Introduction to DiscreteTime Signals and Systems
Damper, R. I. (1995) Introduction to DiscreteTime Signals and Systems, Chapman and Hall
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Description/Abstract
Index: 1. Introduction 1.1 Continuous and discretetime signals 1.2 Delta and step functions 1.3 Sampling 1.4 Aliasing and the sampling theorem 1.5 Antialiasing 1.6 Interpolation 1.7 Power and energy of DT signals 1.8 Linear timeinvariant systems 1.9 Fourier descriptions of CT signals 1.10 Interpolation 1.11 Summary 1.12 Exercises 2. Difference Equations 2.1 A movingaverage filter 2.2 An infinite impulse response filter 2.3 General form of difference equation 2.4 Discrete differentiation and integration 2.5 Solution of difference equations 2.6 Summary 2.7 Exercises 3. The ztransform 3.1 Definition 3.2 Taylor and Laurent series 3.3 Relation to Fourier transform 3.4 Illustrative examples 3.5 Fundamental properties 3.6 The system function H(z) 3.7 The zplane 3.8 Frequency response of a DT system 3.9 The inverse ztransform 3.10 Time response of a DT system 3.11 Summary 3.12 Exercises 4. Infinite impulse response (IIR) filters 4.1 The bilinear transform 4.2 Impulse invariance 4.3 Summary 4.4 Exercises 5. The discrete Fourier transform 5.1 Spectrum of a sampled signal 5.2 Definition of the DFT 5.3 Illustrative examples 5.4 The inverse DFT 5.5 Further properties of the DFT 5.6 Parseval's theorem and DT signals 5.7 Truncation and windowing 5.8 Interpolation by zeropadding 5.9 Ideal interpolation 5.10 Linear filtering using the DFT 5.11 Summary 5.12 Exercises 6. Finite impulse response (FIR) filters 6.1 Properties of FIR filters 6.2 Fourier series truncation 6.3 Windowing 6.4 Frequency sampling method 6.5 Computerbased design 6.6 Summary 6.7 Exercises 7. The fast Fourier transform 7.1 Direct evaluation of the DFT 7.2 Radix2 algorithms 7.3 Algorithms for compositeN 7.4 The DFT of real data 7.5 Summary 7.6 Exercises 8. Random signals 8.1 Moments of a random signal 8.2 Stationarity and ergodicity 8.3 The probability density function 8.4 The autocorrelation function 8.5 The crosscorrelation function 8.6 The power spectrum 8.7 Random signals and linear systems 8.8 Estimation from finitelength sequences 8.9 Summary 8.10 Exercises Contents
Item Type:  Book  

Additional Information:  Address: London  
Divisions:  Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group 

ePrint ID:  250295  
Date : 


Date Deposited:  01 Aug 2001  
Last Modified:  31 Mar 2016 13:50  
Further Information:  Google Scholar  
URI:  http://eprints.soton.ac.uk/id/eprint/250295 
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