Signal types. Signal characteristics: RMS, power, db Probability Density Function (PDF). Analogue-to-Digital Conversion (ADC).

Size: px
Start display at page:

Download "Signal types. Signal characteristics: RMS, power, db Probability Density Function (PDF). Analogue-to-Digital Conversion (ADC)."

Transcription

1 Signal types. Signal characteristics:, power, db Probability Density Function (PDF). Analogue-to-Digital Conversion (ADC).

2 Signal types Stationary (average properties don t vary with time) Deterministic Instantaneous value is predictable at all points in time Random Only statistical properties are predictable Spectrum is continuous Non-stationary Continuous - eg speech Transient eg shock

3 Signal characteristics?

4 Power of a signal Electric Power Vi Measured quantity ( units) V units sensitivity Power units Transducer V R V units sensitivity Power R R sensitivity Power units R Signal Conditioning (amplifier) V transducer sensitivity i R i=v/r Voltage across a resistor (recording device)

5 Instantaneous power In signal analysis the instantaneous sample squared is referred to as POWER It s is simply the instantaneous quantity squared, eg.5 (m/s )

6 Mean power of vibration and Root Mean Squares () Mean power of a sampled vibration signal (mean squares) N Mean power 0.3 N i 1 g i Mean level that produces the same power as the signal 1 or Root Mean Squares () N g i N N 1 i1 g i g N i 1 Standard deviation

7 of a signal stored in vector g rms=sqrt(mean(g.^)) Average Power Average Power

8 Mean power of harmonic signal A cos x over the period of (analytical solution) A cos A A x dx x 1 4 sin x 0 of a harmonic signal A A A

9 db scale (decibel) db scale is a relative logarithmic scale db db Since 10 log Power 10 log Power Power ref ref 0 db corresponds to? the reference level 0 log ref

10 db scale In air acoustics in which the sound pressure level is measured, the reference for the db scale is the average lowest threshold of audibility, by convention taken as 0 Pa ( x 10-5 Pa ) This 0 Pa is the of the reference signal In other applications, however, the db scale is used to compare the levels of two signals and the choice of reference level is arbitrary

11 db - example The level increases from the reference level (0 db) to 40 db in increments of 10 db. What is the corresponding factor by which the level and power increase? db P 10 0log db Power ref 0dB 1 1 db 0 10 ref 10dB db 0dB Pref 30dB dB

12 Dynamic range of ADC Dynamic range (in db), ref.=1 bi-polar ADC Dynamic range = 0 log (^resolution /) Eg. 0 log (^1 /) = 0 log 4096/ = 66 db 0 log (^16 /) = 0 log 65536/ = 90 db uni-polar ADC Dynamic range = 0 log (^resolution ) Eg. 0 log (^1 ) = 0 log 4096= 7 db

13 Probability Density pdfexample.m 4 random-gaussian 4 Probability Density Function Units Time (s) Normally distributed (Gaussian) random signal White noise

14 Probability Density Function - PDF random-gaussian 3 Probability Density Function pdf ( bin) In MATLAB: ti T binwidth 1 1 [ p, bins] hist( g, nbins); Units 0 0 p p / length( g) / diff ( bins(1: )); plot( bins, p) % or bar( bins, p) -1 - t 1 t -1 - xlabel('signal g (units)') ylabel(' PDF (1/unit') Time (s) x PDF estimate the fraction of total time the signal is within a particular bin, normalised (divided) by the bin width. The same as the number of points of data within a bin divided by the bin width Histogram of frequency of occurrence

15 Exercise Calculate the 3-phase mains voltage in Australia.

16 ADC parameters Analogue-to-Digital Converter Sample rate or frequency (Hz) Sampling interval (s, ms, s) Sample interval Sample 1 frequency Resolution the ability of ADC to distinguish the voltage Gain

17 Resolution of ADC Expressed in bits, eg. 1 bit resolution from 0 to states bit resolution states from 0 to 65535

18 Gain Internal amplification in the ADC Input voltage is amplified the gain times and supplied to the AD converter Why bother? Gain is used to improve the resolution of ADC conversion for lower voltage signals Example Voltage of V measured with the gain of 4 would appear to the ADC as 8V Low level ADC boards with the high gain (eg 500) are used for low sensitivity transducers such as thermocouples (eg full range +/-10V/500 = 0mV)

19 ADC - Voltage range (span) Bi-polar, eg. +/-10V Uni-polar, eg. 0-5V The range is divided into the resolution number of states, eg 1 = 4096 Bi-polar +/-10V, 1 bit resolution

20 Offset binary coded ADC The lowest voltage of the range is mapped to 0 by the ADC The highest voltage is mapped to bit_ resolution 10V 4096 = 1 0V V Voltage 0 Digital values

21 Example offset binary coding A bi-polar ADC with the voltage range of +/-10V, 1 bit resolution and the gain of one returns a digital value (DV) of 500. What is the voltage? Voltage span is 0 V (from 10V to 10V) Number of states is 4096 ( 1 ) -10V correspond to the DV of zero 10V correspond to the DV of V corresponds to 048 (4096/) Voltage Voltage DV V

22 Conversion of DV to voltage Various forms of conversion Voltage Voltage Voltage Voltage DV or 048 Specific cases 0 DV 10 or 4096 Span DV lowest voltage resolution Span DV lowest voltage resolution gain

