LEADER 05365nam 2200637 a 450 001 9910821260603321 005 20200520144314.0 010 $a6611056963 010 $a1-281-05696-0 010 $a9786611056964 010 $a0-08-055057-6 035 $a(CKB)1000000000363954 035 $a(EBL)311323 035 $a(OCoLC)476097801 035 $a(SSID)ssj0000139183 035 $a(PQKBManifestationID)11146836 035 $a(PQKBTitleCode)TC0000139183 035 $a(PQKBWorkID)10011240 035 $a(PQKB)10801084 035 $a(MiAaPQ)EBC311323 035 $a(Au-PeEL)EBL311323 035 $a(CaPaEBR)ebr10190173 035 $a(CaONFJC)MIL105696 035 $a(OCoLC)437189179 035 $a(EXLCZ)991000000000363954 100 $a20070618d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDigital signal processing $efundamentals and applications /$fLi Tan 205 $a1st ed. 210 $aAmsterdam ;$aBoston $cAcademic Press$dc2008 215 $a1 online resource (838 p.) 300 $aDescription based upon print version of record. 311 $a0-12-374090-8 320 $aIncludes bibliographical references (p. [761]-763) and index. 327 $aFront Cover; Digital Signal Processing; Copyright Page; Contents; Preface; About the Author; Chapter 1: Introduction to Digital Signal Processing; Objectives; 1.1 Basic Concepts of Digital Signal Processing; 1.4 Digital Signal Processing Applications; 1.5 Summary; References; Chapter 2: Signal Sampling and Quantization; Objectives; 2.1 Sampling of Continuous Signal; 2.2.2 Practical Considerations for Signal Reconstruction: Anti-Image Filter and Equalizer; 2.3 Analog-to-Digital Conversion, Digital-to-Analog Conversion, and Quantization; 2.4 Summary; 2.5 MATLAB Programs; 2.6 Problems 327 $aReferencesChapter 3: Digital Signals and Systems; Objectives; 3.1 Digital Signals; 3.1.2 Generation of Digital Signals; 3.2.2 Time Invariance; 3.2.3 Causality; 3.3 Difference Equations and Impulse Responses; 3.3.1 Format of Difference Equation; 3.4 Bounded-in-and-Bounded-out Stability; 3.5 Digital Convolution; 3.6 Summary; 3.7 Problems; Chapter 4: Discrete Fourier Transform and Signal Spectrum; Objectives; 4.1 Discrete Fourier Transform; 4.2 Amplitude Spectrum and Power Spectrum; 4.5.1 Method of Decimation-in-Frequency; 4.6 Summary; 4.7 Problems; References; Chapter 5: The z-Transform 327 $aObjectives5.1 Definition; 5.2 Properties of the z-Transform; 5.3 Inverse z-Transform; 5.3.1 Partial Fraction Expansion Using MATLAB; 5.4 Solution of Difference Equations Using the z-Transform; 5.5 Summary; 5.6 Problems; Reference; Chapter 6: Digital Signal Processing Systems, Basic Filtering Types, and Digital Filter Realizations; Objectives; 6.1 The Difference Equation and Digital Filtering; 6.2 Difference Equation and Transfer Function; 6.2.1 Impulse Response, Step Response, and System Response; 6.3 The z-Plane Pole-Zero Plot and Stability; 6.6 Realization of Digital Filters 327 $a6.6.1 Direct-Form I Realization6.7 Application: Speech Enhancement and Filtering; 6.7.1 Pre-Emphasis of Speech; 6.7.2 Bandpass Filtering of Speech; 6.8 Summary; 6.9 Problems; Reference; Chapter 7: Finite Impulse Response Filter Design; Objectives; 7.1 Finite Impulse Response Filter Format; 7.3 Window Method; 7.4.3 Two-Band Digital Crossover; 7.7 Realization Structures of Finite Impulse Response Filters; 7.7.1 Transversal Form; 7.7.2 Linear Phase Form; 7.9 Summary of Finite Impulse Response (FIR) Design Procedures and Selection of FIR Filter Design Methods in Practice; 7.11 MATLAB Programs 327 $a7.12 ProblemsReferences; Chapter 8: Infinite Impulse Response Filter Design; Objectives; 8.1 Infinite Impulse Response Filter Format; 8.2.2 Bilinear Transformation and Frequency Warping; 8.2.3 Bilinear Transformation Design Procedure; 8.3 Digital Butterworth and Chebyshev Filter Designs; 8.3.1 Lowpass Prototype Function and Its Order; 8.3.3 Bandpass and Bandstop Filter Design Examples; 8.5 Application: Digital Audio Equalizer; 8.6 Impulse Invariant Design Method; 8.7.2 Second-Order Bandstop (Notch) Filter Design; 8.8 Realization Structures of Infinite Impulse Response Filters 327 $a8.8.1 Realization of Infinite Impulse Response Filters in Direct-Form I and Direct-Form II 330 $aThis book will enable electrical engineers and technicians in the fields of the biomedical, computer, and electronics engineering, to master the essential fundamentals of DSP principles and practice. Coverage includes DSP principles, applications, and hardware issues with an emphasis on applications. Many instructive worked examples are used to illustrate the material and the use of mathematics is minimized for easier grasp of concepts.In addition to introducing commercial DSP hardware and software, and industry standards that apply to DSP concepts and algorithms, topics covered include ad 606 $aSignal processing$xDigital techniques 615 0$aSignal processing$xDigital techniques. 676 $a621.382/2 700 $aTan$b Li$f1963-$01630323 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910821260603321 996 $aDigital signal processing$93968557 997 $aUNINA