ = (x) + g(x)u (1) y = h(x) (2)

More information

27. THESE SENTENCES CERTAINLY LOOK DIFFERENT

27. THESE SENTENCES CERTAINLY LOOK DIFFERENT 27 HESE SENENCES CERAINLY LOOK DIEREN comparing expressions versus comparing sentences a motivating example: sentences that LOOK different; but, in a very important way, are the same Whereas the = sign

More information

Designing Information Devices and Systems I Spring 2018 Lecture Notes Note Introduction to Linear Algebra the EECS Way

Designing Information Devices and Systems I Spring 2018 Lecture Notes Note Introduction to Linear Algebra the EECS Way EECS 16A Designing Information Devices and Systems I Spring 018 Lecture Notes Note 1 1.1 Introduction to Linear Algebra the EECS Way In this note, we will teach the basics of linear algebra and relate

More information

The achievable limits of operational modal analysis. * Siu-Kui Au 1)

The achievable limits of operational modal analysis. * Siu-Kui Au 1) The achievable limits o operational modal analysis * Siu-Kui Au 1) 1) Center or Engineering Dynamics and Institute or Risk and Uncertainty, University o Liverpool, Liverpool L69 3GH, United Kingdom 1)

More information

2.1 Definition. Let n be a positive integer. An n-dimensional vector is an ordered list of n real numbers.

2.1 Definition. Let n be a positive integer. An n-dimensional vector is an ordered list of n real numbers. 2 VECTORS, POINTS, and LINEAR ALGEBRA. At first glance, vectors seem to be very simple. It is easy enough to draw vector arrows, and the operations (vector addition, dot product, etc.) are also easy to

More information

Math 3361-Modern Algebra Lecture 08 9/26/ Cardinality

Math 3361-Modern Algebra Lecture 08 9/26/ Cardinality Math 336-Modern Algebra Lecture 08 9/26/4. Cardinality I started talking about cardinality last time, and you did some stuff with it in the Homework, so let s continue. I said that two sets have the same

More information

TLT-5200/5206 COMMUNICATION THEORY, Exercise 3, Fall TLT-5200/5206 COMMUNICATION THEORY, Exercise 3, Fall Problem 1.

TLT-5200/5206 COMMUNICATION THEORY, Exercise 3, Fall TLT-5200/5206 COMMUNICATION THEORY, Exercise 3, Fall Problem 1. TLT-5/56 COMMUNICATION THEORY, Exercise 3, Fall Problem. The "random walk" was modelled as a random sequence [ n] where W[i] are binary i.i.d. random variables with P[W[i] = s] = p (orward step with probability

More information

Supplementary material for Continuous-action planning for discounted infinite-horizon nonlinear optimal control with Lipschitz values

Supplementary material for Continuous-action planning for discounted infinite-horizon nonlinear optimal control with Lipschitz values Supplementary material or Continuous-action planning or discounted ininite-horizon nonlinear optimal control with Lipschitz values List o main notations x, X, u, U state, state space, action, action space,

More information

Mixed Signal IC Design Notes set 6: Mathematics of Electrical Noise

Mixed Signal IC Design Notes set 6: Mathematics of Electrical Noise ECE45C /8C notes, M. odwell, copyrighted 007 Mied Signal IC Design Notes set 6: Mathematics o Electrical Noise Mark odwell University o Caliornia, Santa Barbara rodwell@ece.ucsb.edu 805-893-344, 805-893-36

More information

Available online at ScienceDirect. Energy Procedia 83 (2015 ) Václav Dvo ák a *, Tomáš Vít a

Available online at   ScienceDirect. Energy Procedia 83 (2015 ) Václav Dvo ák a *, Tomáš Vít a Available online at www.sciencedirect.com ScienceDirect Energy Procedia 83 (205 ) 34 349 7th International Conerence on Sustainability in Energy and Buildings Numerical investigation o counter low plate

More information

Decibels, Filters, and Bode Plots

Decibels, Filters, and Bode Plots Decibels, Filters, and Bode Plots 2 Objectives Develop conidence in the use o logarithms and decibels in the description o power and voltage levels. Become amiliar with the requency response o high- and

More information

Complex Numbers: A Brief Introduction. By: Neal Dempsey. History of Mathematics. Prof. Jennifer McCarthy. July 16, 2010

Complex Numbers: A Brief Introduction. By: Neal Dempsey. History of Mathematics. Prof. Jennifer McCarthy. July 16, 2010 1 Complex Numbers: A Brief Introduction. By: Neal Dempsey History of Mathematics Prof. Jennifer McCarthy July 16, 2010 2 Abstract Complex numbers, although confusing at times, are one of the most elegant

More information

sensors ISSN

sensors ISSN Sensors 1, 1, 744-756; doi:1.339/s17744 OPEN ACCESS sensors ISSN 144-8 www.mdpi.com/journal/sensors Article Investigation o the Frequency Shit o a SAD Circuit Loop and the Internal Micro-Cantilever in

More information

Bandwidth of op amps. R 1 R 2 1 k! 250 k!