Environmental Effects and Control of Noise Lecture 2

Environmental Effects and Control of Noise Lecture 2 Noise, Vibration, Harshness Sound Quality Research Group NVH-SQ Group University of Windsor 92-455 Environmental Effects and Control of Noise Copyright 2015 Colin Novak Copyright 2015 by Colin Novak. All

More information

Exercise 1: Thermocouple Characteristics

Exercise 1: Thermocouple Characteristics The Thermocouple Transducer Fundamentals Exercise 1: Thermocouple Characteristics EXERCISE OBJECTIVE When you have completed this exercise, you will be able to describe and demonstrate the characteristics

More information

Introduction to Acoustics. Phil Joseph

Introduction to Acoustics. Phil Joseph Introduction to Acoustics Phil Joseph INTRODUCTION TO ACOUSTICS Sound and Noise Sound waves Frequency, wavelength and wavespeed Point sources Sound power and intensity Wave reflection Standing waves Measures

More information

PROBLEMS FOR EXPERIMENT ES: ESTIMATING A SECOND Solutions

PROBLEMS FOR EXPERIMENT ES: ESTIMATING A SECOND Solutions Massachusetts Institute of Technology Physics Department 801X Fall 2002 PROBLEMS FOR EXPERIMENT ES: ESTIMATING A SECOND Solutions Problem 1: Use your calculator or your favorite software program to compute

More information

CMPT 889: Lecture 3 Fundamentals of Digital Audio, Discrete-Time Signals

CMPT 889: Lecture 3 Fundamentals of Digital Audio, Discrete-Time Signals CMPT 889: Lecture 3 Fundamentals of Digital Audio, Discrete-Time Signals Tamara Smyth, tamaras@cs.sfu.ca School of Computing Science, Simon Fraser University October 6, 2005 1 Sound Sound waves are longitudinal

More information

Music 170: Quantifying Sound

Music 170: Quantifying Sound Music 170: Quantifying Sound Tamara Smyth, trsmyth@ucsd.edu Department of Music, University of California, San Diego UCSD) October 5, 2017 1 Sound as a Wave Sound is a longitudinal compression wave: The

More information

!P x. !E x. Bad Things Happen to Good Signals Spring 2011 Lecture #6. Signal-to-Noise Ratio (SNR) Definition of Mean, Power, Energy ( ) 2.

!P x. !E x. Bad Things Happen to Good Signals Spring 2011 Lecture #6. Signal-to-Noise Ratio (SNR) Definition of Mean, Power, Energy ( ) 2. Bad Things Happen to Good Signals oise, broadly construed, is any change to the signal from its expected value, x[n] h[n], when it arrives at the receiver. We ll look at additive noise and assume the noise

More information

EE1305/EE1105 Intro to Electrical and Computer Engineering Lecture Week 6

EE1305/EE1105 Intro to Electrical and Computer Engineering Lecture Week 6 EE1305/EE1105 Intro to Electrical and Computer Engineering Lecture Week 6 Homework Passive Components Capacitors RC Filters fc Calculations Bode Plots Module III Homework- due 2/20 (Najera), due 2/23 (Quinones)

More information

Figure 1.1 (a) Model of a communication system, and (b) signal processing functions.

Figure 1.1 (a) Model of a communication system, and (b) signal processing functions. . Introduction to Signals and Operations Model of a Communication System [] Figure. (a) Model of a communication system, and (b) signal processing functions. Classification of Signals. Continuous-time

More information

Cambridge International Examinations Cambridge International Advanced Subsidiary and Advanced Level

Cambridge International Examinations Cambridge International Advanced Subsidiary and Advanced Level Cambridge International Examinations Cambridge International Advanced Subsidiary and Advanced Level *2358498204* PHYSICS 9702/42 Paper 4 A Level Structured Questions February/March 2018 2 hours Candidates

More information

Multimedia Systems Giorgio Leonardi A.A Lecture 4 -> 6 : Quantization

Multimedia Systems Giorgio Leonardi A.A Lecture 4 -> 6 : Quantization Multimedia Systems Giorgio Leonardi A.A.2014-2015 Lecture 4 -> 6 : Quantization Overview Course page (D.I.R.): https://disit.dir.unipmn.it/course/view.php?id=639 Consulting: Office hours by appointment:

More information

Edited By : Engr. Muhammad Muizz bin Mohd Nawawi

Edited By : Engr. Muhammad Muizz bin Mohd Nawawi Edited By : Engr. Muhammad Muizz bin Mohd Nawawi In an electronic circuit, a combination of high voltage (+5V) and low voltage (0V) is usually used to represent a binary number. For example, a binary number

More information

Acoustic Research Institute ARI

Acoustic Research Institute ARI Austrian Academy of Sciences Acoustic Research Institute ARI System Identification in Audio Engineering P. Majdak piotr@majdak.com Institut für Schallforschung, Österreichische Akademie der Wissenschaften;

More information

EE 230 Lecture 40. Data Converters. Amplitude Quantization. Quantization Noise

EE 230 Lecture 40. Data Converters. Amplitude Quantization. Quantization Noise EE 230 Lecture 40 Data Converters Amplitude Quantization Quantization Noise Review from Last Time: Time Quantization Typical ADC Environment Review from Last Time: Time Quantization Analog Signal Reconstruction

More information

PREDICTION OF FAN SOUND POWER

PREDICTION OF FAN SOUND POWER PREDICTION OF FAN SOUND POWER Fan noise is a function of the fan design (K w ), volume flow rate (Q), total pressure (P t ) and efficiency (c). The sound power generation of a given fan performing a given

