Effect of sampling on frequency domain analysis

Similar documents
Frequency Response. Lecture #12 Chapter 10. BME 310 Biomedical Computing - J.Schesser

CHAPTER 9. Compressible Flow. Btu ft-lb lbm ft-lb c p = = ft-lb slug- R. slug- R. 1 k. p p. p v p v. = ρ ρ

Chapter 12 Introduction To The Laplace Transform

Charging of capacitor through inductor and resistor

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

LECTURE 5 Guassian Wave Packet

Topic 5: Discrete-Time Fourier Transform (DTFT)

More on FT. Lecture 10 4CT.5 3CT.3-5,7,8. BME 333 Biomedical Signals and Systems - J.Schesser

H is equal to the surface current J S

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b

Another Explanation of the Cosmological Redshift. April 6, 2010.

CSE 245: Computer Aided Circuit Simulation and Verification

Lecture 26: Quadrature (90º) Hybrid.

Final Exam : Solutions

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form:

Chapter 2 Linear Waveshaping: High-pass Circuits

Einstein Equations for Tetrad Fields

Control System Engineering (EE301T) Assignment: 2

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues

Transfer function and the Laplace transformation

Lecture 20. Transmission Lines: The Basics

Midterm exam 2, April 7, 2009 (solutions)

Elementary Differential Equations and Boundary Value Problems

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas

Centre for Financial Risk

Consider a system of 2 simultaneous first order linear equations

Search sequence databases 3 10/25/2016

XV Exponential and Logarithmic Functions

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns

ELEC 372 LECTURE NOTES, WEEK 11 Dr. Amir G. Aghdam Concordia University

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors

a dt a dt a dt dt If 1, then the poles in the transfer function are complex conjugates. Let s look at f t H t f s / s. So, for a 2 nd order system:

( ) = ( ) ( ) ( ) ( ) τ τ. This is a more complete version of the solutions for assignment 2 courtesy of the course TA

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Double Slits in Space and Time

2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35

Chapter 3: Fourier Representation of Signals and LTI Systems. Chih-Wei Liu

Pupil / Class Record We can assume a word has been learned when it has been either tested or used correctly at least three times.

Institute of Actuaries of India

Rocky Mountain Mathematics Consortium Summer Conference University of Wyoming 7-18 July 2003

Lecture 2: Current in RC circuit D.K.Pandey

PHASE 2 C 2.20 INTERIM GRADING PLAN EDGEWATER HEIGHTS WAY (PHASE 2) EDGEWATER HEIGHTS CITY OF MUSKEGO, WI SEE SHEET C 2.21 LEGEND O.L.

Azimuthal angular correlations between heavy flavour decay electrons and charged hadrons in pp collisions at s = 2.76 TeV in ALICE

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

READING ASSIGNMENTS. Signal Processing First. Problem Solving Skills LECTURE OBJECTIVES. x(t) = cos(αt 2 ) Fourier Series ANALYSIS.

Logistic equation of Human population growth (generalization to the case of reactive environment).

The graph of y = x (or y = ) consists of two branches, As x 0, y + ; as x 0, y +. x = 0 is the

Microscopic Flow Characteristics Time Headway - Distribution

7.4 QUANTUM MECHANICAL TREATMENT OF FLUCTUATIONS *

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.

u r du = ur+1 r + 1 du = ln u + C u sin u du = cos u + C cos u du = sin u + C sec u tan u du = sec u + C e u du = e u + C

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

EXERCISE - 01 CHECK YOUR GRASP

EE 350 Signals and Systems Spring 2005 Sample Exam #2 - Solutions

Image Filtering: Noise Removal, Sharpening, Deblurring. Yao Wang Polytechnic University, Brooklyn, NY11201

u 3 = u 3 (x 1, x 2, x 3 )

. This is made to keep the kinetic energy at outlet a minimum.

Unit 6: Solving Exponential Equations and More

REPETITION before the exam PART 2, Transform Methods. Laplace transforms: τ dτ. L1. Derive the formulas : L2. Find the Laplace transform F(s) if.

Quasi-Classical States of the Simple Harmonic Oscillator

Alpha and beta decay equation practice

Ma/CS 6a Class 15: Flows and Bipartite Graphs

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches.

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse.