Bandwidth of op amps. R 1 R 2 1 k! 250 k! Bandwidth of op amps An experiment - connect a simple non-inverting op amp and measure the frequency response. From the ideal op amp model, we expect the amp to work at any frequency. Is that what happens?

More information

APPLICATION OF A SCANNING VIBROMETER FOR THE PERIODIC CALIBRATION OF FORCE TRANSDUCERS

APPLICATION OF A SCANNING VIBROMETER FOR THE PERIODIC CALIBRATION OF FORCE TRANSDUCERS XX IMEKO World Congress Metrology or Green Growth September 9 14, 01, Busan, Republic o Korea APPLICATION OF A SCANNING VIBROMETER FOR THE PERIODIC CALIBRATION OF FORCE TRANSDUCERS Christian Schlegel,

More information

Proof Techniques (Review of Math 271)

Proof Techniques (Review of Math 271) Chapter 2 Proof Techniques (Review of Math 271) 2.1 Overview This chapter reviews proof techniques that were probably introduced in Math 271 and that may also have been used in a different way in Phil

More information

) t 0(q+ t ) dt n t( t) dt ( rre i dq t 0 u = = t l C t) t) a i( ( q tric c le E

) t 0(q+ t ) dt n t( t) dt ( rre i dq t 0 u = = t l C t) t) a i( ( q tric c le E EE70 eview Electrical Current i ( t ) dq ( t ) dt t q ( t ) i ( t ) dt + t 0 q ( t 0 ) Circuit Elements An electrical circuit consists o circuit elements such as voltage sources, resistances, inductances

More information

The paradox of knowability, the knower, and the believer

The paradox of knowability, the knower, and the believer The paradox of knowability, the knower, and the believer Last time, when discussing the surprise exam paradox, we discussed the possibility that some claims could be true, but not knowable by certain individuals

More information

0. Introduction 1 0. INTRODUCTION

0. Introduction 1 0. INTRODUCTION 0. Introduction 1 0. INTRODUCTION In a very rough sketch we explain what algebraic geometry is about and what it can be used for. We stress the many correlations with other fields of research, such as

More information

Page 1 of 15 Page 2 of 15 Ohm s Law Basic Electricity Worksheet Topics Question 1 For a given amount of water pressure, which will flow a greater rate of water: a small (restrictive) nozzle or a large

More information

RATIONAL FUNCTIONS. Finding Asymptotes..347 The Domain Finding Intercepts Graphing Rational Functions

RATIONAL FUNCTIONS. Finding Asymptotes..347 The Domain Finding Intercepts Graphing Rational Functions RATIONAL FUNCTIONS Finding Asymptotes..347 The Domain....350 Finding Intercepts.....35 Graphing Rational Functions... 35 345 Objectives The ollowing is a list o objectives or this section o the workbook.

More information

Rectangular Systems and Echelon Forms

Rectangular Systems and Echelon Forms CHAPTER 2 Rectangular Systems and Echelon Forms 2.1 ROW ECHELON FORM AND RANK We are now ready to analyze more general linear systems consisting of m linear equations involving n unknowns a 11 x 1 + a

More information

CHAPTER 3: THE INTEGERS Z

CHAPTER 3: THE INTEGERS Z CHAPTER 3: THE INTEGERS Z MATH 378, CSUSM. SPRING 2009. AITKEN 1. Introduction The natural numbers are designed for measuring the size of finite sets, but what if you want to compare the sizes of two sets?