More information

CS 1124Media computation. Oct 6, 2008 Steve Harrison

CS 1124Media computation. Oct 6, 2008 Steve Harrison CS 1124Media computation Oct 6, 2008 Steve Harrison Today Midterm Introduction to working with sound HW 5 - Faster and Faster Today Midterm Introduction to working with sound HW 5 - Faster and Faster Mid

More information

1. Quantization Signal to Noise Ratio (SNR).

1. Quantization Signal to Noise Ratio (SNR). Digital Signal Processing 2/ Advanced Digital Signal Processing Lecture 2, Quantization, SNR Gerald Schuller, TU Ilmenau 1. Quantization Signal to Noise Ratio (SNR). Assume we have a A/D converter with

More information

Time Varying Circuit Analysis

Time Varying Circuit Analysis MAS.836 Sensor Systems for Interactive Environments th Distributed: Tuesday February 16, 2010 Due: Tuesday February 23, 2010 Problem Set # 2 Time Varying Circuit Analysis The purpose of this problem set

More information

Cambridge International Examinations Cambridge International Advanced Level

Cambridge International Examinations Cambridge International Advanced Level Cambridge International Examinations Cambridge International Advanced Level *8896709223* PHYSICS 9702/43 Paper 4 A2 Structured Questions October/November 2014 2 hours Candidates answer on the Question

More information

EE 521: Instrumentation and Measurements

EE 521: Instrumentation and Measurements Aly El-Osery Electrical Engineering Department, New Mexico Tech Socorro, New Mexico, USA September 23, 2009 1 / 18 1 Sampling 2 Quantization 3 Digital-to-Analog Converter 4 Analog-to-Digital Converter

More information

Lecture 7 Random Signal Analysis

Lecture 7 Random Signal Analysis Lecture 7 Random Signal Analysis 7. Introduction to Probability 7. Amplitude Distributions 7.3 Uniform, Gaussian, and Other Distributions 7.4 Power and Power Density Spectra 7.5 Properties of the Power

More information

Roundoff Noise in Digital Feedback Control Systems

Roundoff Noise in Digital Feedback Control Systems Chapter 7 Roundoff Noise in Digital Feedback Control Systems Digital control systems are generally feedback systems. Within their feedback loops are parts that are analog and parts that are digital. At

More information

DISTRIBUTION LIST. Others original copies Name amount. Lens Research & Development 1x Uittenhout, J.M.M. 1x DOCUMENT CHANGE RECORD

DISTRIBUTION LIST. Others original copies Name amount. Lens Research & Development 1x Uittenhout, J.M.M. 1x DOCUMENT CHANGE RECORD 2 of 15 DISTRIBUTION LIST Others original copies Name amount Lens Research & Development 1x Uittenhout, J.M.M. 1x DOCUMENT CHANGE RECORD Issue Date Total pages Pages affected Brief description of change

More information

Department of Mechanical and Aerospace Engineering. MAE334 - Introduction to Instrumentation and Computers. Final Examination.

Department of Mechanical and Aerospace Engineering. MAE334 - Introduction to Instrumentation and Computers. Final Examination. Name: Number: Department of Mechanical and Aerospace Engineering MAE334 - Introduction to Instrumentation and Computers Final Examination December 12, 2003 Closed Book and Notes 1. Be sure to fill in your

More information

When fluid incompressible...flow velocity, volumetric, and mass flow are proportional.

When fluid incompressible...flow velocity, volumetric, and mass flow are proportional. 11-1 Flow 11-1 Measures of Fluid Flow Flow velocity. Speed of material flowing past a plane. Volumetric flow. Volume of material passing a plane per unit time. Mass flow. Mass of material passing a plane

More information

AUTOMOTIVE CURRENT TRANSDUCER OPEN LOOP TECHNOLOGY HAH1BVW S/08

AUTOMOTIVE CURRENT TRANSDUCER OPEN LOOP TECHNOLOGY HAH1BVW S/08 AUTOMOTIVE CURRENT TRANSDUCER OPEN LOOP TECHNOLOGY HAH1BVW S/08 Introduction The HAH1BVW family is for the electronic measurement of DC, AC or pulsed currents in high power and low voltage automotive applications

More information

In addition to resistors that we have considered to date, there are two other basic electronic components that can be found everywhere: the capacitor

In addition to resistors that we have considered to date, there are two other basic electronic components that can be found everywhere: the capacitor In addition to resistors that we have considered to date, there are two other basic electronic components that can be found everywhere: the capacitor and the inductor. We will consider these two types

More information

Finite Word Length Effects and Quantisation Noise. Professors A G Constantinides & L R Arnaut

Finite Word Length Effects and Quantisation Noise. Professors A G Constantinides & L R Arnaut Finite Word Length Effects and Quantisation Noise 1 Finite Word Length Effects Finite register lengths and A/D converters cause errors at different levels: (i) input: Input quantisation (ii) system: Coefficient

More information

ECE Homework Set 2

ECE Homework Set 2 1 Solve these problems after Lecture #4: Homework Set 2 1. Two dice are tossed; let X be the sum of the numbers appearing. a. Graph the CDF, FX(x), and the pdf, fx(x). b. Use the CDF to find: Pr(7 X 9).

More information

200Pa 10million. Overview. Acoustics of Speech and Hearing. Loudness. Terms to describe sound. Matching Pressure to Loudness. Loudness vs.

