LEADER 06419nam 22009373u 450 001 9910143551903321 005 20210113132343.0 010 $a1-280-23885-2 010 $a9786610238859 010 $a0-470-24257-4 010 $a0-471-65637-2 010 $a0-471-65638-0 035 $a(CKB)1000000000355686 035 $a(EBL)240699 035 $a(OCoLC)63652438 035 $a(SSID)ssj0000566863 035 $a(PQKBManifestationID)12228224 035 $a(PQKBTitleCode)TC0000566863 035 $a(PQKBWorkID)10562551 035 $a(PQKB)10333262 035 $a(CaSebORM)9780471464822 035 $a(MiAaPQ)EBC240699 035 $a(PPN)177058870 035 $a(EXLCZ)991000000000355686 100 $a20131014d2005|||| u|| | 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntroduction to Digital Signal Processing and Filter Design$b[electronic resource] 205 $a1st edition 210 $aHoboken $cWiley$d2005 215 $a1 online resource (441 p.) 300 $aDescription based upon print version of record. 311 $a0-471-46482-1 320 $aIncludes bibliographical references and index. 327 $aINTRODUCTION TO DIGITAL SIGNAL PROCESSING AND FILTER DESIGN; CONTENTS; Preface; 1 Introduction; 1.1 Introduction; 1.2 Applications of DSP; 1.3 Discrete-Time Signals; 1.3.1 Modeling and Properties of Discrete-Time Signals; 1.3.2 Unit Pulse Function; 1.3.3 Constant Sequence; 1.3.4 Unit Step Function; 1.3.5 Real Exponential Function; 1.3.6 Complex Exponential Function; 1.3.7 Properties of cos(w(0)n); 1.4 History of Filter Design; 1.5 Analog and Digital Signal Processing; 1.5.1 Operation of a Mobile Phone Network; 1.6 Summary; Problems; References; 2 Time-Domain Analysis and z Transform 327 $a2.1 A Linear, Time-Invariant System2.1.1 Models of the Discrete-Time System; 2.1.2 Recursive Algorithm; 2.1.3 Convolution Sum; 2.2 z Transform Theory; 2.2.1 Definition; 2.2.2 Zero Input and Zero State Response; 2.2.3 Linearity of the System; 2.2.4 Time-Invariant System; 2.3 Using z Transform to Solve Difference Equations; 2.3.1 More Applications of z Transform; 2.3.2 Natural Response and Forced Response; 2.4 Solving Difference Equations Using the Classical Method; 2.4.1 Transient Response and Steady-State Response; 2.5 z Transform Method Revisited; 2.6 Convolution Revisited 327 $a2.7 A Model from Other Models2.7.1 Review of Model Generation; 2.8 Stability; 2.8.1 Jury-Marden Test; 2.9 Solution Using MATLAB Functions; 2.10 Summary; Problems; References; 3 Frequency-Domain Analysis; 3.1 Introduction; 3.2 Theory of Sampling; 3.2.1 Sampling of Bandpass Signals; 3.3 DTFT and IDTFT; 3.3.1 Time-Domain Analysis of Noncausal Inputs; 3.3.2 Time-Shifting Property; 3.3.3 Frequency-Shifting Property; 3.3.4 Time Reversal Property; 3.4 DTFT of Unit Step Sequence; 3.4.1 Differentiation Property; 3.4.2 Multiplication Property; 3.4.3 Conjugation Property; 3.4.4 Symmetry Property 327 $a3.5 Use of MATLAB to Compute DTFT3.6 DTFS and DFT; 3.6.1 Introduction; 3.6.2 Discrete-Time Fourier Series; 3.6.3 Discrete Fourier Transform; 3.6.4 Reconstruction of DTFT from DFT; 3.6.5 Properties of DTFS and DFT; 3.7 Fast Fourier Transform; 3.8 Use of MATLAB to Compute DFT and IDFT; 3.9 Summary; Problems; References; 4 Infinite Impulse Response Filters; 4.1 Introduction; 4.2 Magnitude Approximation of Analog Filters; 4.2.1 Maximally Flat and Butterworth Approximation; 4.2.2 Design Theory of Butterworth Lowpass Filters; 4.2.3 Chebyshev I Approximation 327 $a4.2.4 Properties of Chebyshev Polynomials4.2.5 Design Theory of Chebyshev I Lowpass Filters; 4.2.6 Chebyshev II Approximation; 4.2.7 Design of Chebyshev II Lowpass Filters; 4.2.8 Elliptic Function Approximation; 4.3 Analog Frequency Transformations; 4.3.1 Highpass Filter; 4.3.2 Bandpass Filter; 4.3.3 Bandstop Filter; 4.4 Digital Filters; 4.5 Impulse-Invariant Transformation; 4.6 Bilinear Transformation; 4.7 Digital Spectral Transformation; 4.8 Allpass Filters; 4.9 IIR Filter Design Using MATLAB; 4.10 Yule-Walker Approximation; 4.11 Summary; Problems; References 327 $a5 Finite Impulse Response Filters 330 $aA practical and accessible guide to understanding digital signal processingIntroduction to Digital Signal Processing and Filter Design was developed and fine-tuned from the author's twenty-five years of experience teaching classes in digital signal processing. Following a step-by-step approach, students and professionals quickly master the fundamental concepts and applications of discrete-time signals and systems as well as the synthesis of these systems to meet specifications in the time and frequency domains. 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