More information

AN ALGEBRA PRIMER WITH A VIEW TOWARD CURVES OVER FINITE FIELDS

AN ALGEBRA PRIMER WITH A VIEW TOWARD CURVES OVER FINITE FIELDS AN ALGEBRA PRIMER WITH A VIEW TOWARD CURVES OVER FINITE FIELDS The integers are the set 1. Groups, Rings, and Fields: Basic Examples Z := {..., 3, 2, 1, 0, 1, 2, 3,...}, and we can add, subtract, and multiply

More information

N H 2 2 NH 3 and 2 NH 3 N H 2

N H 2 2 NH 3 and 2 NH 3 N H 2 Chemical Equilibrium Notes (Chapter 18) So far, we ve talked about all chemical reactions as if they go only in one direction. However, as with many things in life, chemical reactions can go both in the

More information

Gr. 11 Physics Electricity

Gr. 11 Physics Electricity Gr. 11 Physics Electricity This chart contains a complete list of the lessons and homework for Gr. 11 Physics. Please complete all the worksheets and problems listed under Homework before the next class.

More information

Impedance and Admittance Parameters

Impedance and Admittance Parameters 1/31/011 mpedance and Admittance Parameters lecture 1/ mpedance and Admittance Parameters Say we wish to connect the put of one circuit to the input of another. #1 put port input port # The terms input

More information

Electric Current Unlike static electricity, electric current is a continuous flow of charged particles (electricity). For current to flow, there must

Electric Current Unlike static electricity, electric current is a continuous flow of charged particles (electricity). For current to flow, there must CURRENT ELECTRICITY Electric Current Unlike static electricity, electric current is a continuous flow of charged particles (electricity). For current to flow, there must be a power source and there must

More information

Shaker Rigs revisited

Shaker Rigs revisited Shaker Rigs revisited One o the irst articles I ever wrote or Racecar Engineering was on 4 post and 7 post shaker rigs. That article was over 5 years a go and a lot o water has lowed under the bridge and

More information

8.3 Design of Base Plate for Thickness

8.3 Design of Base Plate for Thickness 8.3 Design o Base Plate or Thickness 8.3.1 Design o base plate or thickness (Elastic Design) Upto this point, the chie concern has been about the concrete oundation, and methods o design have been proposed

More information

CS 301. Lecture 18 Decidable languages. Stephen Checkoway. April 2, 2018

CS 301. Lecture 18 Decidable languages. Stephen Checkoway. April 2, 2018 CS 301 Lecture 18 Decidable languages Stephen Checkoway April 2, 2018 1 / 26 Decidable language Recall, a language A is decidable if there is some TM M that 1 recognizes A (i.e., L(M) = A), and 2 halts

More information

Please bring the task to your first physics lesson and hand it to the teacher.

Please bring the task to your first physics lesson and hand it to the teacher. Pre-enrolment task for 2014 entry Physics Why do I need to complete a pre-enrolment task? This bridging pack serves a number of purposes. It gives you practice in some of the important skills you will

More information

Quadratic Equations Part I

Quadratic Equations Part I Quadratic Equations Part I Before proceeding with this section we should note that the topic of solving quadratic equations will be covered in two sections. This is done for the benefit of those viewing

More information

Mechanics, Heat, Oscillations and Waves Prof. V. Balakrishnan Department of Physics Indian Institute of Technology, Madras

Mechanics, Heat, Oscillations and Waves Prof. V. Balakrishnan Department of Physics Indian Institute of Technology, Madras Mechanics, Heat, Oscillations and Waves Prof. V. Balakrishnan Department of Physics Indian Institute of Technology, Madras Lecture - 21 Central Potential and Central Force Ready now to take up the idea

More information

Homework 2. Due Friday (5pm), Feb. 8, 2013

Homework 2. Due Friday (5pm), Feb. 8, 2013 University of California, Berkeley Spring 2013 EE 42/100 Prof. K. Pister Homework 2 Due Friday (5pm), Feb. 8, 2013 Please turn the homework in to the drop box located next to 125 Cory Hall (labeled EE

More information

27. THESE SENTENCES CERTAINLY LOOK DIFFERENT

27. THESE SENTENCES CERTAINLY LOOK DIFFERENT get the complete book: http://wwwonemathematicalcatorg/getullextullbookhtm 27 HESE SENENCES CERAINLY LOOK DIEREN comparing expressions versus comparing sentences a motivating example: sentences that LOOK

More information

SHORT COMMUNICATION. Diversity partitions in 3-way sorting: functions, Venn diagram mappings, typical additive series, and examples

SHORT COMMUNICATION. Diversity partitions in 3-way sorting: functions, Venn diagram mappings, typical additive series, and examples COMMUNITY ECOLOGY 7(): 53-57, 006 585-8553/$0.00 Akadémiai Kiadó, Budapest DOI: 0.556/ComEc.7.006.. SHORT COMMUNICATION Diversity partitions in 3-way sorting: unctions, Venn diagram mappings, typical additive

