LEADER 06420nam 22009373u 450 001 9910830120103321 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(SSID)ssj0000566863 035 $a(PQKBManifestationID)12228224 035 $a(PQKBTitleCode)TC0000566863 035 $a(PQKBWorkID)10562551 035 $a(PQKB)10333262 035 $a(MiAaPQ)EBC240699 035 $a(CaSebORM)9780471464822 035 $a(OCoLC)85820645 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. Striking the right balance between mathematical derivations and theory, the 606 $aDesign and construction 606 $aDigital techniques 606 $aDiscrete-time systems 606 $aElectric filters, Digital 606 $aElectric filters, Digital - Design and construction 606 $aMicroorganisms 606 $aSignal processing - Digital techniques 606 $aSignal processing 606 $aSignal processing$xDigital techniques 606 $aDiscrete-time systems$xDesign and construction 606 $aElectric filters, Digital 606 $aElectrical & Computer Engineering$2HILCC 606 $aEngineering & Applied Sciences$2HILCC 606 $aTelecommunications$2HILCC 615 4$aDesign and construction. 615 4$aDigital techniques. 615 4$aDiscrete-time systems. 615 4$aElectric filters, Digital. 615 4$aElectric filters, Digital - Design and construction. 615 4$aMicroorganisms. 615 4$aSignal processing - Digital techniques. 615 4$aSignal processing. 615 0$aSignal processing$xDigital techniques 615 0$aDiscrete-time systems$xDesign and construction 615 0$aElectric filters, Digital 615 7$aElectrical & Computer Engineering 615 7$aEngineering & Applied Sciences 615 7$aTelecommunications 676 $a621.3822 700 $aShenoi$b B. A$01637487 801 0$bAU-PeEL 801 1$bAU-PeEL 801 2$bAU-PeEL 906 $aBOOK 912 $a9910830120103321 996 $aIntroduction to Digital Signal Processing and Filter Design$93979343 997 $aUNINA