Digital Signal Processing: Pearson New International Edition

Digital Signal Processing: Pearson New International Edition

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A significant revision of a best-selling text for the introductory digital signal processing course. This book presents the fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer engineering, and computer science.The book is suitable for either a one-semester or a two-semester undergraduate level course in discrete systems and digital signal processing. It is also intended for use in a one-semester first-year graduate-level course in digital signal processing.
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Product details

  • Paperback | 1024 pages
  • 218 x 276 x 36mm | 1,899.97g
  • Pearson Education Limited
  • Harlow, United Kingdom
  • English
  • 4th edition
  • Illustrations (black and white)
  • 1292025735
  • 9781292025735
  • 812,825

Table of contents

1 Introduction1.1 Signals, Systems, and Signal Processing1.2 Classification of Signals1.3 The Concept of Frequency in Continuous-Time and Discrete-Time Signals1.4 Analog-to-Digital and Digital-to-Analog Conversion1.5 Summary and References 2 Discrete-Time Signals And Systems2.1 Discrete-Time Signals2.2 Discrete-Time Systems2.3 Analysis of Discrete-Time Linear Time-Invariant systems2.4 Discrete-Time Systems Described by Difference Equations2.5 Implementation of Discrete-Time Systems2.6 Correlation of Discrete-Time Signals2.7 Summary and References 3 The Z-Transform And Its Application To The Analysis Of Lti Systems3.1 The z-Transform3.2 Properties of the z-Transform3.3 Rational z-Transforms3.4 Inversion of the z-Transform3.5 Analysis of Linear Time Invariant Systems in the z-Domain3.6 The One-sided z-Transform3.7 Summary and References 4 Frequency Analysis Of Signals And Systems4.1 Frequency Analysis of Continuous-Time Signals4.2 Frequency Analysis of Discrete-Time Signals4.3 Frequency-Domain and Time-Domain Signal Properties4.4 Properties of the Fourier Transform for Discrete-Time Signals4.5 Summary and References 5 Frequency Domain Analysis Of Lti Systems5.1 Frequency-Domain Characteristics of Linear Time-Invariant Systems5.2 Frequency Response of LTI Systems5.3 Correlation Functions and Spectra at the Output of LTI Systems5.4 Linear Time-Invariant Systems as Frequency-Selective Filters5.5 Inverse Systems and Deconvolution5.6 Summary and References 6 Sampling And Reconstruction Of Signals6.1 Ideal Sampling and Reconstruction of Continuous-Time Signals6.2 Discrete-Time Processing of Continuous-Time Signals6.3 Analog-to-Digital and Digital-to-Analog Converters6.4 Sampling and Reconstruction of Continuous-Time Bandpass Signals6.5 Sampling of Discrete-Time Signals6.6 Oversampling A/D and D/A Converters6.7 Summary and References 7 The Discrete Fourier Transform: Its Properties And Applications7.1 Frequency Domain Sampling:The Discrete Fourier Transform7.2 Properties of the DFT7.3 Linear Filtering Methods Based on the DFT7.4 Frequency Analysis of Signals Using the DFT7.5 The Discrete Cosine Transform7.6 Summary and References 8 Efficient Computaiton Of The Dft: Fast Fourier Transform Algorithms8.1 Efficient Computation of the DFT: FFT Algorithms8.2 Applications of FFT Algorithms8.3 A Linear Filtering Approach to Computation of the DFT8.4 Quantization Effects in the Computation of the DFT8.5 Summary and References 9 Implementation Of Discrete-Time Systems9.1 Structures for the Realization of Discrete-Time Systems9.2 Structures for FIR Systems9.3 Structures for IIR Systems9.4 Representation of Numbers9.5 Quantization of Filter Coefficients9.6 Round-Off Effects in Digital Filters9.7 Summary and References 10 Design Of Digital Filers10.1 General Considerations10.2 Design of FIR Filters10.3 Design of IIR Filters From Analog Filters10.4 Frequency Transformations10.5 Summary and References 11 Multirate Digital Signal Processing11.1 Introduction11.2 Decimation by a Factor D11.3 Interpolation by a Factor I11.4 Sampling Rate Conversion by a Rational Factor I/D11.5 Implementation of Sampling Rate Conversion11.6 Multistage Implementation of Sampling Rate Conversion11.7 Sampling Rate Conversion of Bandpass Signals11.8 Sampling Rate conversion by an Arbitrary Factor11.9 Applications of Sampling Rate Conversion11.10 Digital Filter Banks11.11 Two-Channel Quadrature Mirror Filter Bank11.12 M-Channel QMF Bank11.13 Summary and References 12 Linear Prediction And Optimum Linear Filters12.1 Random Signals, Correlation Functions and Power Spectra12.2 Innovations Representation of a Stationary Random Process12.3 Forward and Backward Linear Prediction12.4 Solution of the Normal Equations12.5 Properties of the Linear Prediction-Error Filters12.6 AR Lattice and ARMA Lattice-Ladder Filters12.7 Wiener Filters for Filtering and Prediction12.8 Summary and References 13 Adaptive Filters13.1 Applications of Adaptive Filters13.2 Adaptive Direct-Form FIR Filters-The LMS Algorithm13.3 Adaptive Direct-Form FIR Filters-RLS Algorithms13.4 Adaptive Lattice-Ladder Filters13.5 Summary and References AppendicesAppendix A Random Number GeneratorsAppendix B Tables of Transition Coefficients for the Design of Linear-Phase FiltersReferences and BibliographyIndex
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320 ratings
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