More information

9.3 Graphing Functions by Plotting Points, The Domain and Range of Functions

9.3 Graphing Functions by Plotting Points, The Domain and Range of Functions 9. Graphing Functions by Plotting Points, The Domain and Range o Functions Now that we have a basic idea o what unctions are and how to deal with them, we would like to start talking about the graph o

More information

Physics 2112 Unit 16

Physics 2112 Unit 16 Physics 2112 Unit 16 Concept: Motional EMF Unit 16, Slide 1 Your Comments Hopefully I will understand more after lecture. May be time to open the book. can we go over the conducting loop moving toward

More information

Working zones of an AC Autonomous Switched Reluctance Generator

Working zones of an AC Autonomous Switched Reluctance Generator Working zones o an C utonomous Switched Reluctance Generator. Martínez 1, J. E. Vicuña 2, F. J. Pérez 1, B. Martín 1, E. Laloya 1, T. Pollán 1, B. Sánchez 3 y J. Lladó 3 1 Department o tronics and Communications

More information

Circuit Analysis and Ohm s Law

Circuit Analysis and Ohm s Law Study Unit Circuit Analysis and Ohm s Law By Robert Cecci Circuit analysis is one of the fundamental jobs of an electrician or electronics technician With the knowledge of how voltage, current, and resistance

More information

( x) f = where P and Q are polynomials.

( x) f = where P and Q are polynomials. 9.8 Graphing Rational Functions Lets begin with a deinition. Deinition: Rational Function A rational unction is a unction o the orm ( ) ( ) ( ) P where P and Q are polynomials. Q An eample o a simple rational

More information

Lecture 4: Training a Classifier

Lecture 4: Training a Classifier Lecture 4: Training a Classifier Roger Grosse 1 Introduction Now that we ve defined what binary classification is, let s actually train a classifier. We ll approach this problem in much the same way as

More information

8.4 Inverse Functions

8.4 Inverse Functions Section 8. Inverse Functions 803 8. Inverse Functions As we saw in the last section, in order to solve application problems involving eponential unctions, we will need to be able to solve eponential equations

More information

Dealing with the assumption of independence between samples - introducing the paired design.

Dealing with the assumption of independence between samples - introducing the paired design. Dealing with the assumption of independence between samples - introducing the paired design. a) Suppose you deliberately collect one sample and measure something. Then you collect another sample in such

More information

Real Analysis Prof. S.H. Kulkarni Department of Mathematics Indian Institute of Technology, Madras. Lecture - 13 Conditional Convergence

Real Analysis Prof. S.H. Kulkarni Department of Mathematics Indian Institute of Technology, Madras. Lecture - 13 Conditional Convergence Real Analysis Prof. S.H. Kulkarni Department of Mathematics Indian Institute of Technology, Madras Lecture - 13 Conditional Convergence Now, there are a few things that are remaining in the discussion

More information

Manual of Logical Style

Manual of Logical Style Manual of Logical Style Dr. Holmes January 9, 2015 Contents 1 Introduction 2 2 Conjunction 3 2.1 Proving a conjunction...................... 3 2.2 Using a conjunction........................ 3 3 Implication

More information

Line Integrals and Path Independence

Line Integrals and Path Independence Line Integrals and Path Independence We get to talk about integrals that are the areas under a line in three (or more) dimensional space. These are called, strangely enough, line integrals. Figure 11.1

More information

Feedback Linearization Lectures delivered at IIT-Kanpur, TEQIP program, September 2016.

Feedback Linearization Lectures delivered at IIT-Kanpur, TEQIP program, September 2016. Feedback Linearization Lectures delivered at IIT-Kanpur, TEQIP program, September 216 Ravi N Banavar banavar@iitbacin September 24, 216 These notes are based on my readings o the two books Nonlinear Control

More information

Circuit Theory Prof. S.C. Dutta Roy Department of Electrical Engineering Indian Institute of Technology, Delhi

Circuit Theory Prof. S.C. Dutta Roy Department of Electrical Engineering Indian Institute of Technology, Delhi Circuit Theory Prof. S.C. Dutta Roy Department of Electrical Engineering Indian Institute of Technology, Delhi Lecture - 43 RC and RL Driving Point Synthesis People will also have to be told I will tell,

More information