200Pa 10million. Overview. Acoustics of Speech and Hearing. Loudness. Terms to describe sound. Matching Pressure to Loudness. Loudness vs. Overview Acoustics of Speech and Hearing Lecture 1-2 How is sound pressure and loudness related? How can we measure the size (quantity) of a sound? The scale Logarithmic scales in general Decibel scales

More information

SWITCHED CAPACITOR AMPLIFIERS

SWITCHED CAPACITOR AMPLIFIERS SWITCHED CAPACITOR AMPLIFIERS AO 0V 4. AO 0V 4.2 i Q AO 0V 4.3 Q AO 0V 4.4 Q i AO 0V 4.5 AO 0V 4.6 i Q AO 0V 4.7 Q AO 0V 4.8 i Q AO 0V 4.9 Simple amplifier First approach: A 0 = infinite. C : V C = V s

More information

2. SPECTRAL ANALYSIS APPLIED TO STOCHASTIC PROCESSES

2. SPECTRAL ANALYSIS APPLIED TO STOCHASTIC PROCESSES 2. SPECTRAL ANALYSIS APPLIED TO STOCHASTIC PROCESSES 2.0 THEOREM OF WIENER- KHINTCHINE An important technique in the study of deterministic signals consists in using harmonic functions to gain the spectral

More information

Random Signal Transformations and Quantization

Random Signal Transformations and Quantization York University Department of Electrical Engineering and Computer Science EECS 4214 Lab #3 Random Signal Transformations and Quantization 1 Purpose In this lab, you will be introduced to transformations

More information

How do computers represent numbers?

How do computers represent numbers? How do computers represent numbers? Tips & Tricks Week 1 Topics in Scientific Computing QMUL Semester A 2017/18 1/10 What does digital mean? The term DIGITAL refers to any device that operates on discrete

More information

Department of Mechanical and Aerospace Engineering MAE334 - Introduction to Instrumentation and Computers. Midterm Examination.

Department of Mechanical and Aerospace Engineering MAE334 - Introduction to Instrumentation and Computers. Midterm Examination. Department of Mechanical and Aerospace Engineering MAE334 - Introduction to Instrumentation and Computers Midterm Examination October 19, 2005 o Closed Book and Notes o Fill in your name on your scoring

More information

6. The default plot created by Excel meets all of the requirements for a formal report plot in ME 360.

6. The default plot created by Excel meets all of the requirements for a formal report plot in ME 360. ME 360 Fall 2008 Semester Test #1 9/24/08 Closed book, closed notes portion of test. When you turn in this part of the test you will get the second part which allows a page of handwritten formulas. There

More information

Vibration Control. ! Reducing Vibrations within the Building (EEU)! Reducing Vibrations at the Instrument (HA) Internal Isolation External Isolation

Vibration Control. ! Reducing Vibrations within the Building (EEU)! Reducing Vibrations at the Instrument (HA) Internal Isolation External Isolation Vibration Control, Sc.D., PE Acentech Incorporated, PE Colin Gordon & Associates Vibration Control - Outline! How Vibrations are Characterized (EEU)! The Role of the Advanced Technology Bldg. (EEU)! Vibration

More information

Smartec Pressure Sensor (bridge output)

Smartec Pressure Sensor (bridge output) DATASHEET Pressure sensor family 1/5 Smartec Pressure Sensor (bridge output) Features * Commercial grade * DIP version for high volume production * Gauge or absolute pressure * Resistive bridge technology

More information

3 THE P HYSICS PHYSICS OF SOUND

3 THE P HYSICS PHYSICS OF SOUND Chapter 3 THE PHYSICS OF SOUND Contents What is sound? What is sound wave?» Wave motion» Source & Medium How do we analyze sound?» Classifications» Fourier Analysis How do we measure sound?» Amplitude,

More information

STATISTICAL analog-to-digital converters (ADCs) refer

STATISTICAL analog-to-digital converters (ADCs) refer 538 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II: EXPRESS BRIEFS, VOL. 62, NO. 6, JUNE 2015 Statistical ADC Enhanced by Pipelining and Subranging Sen Tao, Student Member, IEEE, Emmanuel Abbe, Member, IEEE,

More information

CIRCUITS AND ELECTRONICS. Dependent Sources and Amplifiers

CIRCUITS AND ELECTRONICS. Dependent Sources and Amplifiers 6.00 CIRCUITS AN ELECTRONICS ependent Sources and Amplifiers Review Nonlinear circuits can use the node method Small signal trick resulted in linear response Today ependent sources Amplifiers Reading:

More information

ETSF15 Analog/Digital. Stefan Höst

ETSF15 Analog/Digital. Stefan Höst ETSF15 Analog/Digital Stefan Höst Physical layer Analog vs digital Sampling, quantisation, reconstruction Modulation Represent digital data in a continuous world Disturbances Noise and distortion Synchronization

More information

ECE 650. Some MATLAB Help (addendum to Lecture 1) D. Van Alphen (Thanks to Prof. Katz for the Histogram PDF Notes!)