Hydrogen Atom and One Electron Ions

Physics 160 Lecture 3. R. Johnson April 6, 2015

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is

Background: We have discussed the PIB, HO, and the energy of the RR model. In this chapter, the H-atom, and atomic orbitals.

Cosmology. Outline. Relativity and Astrophysics Lecture 17 Terry Herter. Redshift (again) The Expanding Universe Applying Hubble s Law

Classical Magnetic Dipole

Lecture 27: The 180º Hybrid.

Self-interaction mass formula that relates all leptons and quarks to the electron

1 Minimum Cut Problem

Chap 2: Reliability and Availability Models

2. The Laplace Transform

Lecture 14. Time Harmonic Fields

Homework #3. 1 x. dx. It therefore follows that a sum of the

Section 11.6: Directional Derivatives and the Gradient Vector

Addition of angular momentum

Chemistry 988 Part 1

Modern Physics. Unit 5: Schrödinger s Equation and the Hydrogen Atom Lecture 5.6: Energy Eigenvalues of Schrödinger s Equation for the Hydrogen Atom

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation.

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016

Linear-Phase FIR Transfer Functions. Functions. Functions. Functions. Functions. Functions. Let

1 Isoparametric Concept

Even/Odd Mode Analysis of the Wilkinson Divider

Wave Equation (2 Week)

Fourier Series: main points

nd the particular orthogonal trajectory from the family of orthogonal trajectories passing through point (0; 1).

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review

The transition:transversion rate ratio vs. the T-ratio.

Multiple Short Term Infusion Homework # 5 PHA 5127

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA

Where k is either given or determined from the data and c is an arbitrary constant.

Frequency Response. Response of an LTI System to Eigenfunction

Books. to Collect! Go to and continue the story.

Transcription:

LIGO-T666--R Ec sampling n rquncy dmain analysis David P. Nrwd W rviw h wll-knwn cs digial sampling n h rquncy dmain analysis an analg signal, wih mphasis n h cs upn ur masurmns. This discussin llws h nain Gaskill. Th signal b sampld is assumd b a harmnically varying signal, dampd in a way ha can b characrizd by a im cnsan,. Tha is, w assum h riginal analg signal is h rm: ( ( < > (N ha h rquncy includs any shi du h assumd damping. This signal is sampld N 4 ims a a im inrval.3 s, rsuling in a al sampling im N 4 s. s w will s, i is signiican ha his is much largr han h damping im, 35-4 s. Th sampld daa can b wrin rmally as: ( ( ( P ( whr ( is rm Eq ( and ( is a sampling uncin, ha w wri as: N ( ( n n ( δ (3 Tha is, h sampling uncin is a rain N Dirac dla uncins, sparad by h sampling im,. Using h s-calld rcangl uncin, dind as:, > rc (.5, (4, < w can rwri h sampling uncin as: n ( δ ( n N rc N N rc N (whr w v dind h uncin, again llwing Gaskill. This will simpliy sm h llwing discussin [I hp ]. Th rquncy dmain analysis hn J. D. Gaskill, Linar ysms, urir Transrms and Opics, Wily, Nw Yrk, 978 (5

LIGO-T666--R prcds by prrming a urir ransrm upn h sampld uncin Eq. (. rmally, his is givn by: ( ( ( P ( N rc N whr dns h cnvluin prain, and h scrip dns h urir ransrm prains. W hav usd h cnvluin hrm, which hlds ha h urir ransrm a prduc uncins is h cnvluin h ransrm ach uncin. This ransrm will giv a pak whs lcain and widh ar drmind, bviusly, by and, bu als by and N, as w shall discuss. I is usul brak h discussin in w pars, n rlad bradning and n rlad h lcain h pak. radning Only h xpnnial dcay and h rcangl uncin cnribu bradning (h ransrm h in and h rsul in Dirac dla uncins, as w discuss lar. W can hn din a bradning uncin by: ( ( N rc N (6 (7 I w d h ransrm xplicily, w hav: ( N i d i i + N (8 + Th ampliud ( is givn by: and h phas by: N N + ( N N + an Φ + ( (9 ( sin( N ( N ( + sin( N N (

