Digital Signal Processing (pearson New International Edition)

By (author) Proakis, John; By (author) Manolakis Dimitris
Description
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.
Table of contents
1 Introduction 1.1 Signals, Systems, and Signal Processing 1.2 Classification of Signals 1.3 The Concept of Frequency in Continuous-Time and Discrete-Time Signals 1.4 Analog-to-Digital and Digital-to-Analog Conversion 1.5 Summary and References   2 Discrete-Time Signals And Systems 2.1 Discrete-Time Signals 2.2 Discrete-Time Systems 2.3 Analysis of Discrete-Time Linear Time-Invariant systems 2.4 Discrete-Time Systems Described by Difference Equations 2.5 Implementation of Discrete-Time Systems 2.6 Correlation of Discrete-Time Signals 2.7 Summary and References   3 The Z-Transform And Its Application To The Analysis Of Lti Systems 3.1 The z-Transform 3.2 Properties of the z-Transform 3.3 Rational z-Transforms 3.4 Inversion of the z-Transform 3.5 Analysis of Linear Time Invariant Systems in the z-Domain 3.6 The One-sided z-Transform 3.7 Summary and References   4 Frequency Analysis Of Signals And Systems 4.1 Frequency Analysis of Continuous-Time Signals 4.2 Frequency Analysis of Discrete-Time Signals 4.3 Frequency-Domain and Time-Domain Signal Properties 4.4 Properties of the Fourier Transform for Discrete-Time Signals 4.5 Summary and References   5 Frequency Domain Analysis Of Lti Systems 5.1 Frequency-Domain Characteristics of Linear Time-Invariant Systems 5.2 Frequency Response of LTI Systems 5.3 Correlation Functions and Spectra at the Output of LTI Systems 5.4 Linear Time-Invariant Systems as Frequency-Selective Filters 5.5 Inverse Systems and Deconvolution 5.6 Summary and References   6 Sampling And Reconstruction Of Signals 6.1 Ideal Sampling and Reconstruction of Continuous-Time Signals 6.2 Discrete-Time Processing of Continuous-Time Signals 6.3 Analog-to-Digital and Digital-to-Analog Converters 6.4 Sampling and Reconstruction of Continuous-Time Bandpass Signals 6.5 Sampling of Discrete-Time Signals 6.6 Oversampling A/D and D/A Converters 6.7 Summary and References   7 The Discrete Fourier Transform: Its Properties And Applications 7.1 Frequency Domain Sampling:The Discrete Fourier Transform 7.2 Properties of the DFT 7.3 Linear Filtering Methods Based on the DFT 7.4 Frequency Analysis of Signals Using the DFT 7.5 The Discrete Cosine Transform 7.6 Summary and References   8 Efficient Computaiton Of The Dft: Fast Fourier Transform Algorithms 8.1 Efficient Computation of the DFT: FFT Algorithms 8.2 Applications of FFT Algorithms 8.3 A Linear Filtering Approach to Computation of the DFT 8.4 Quantization Effects in the Computation of the DFT 8.5 Summary and References   9 Implementation Of Discrete-Time Systems 9.1 Structures for the Realization of Discrete-Time Systems 9.2 Structures for FIR Systems 9.3 Structures for IIR Systems 9.4 Representation of Numbers 9.5 Quantization of Filter Coefficients 9.6 Round-Off Effects in Digital Filters 9.7 Summary and References   10 Design Of Digital Filers 10.1 General Considerations 10.2 Design of FIR Filters 10.3 Design of IIR Filters From Analog Filters 10.4 Frequency Transformations 10.5 Summary and References   11 Multirate Digital Signal Processing 11.1 Introduction 11.2 Decimation by a Factor D 11.3 Interpolation by a Factor I 11.4 Sampling Rate Conve