ECE 650. Some MATLAB Help (addendum to Lecture 1) D. Van Alphen (Thanks to Prof. Katz for the Histogram PDF Notes!) ECE 65 Some MATLAB Help (addendum to Lecture 1) D. Van Alphen (Thanks to Prof. Katz for the Histogram PDF Notes!) Obtaining Probabilities for Gaussian RV s - An Example Let X be N(1, s 2 = 4). Find Pr(X

More information

D/A Converters. D/A Examples

D/A Converters. D/A Examples D/A architecture examples Unit element Binary weighted Static performance Component matching Architectures Unit element Binary weighted Segmented Dynamic element matching Dynamic performance Glitches Reconstruction

More information

Cambridge International Examinations Cambridge International Advanced Subsidiary and Advanced Level

Cambridge International Examinations Cambridge International Advanced Subsidiary and Advanced Level Cambridge International Examinations Cambridge International Advanced Subsidiary and Advanced Level *9832786353* PHYSICS 9702/43 Paper 4 A Level Structured Questions October/November 2018 2 hours Candidates

More information

OPAMPs I: The Ideal Case

OPAMPs I: The Ideal Case I: The Ideal Case The basic composition of an operational amplifier (OPAMP) includes a high gain differential amplifier, followed by a second high gain amplifier, followed by a unity gain, low impedance,

More information

Chapters 11 and 12. Sound and Standing Waves

Chapters 11 and 12. Sound and Standing Waves Chapters 11 and 12 Sound and Standing Waves The Nature of Sound Waves LONGITUDINAL SOUND WAVES Speaker making sound waves in a tube The Nature of Sound Waves The distance between adjacent condensations

More information

COMP Signals and Systems. Dr Chris Bleakley. UCD School of Computer Science and Informatics.

COMP Signals and Systems. Dr Chris Bleakley. UCD School of Computer Science and Informatics. COMP 40420 2. Signals and Systems Dr Chris Bleakley UCD School of Computer Science and Informatics. Scoil na Ríomheolaíochta agus an Faisnéisíochta UCD. Introduction 1. Signals 2. Systems 3. System response

More information

Research Article Semi-Active Pulse-Switching Vibration Suppression Using Sliding Time Window

Research Article Semi-Active Pulse-Switching Vibration Suppression Using Sliding Time Window Smart Materials Research Volume 213, Article ID 865981, 7 pages http://dx.doi.org/1.1155/213/865981 Research Article Semi-Active Pulse-Switching Vibration Suppression Using Sliding Time Window S. Mohammadi,

More information

Sound Waves. Sound waves are longitudinal waves traveling through a medium Sound waves are produced from vibrating objects.

Sound Waves. Sound waves are longitudinal waves traveling through a medium Sound waves are produced from vibrating objects. Sound Waves Sound waves are longitudinal waves traveling through a medium Sound waves are produced from vibrating objects Introduction Sound Waves: Molecular View When sound travels through a medium, there

More information

BIOSIGNAL PROCESSING. Hee Chan Kim, Ph.D. Department of Biomedical Engineering College of Medicine Seoul National University

BIOSIGNAL PROCESSING. Hee Chan Kim, Ph.D. Department of Biomedical Engineering College of Medicine Seoul National University BIOSIGNAL PROCESSING Hee Chan Kim, Ph.D. Department of Biomedical Engineering College of Medicine Seoul National University INTRODUCTION Biosignals (biological signals) : space, time, or space-time records

More information

Producing a Sound Wave. Chapter 14. Using a Tuning Fork to Produce a Sound Wave. Using a Tuning Fork, cont.

Producing a Sound Wave. Chapter 14. Using a Tuning Fork to Produce a Sound Wave. Using a Tuning Fork, cont. Producing a Sound Wave Chapter 14 Sound Sound waves are longitudinal waves traveling through a medium A tuning fork can be used as an example of producing a sound wave Using a Tuning Fork to Produce a

More information

8.1 Circuit Parameters

8.1 Circuit Parameters 8.1 Circuit Parameters definition of decibels using decibels transfer functions impulse response rise time analysis Gaussian amplifier transfer function RC circuit transfer function analog-to-digital conversion

More information

PRODUCT DATA. Sound Intensity Calibrator Type 3541-A. Uses and Features

PRODUCT DATA. Sound Intensity Calibrator Type 3541-A. Uses and Features PRODUCT DATA Sound Intensity Calibrator Type 3541-A Type 3541-A enables calibration of sound intensity measuring instruments by using a coupler designed especially for sound intensity calibrations. Intensity-probe

More information

Sound, Decibels, Doppler Effect

Sound, Decibels, Doppler Effect Phys101 Lectures 31, 32 Sound, Decibels, Doppler Effect Key points: Intensity of Sound: Decibels Doppler Effect Ref: 12-1,2,7. Page 1 Characteristics of Sound Sound can trael through any kind of matter,

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

Principles and Design of IoT systems Level 11 course [20 credits] Week 3. Professor D K Arvind dka AT inf.ed.ac.uk

Principles and Design of IoT systems Level 11 course [20 credits] Week 3. Professor D K Arvind dka AT inf.ed.ac.uk Principles and Design of IoT systems Level 11 course [20 credits] Week 3 Professor D K Arvind dka AT inf.ed.ac.uk References J.J. Carr, Sensors and Circuits Prentice Hall. Altman DG, Bland JM. Measurement

More information

Module 24: Outline. Expt. 8: Part 2:Undriven RLC Circuits

Module 24: Outline. Expt. 8: Part 2:Undriven RLC Circuits Module 24: Undriven RLC Circuits 1 Module 24: Outline Undriven RLC Circuits Expt. 8: Part 2:Undriven RLC Circuits 2 Circuits that Oscillate (LRC) 3 Mass on a Spring: Simple Harmonic Motion (Demonstration)