LIGO-T666--R Ths xprssins sm rbidding, bu h ssnial pin can b sn i w cnsidr w limis: N >>, h cndiin ha h signal is sampld r a im lng cmpard h dcay im (i.., ha i dcays signiicanly during h acquisiin h daa, and N <<, h cndiin ha h signal is sampld r a im shr cmpard h dcay im (i.., ha i ds n dcay signiicanly during h acquisiin h daa. In h irs cas, h ampliud and phas ak h rm: ( + an Φ and in h lar cas: ( ( N sin ( an Φ an( N Tha hs ar h xpcd rms can b sn ms asily by rurning Eq. 8 and aking h limi ha (N g Eq. ( and g Eq. (. rm Eq. (, w s ha h widh h ransrmd signal is rdr /. Tha is, i h im during which daa is sampld is larg cmpard h damping im, hn h widh h ransrmd daa will b givn by h damping im. Cnvrsly, Eq. ( shws ha in h vn ha h al sampling im is shr cmpard h damping im, hn h widh is givn by h invrs h al sampling im, /N. In gnral, h widh h ransrmd daa will b rlcd by h uncin Eq. (9 and will b rdr (/ + /N. In ur masurmns, PEND 35 sc and PITCH 4 sc, whil N is 4 sc, and s w ar in h rgim dscribd by Eq. (. liasing Th hr w uncins in P ( (Eq. (6 drmin h lcain (in rquncy spac h uncin givn by Eq. (8. Tha is, Eq. (8 drmins h shap h scillar pak and h rmaindr: PEK ( ( ( drmins h lcain. Prrming h ransrms, his bcms: ( [ δ ( + δ ( ] ( ( ] PEK + nd prrming h cnvluin, w hav: ( ( (3 (4

LIGO-T666--R PEK ( n + δ n n + δ + Using his, h ransrm h sampld daa is givn by: ( ( ( P n + n PEK n + + Tha is, h ransrmd daa cnsiss rpad vrsins h bradnd uncin rm Eq. (8, cnrd a +n/ and ( -n/. Thr ar svral cnclusins b drawn. upps ha h rquncy saisis < </( (his is h Nyquis cndiin. Thn clarly saisis (n/( < +n/ <(n+/(. Tha is, h irs rm in Eq. (6 nsurs ha vry hr inrval (-/ /, /, / 3/, and s n includs a cpy h pak crrspnding. urhr, sinc (n-/( < n/ < n/, h scnd rm in Eq. (6 nsurs ha hr is a cpy in h rmaining inrvals (- 3/ /, -/, / /, and s n. Thrr, nly h inrval / nd b cnsidrd and hr will b prcisly n cpy h uncin ( in ha inrval (rm h irs rm in Eq. (6 wih n. Hwvr, supps ha h rquncy saisis / < < /. This is a cndiin undrsampling, in which h sampling ra is shr aihully rprduc h sampld signal. I is again h cas ha vry inrval n/ (n+// cnains h sam inrmain. u in his cas, h pak ha appars in h inrval / is rm h scnd rm in Eq. (6 and ccurs a h rquncy /. Rrring igur: n (5 n (6

LIGO-T666--R W s a pak a.5 Hz, which is h naural pndular min h pndulum and a pak a ~.5 Hz. Th.5 Hz pak is an alias h pich a 3.8 Hz : (3.33 Hz 3.8 Hz.5 Hz. ulipl Oscillains imulanusly Nw supps ha w hav mr han n scillain in h signal b sampld. Equain ( hn bcms: ( > < (7 Th sampling uncin is as givn in Eq. (5 and h sampld daa is sill givn rmally by Eq. (. Th urir ransrm h sampld daa is hn: [ ] [ ] PEK ROD P N N rc N N rc N N rc N N rc,, (8

LIGO-T666--R Tha is, h ransrmd sampl daa will cnsis paks ha shw h sam prpris as discussd abv r h singl pak. Each pak will b bradnd in h sam way as discussd br, ihr by h damping rprsnd by r by h sampling im, N s. ls, ach pak lcain will b drmind by h scillain rquncy and h sampling ra, / s, again as discussd prviusly. ny aliasing will ccur r ach pak indpndnly, dpnding upn h rquncy ha pak,, and h Nyquis sampling ra, /( s. N ha hr ar n paks crrspnding h sum r dirnc any h scillain rquncis, as migh b hugh a irs. u his is xpcd r a linar prcss lik a urir ransrm.