More information

PRACTICE NO. PD-ED-1259 PREFERRED May 1996 RELIABILITY PAGE 1 OF 6 PRACTICES ACOUSTIC NOISE REQUIREMENT

PRACTICE NO. PD-ED-1259 PREFERRED May 1996 RELIABILITY PAGE 1 OF 6 PRACTICES ACOUSTIC NOISE REQUIREMENT PREFERRED May 1996 RELIABILITY PAGE 1 OF 6 PRACTICES Practice: Impose an acoustic noise requirement on spacecraft hardware design to ensure the structural integrity of the vehicle and its components in

More information

(Refer Slide Time: 02:27)

(Refer Slide Time: 02:27) MEMS & Microsystems Prof. Santiram Kal Department of Electronics and Electrical Communication Engineering Indian Institute of Technology, Kharagpur Lecture No. # 02 Introduction to Microsensors So, in

More information

Audio /Video Signal Processing. Lecture 2, Quantization, SNR Gerald Schuller, TU Ilmenau

Audio /Video Signal Processing. Lecture 2, Quantization, SNR Gerald Schuller, TU Ilmenau Audio /Video Signal Processing Lecture 2, Quantization, SNR Gerald Schuller, TU Ilmenau Quantization Signal to Noise Ratio (SNR). Assume we have a A/D converter with a quantizer with a certain number of

More information

本教材僅供教學使用, 勿做其他用途, 以維護智慧財產權

本教材僅供教學使用, 勿做其他用途, 以維護智慧財產權 本教材內容主要取自課本 Physics for Scientists and Engineers with Modern Physics 7th Edition. Jewett & Serway. 注意 本教材僅供教學使用, 勿做其他用途, 以維護智慧財產權 教材網址 : https://sites.google.com/site/ndhugp1 1 Chapter 17 Sound Waves Human

More information

B1L-A.4 "Split-ADC" Digital Background Correction of Open-Loop Residue Amplifier Nonlinearity Errors in a 14b Pipeline ADC

B1L-A.4 Split-ADC Digital Background Correction of Open-Loop Residue Amplifier Nonlinearity Errors in a 14b Pipeline ADC B1L-A.4 "Split-ADC" Digital Background Correction of Open-Loop Residue Amplifier Nonlinearity Errors in a 14b Pipeline ADC J.McNeill, S. Goluguri, A. Nair Worcester Polytechnic Institute (WPI), Worcester,

More information

EE 505 Lecture 7. Spectral Performance of Data Converters - Time Quantization - Amplitude Quantization Clock Jitter Statistical Circuit Modeling

EE 505 Lecture 7. Spectral Performance of Data Converters - Time Quantization - Amplitude Quantization Clock Jitter Statistical Circuit Modeling EE 505 Lecture 7 Spectral Performance of Data Converters - Time Quantization - Amplitude Quantization Clock Jitter Statistical Circuit Modeling . Review from last lecture. MatLab comparison: 512 Samples

More information

BMXART0814 analog input module M340-8 inputs - temperature

BMXART0814 analog input module M340-8 inputs - temperature Product data sheet Characteristics BMXART0814 analog input module M340-8 inputs - temperature Main Range of product Product or component type Electrical connection Input output isolation Input level Analogue

More information

EE4512 Analog and Digital Communications Chapter 4. Chapter 4 Receiver Design

EE4512 Analog and Digital Communications Chapter 4. Chapter 4 Receiver Design Chapter 4 Receiver Design Chapter 4 Receiver Design Probability of Bit Error Pages 124-149 149 Probability of Bit Error The low pass filtered and sampled PAM signal results in an expression for the probability

More information

BMXART0814 analog input module M340-8 inputs - temperature

BMXART0814 analog input module M340-8 inputs - temperature Product data sheet Characteristics BMXART0814 analog input module M340-8 inputs - temperature Product availability : Stock - Normally stocked in distribution facility Price* : 1485.00 USD Main Range of

More information

National Exams May 2016

National Exams May 2016 National Exams May 2016 04-Agric-A5, Principles of Instrumentation 3 hours duration NOTES: 1. If doubt exists as to the interpretation of any question, the candidate is urged to submit with the answer

More information

A Nonlinear Dynamic S/H-ADC Device Model Based on a Modified Volterra Series: Identification Procedure and Commercial CAD Tool Implementation

A Nonlinear Dynamic S/H-ADC Device Model Based on a Modified Volterra Series: Identification Procedure and Commercial CAD Tool Implementation IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 52, NO. 4, AUGUST 2003 1129 A Nonlinear Dynamic S/H-ADC Device Model Based on a Modified Volterra Series: Identification Procedure and Commercial

More information

Fundamentals of Acoustics

Fundamentals of Acoustics Fundamentals of Acoustics Introductory Course on Multiphysics Modelling TOMASZ G. ZIELIŃSKI bluebox.ippt.pan.pl/ tzielins/ Institute of Fundamental Technological Research of the Polish Academy of Sciences

More information

EE247 Lecture 16. Serial Charge Redistribution DAC

EE247 Lecture 16. Serial Charge Redistribution DAC EE47 Lecture 16 D/A Converters D/A examples Serial charge redistribution DAC Practical aspects of current-switch DACs Segmented current-switch DACs DAC self calibration techniques Current copiers Dynamic

More information

Application Note AN37. Noise Histogram Analysis. by John Lis

Application Note AN37. Noise Histogram Analysis. by John Lis AN37 Application Note Noise Histogram Analysis by John Lis NOISELESS, IDEAL CONVERTER OFFSET ERROR σ RMS NOISE HISTOGRAM OF SAMPLES PROBABILITY DISTRIBUTION FUNCTION X PEAK-TO-PEAK NOISE Crystal Semiconductor

More information

The information loss in quantization

The information loss in quantization The information loss in quantization The rough meaning of quantization in the frame of coding is representing numerical quantities with a finite set of symbols. The mapping between numbers, which are normally

More information

Inverse Source Identification based on Acoustic Particle Velocity Measurements. Abstract. 1. Introduction

Inverse Source Identification based on Acoustic Particle Velocity Measurements. Abstract. 1. Introduction The 2002 International Congress and Exposition on Noise Control Engineering Dearborn, MI, USA. August 19-21, 2002 Inverse Source Identification based on Acoustic Particle Velocity Measurements R. Visser

More information

Patrick F. Dunn 107 Hessert Laboratory Department of Aerospace and Mechanical Engineering University of Notre Dame Notre Dame, IN 46556

Patrick F. Dunn 107 Hessert Laboratory Department of Aerospace and Mechanical Engineering University of Notre Dame Notre Dame, IN 46556 Learning Objectives to Accompany MEASUREMENT AND DATA ANALYSIS FOR ENGINEERING AND SCIENCE Second Edition, Taylor and Francis/CRC Press, c 2010 ISBN: 9781439825686 Patrick F. Dunn pdunn@nd.edu 107 Hessert

More information

EE 435. Lecture 26. Data Converters. Data Converter Characterization

EE 435. Lecture 26. Data Converters. Data Converter Characterization EE 435 Lecture 26 Data Converters Data Converter Characterization . Review from last lecture. Data Converter Architectures n DAC R-2R (4-bits) R R R R V OUT 2R 2R 2R 2R R d 3 d 2 d 1 d 0 V REF By superposition:

More information

Cambridge International Examinations Cambridge International Advanced Level

Cambridge International Examinations Cambridge International Advanced Level Cambridge International Examinations Cambridge International Advanced Level *1906711534* PHYSICS 9702/41 Paper 4 A2 Structured Questions May/June 2014 2 hours Candidates answer on the Question Paper. No

More information

Chap 12. Sound. Speed of sound is different in different material. Depends on the elasticity and density of the medium. T v sound = v string =

Chap 12. Sound. Speed of sound is different in different material. Depends on the elasticity and density of the medium. T v sound = v string = Chap 12. Sound Sec. 12.1 - Characteristics of Sound Sound is produced due to source(vibrating object and travels in a medium (londitudinal sound waves and can be heard by a ear (vibrations. Sound waves

More information

Using a Mercury itc with thermocouples

Using a Mercury itc with thermocouples Technical Note Mercury Support Using a Mercury itc with thermocouples Abstract and content description This technical note describes how to make accurate and reliable temperature measurements using an

More information

PY3107 Experimental Physics II

PY3107 Experimental Physics II PY3107 Experimental Physics II ock-in Amplifiers MP aughan and F Peters Related Experiments ock-in ab ignal processing and phase sensitive detection using a lock-in amplifier The problem The signal to

More information

EE 230 Lecture 20. Nonlinear Op Amp Applications. The Comparator Nonlinear Analysis Methods

EE 230 Lecture 20. Nonlinear Op Amp Applications. The Comparator Nonlinear Analysis Methods EE 230 Lecture 20 Nonlinear Op Amp Applications The Comparator Nonlinear Analysis Methods Quiz 14 What is the major purpose of compensation when designing an operatinal amplifier? And the number is? 1

More information

unit 4 acoustics & ultrasonics

unit 4 acoustics & ultrasonics unit 4 acoustics & ultrasonics acoustics ACOUSTICS Deals with the production, propagation and detection of sound waves Classification of sound: (i) Infrasonic 20 Hz (Inaudible) (ii) Audible 20 to 20,000Hz

More information

Experiment A12 Monte Carlo Night! Procedure

Experiment A12 Monte Carlo Night! Procedure Experiment A12 Monte Carlo Night! Procedure Deliverables: checked lab notebook, printed plots with captions Overview In the real world, you will never measure the exact same number every single time. Rather,

More information

Prelaboratory. EE223 Laboratory #1 Digital to Analog Converter

Prelaboratory. EE223 Laboratory #1 Digital to Analog Converter EE223 Laboratory #1 Digital to Analog Converter Objectives: 1) Learn how superposition and Thevenin conversions are used to analyze practical circuits 2) Become familiar with ground bus and power bus notation

More information

SPERIMENTAZIONE DI STRUTTURE AEROSPAZIALI TESTING OF AEROSPACE STRUCTURES

SPERIMENTAZIONE DI STRUTTURE AEROSPAZIALI TESTING OF AEROSPACE STRUCTURES SPERIMENTAZIONE DI STRUTTURE AEROSPAZIALI TESTING OF AEROSPACE STRUCTURES Giuliano Coppotelli c aa 2014/2015 Versione aggiornata al 24 Settembre 2014 Trascrizione e figure a cura di Roberta Cumbo Indice

More information

ME EXAM #1 Tuesday, October 7, :30 7:30 pm PHYS 112 and 114

ME EXAM #1 Tuesday, October 7, :30 7:30 pm PHYS 112 and 114 ME 36500 EXAM # Tuesday, October 7, 04 6:30 7:30 pm PHYS and 4 Division: Chiu(0:30) / Shelton(:30) / Bae(:30) (circle one) HW ID: Name: Solution Instructions () This is a closed book examination, but you

More information

Measurement and Instrumentation. Sampling, Digital Devices, and Data Acquisition

Measurement and Instrumentation. Sampling, Digital Devices, and Data Acquisition 2141-375 Measurement and Instrumentation Sampling, Digital Devices, and Data Acquisition Basic Data Acquisition System Analog Form Analog Form Digital Form Display Physical varialble Sensor Signal conditioning

More information

Digital Signal 2 N Most Significant Bit (MSB) Least. Bit (LSB)

Digital Signal 2 N Most Significant Bit (MSB) Least. Bit (LSB) 1 Digital Signal Binary or two stages: 0 (Low voltage 0-3 V) 1 (High voltage 4-5 V) Binary digit is called bit. Group of bits is called word. 8-bit group is called byte. For N-bit base-2 number = 2 N levels

More information

(A) (B) (D) (C) 1.5. Amplitude (volts) 1.5. Amplitude (volts) Time (seconds) Time (seconds)

(A) (B) (D) (C) 1.5. Amplitude (volts) 1.5. Amplitude (volts) Time (seconds) Time (seconds) Reminder: Lab #1 : Limitations of A/D conversion Lab #2 : Thermocouple, static and dynamic calibration Lab #3 : Conversion of work into heat Lab #4 : Pressure transducer, static and dynamic calibration

More information

Design Engineering MEng EXAMINATIONS 2016

Design Engineering MEng EXAMINATIONS 2016 IMPERIAL COLLEGE LONDON Design Engineering MEng EXAMINATIONS 2016 For Internal Students of the Imperial College of Science, Technology and Medicine This paper is also taken for the relevant examination

More information

Probability & Statistics: Introduction. Robert Leishman Mark Colton ME 363 Spring 2011

Probability & Statistics: Introduction. Robert Leishman Mark Colton ME 363 Spring 2011 Probability & Statistics: Introduction Robert Leishman Mark Colton ME 363 Spring 2011 Why do we care? Why do we care about probability and statistics in an instrumentation class? Example Measure the strength

More information

Differential Pressure Sensor

Differential Pressure Sensor Differential Pressure Sensor MDP200 Series Features Pressure range up to ±500Pa with high accuracy of ±3.0% m.v. Pressure based on thermal micro-flow measurement Outstanding hysteresis and repeatability

More information

Digital Signal Processing

Digital Signal Processing COMP ENG 4TL4: Digital Signal Processing Notes for Lecture #3 Wednesday, September 10, 2003 1.4 Quantization Digital systems can only represent sample amplitudes with a finite set of prescribed values,

More information

Department of Mechanical and Aerospace Engineering. MAE334 - Introduction to Instrumentation and Computers. Final Examination.

Department of Mechanical and Aerospace Engineering. MAE334 - Introduction to Instrumentation and Computers. Final Examination. Name: Number: Department of Mechanical and Aerospace Engineering MAE334 - Introduction to Instrumentation and Computers Final Examination December 17, 2001 Closed Book and Notes 1. Be sure to fill in your

More information

Quiz on Chapters 13-15

Quiz on Chapters 13-15 Quiz on Chapters 13-15 Final Exam, Thursday May 3, 8:00 10:00PM ANH 1281 (Anthony Hall). Seat assignments TBD RCPD students: Thursday May 3, 5:00 9:00PM, BPS 3239. Email will be sent. Alternate Final Exam,

More information

Community College of Allegheny County Unit 9 Page #1. Thermocouples R1 = 1K

Community College of Allegheny County Unit 9 Page #1. Thermocouples R1 = 1K 10K Community College of Allegheny County Unit 9 Page #1 Thermocouples +12V Thermocouple Junction Vin Copper Wire Constantan Wire + - 3 2 741 7 4 1 5-12V 6 V Vout R1 = 1K Rf = 100K Engineers are not expected

More information

Answer: 101 db. db = 10 * log( 1.16 x 10-2 W/m 2 / 1 x W/m 2 ) = 101 db

Answer: 101 db. db = 10 * log( 1.16 x 10-2 W/m 2 / 1 x W/m 2 ) = 101 db 54. A machine produces a sound with an intensity of 2.9 x 10-3 W/m 2. What would be the decibel rating if four of these machines occupy the same room? Answer: 101 db Four of these machines would be four

More information

Nonlinear Losses in Electro-acoustical Transducers Wolfgang Klippel, Daniel Knobloch

Nonlinear Losses in Electro-acoustical Transducers Wolfgang Klippel, Daniel Knobloch The Association of Loudspeaker Manufacturers & Acoustics International (ALMA) Nonlinear Losses in Electro-acoustical Transducers Wolfgang Klippel, Daniel Knobloch Institute of Acoustics and Speech Communication

More information

NUMERICAL EVALUATION OF DISPLACEMENT AND ACCELERATION FOR A MASS, SPRING, DASHPOT SYSTEM

NUMERICAL EVALUATION OF DISPLACEMENT AND ACCELERATION FOR A MASS, SPRING, DASHPOT SYSTEM American Society for Engineering Education Salt Lake City, Utah June 24 NUMERICAL EVALUATION OF DISPLACEMENT AND ACCELERATION FOR A MASS, SPRING, DASHPOT SYSTEM ACCELEROMETER MASS SPRING FIXED SUPPORT

More information

Lecture 5 Notes: 07 / 05. Energy and intensity of sound waves

Lecture 5 Notes: 07 / 05. Energy and intensity of sound waves Lecture 5 Notes: 07 / 05 Energy and intensity of sound waves Sound waves carry energy, just like waves on a string do. This energy comes in several types: potential energy due to the compression of the

More information