新书Multirate Filtering for Digital Signal Processing MATLAB Applications

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Multirate Filtering for Digital Signal Processing: MATLAB Applications
By Ljiljana Milic,  information Science Reference | 2008-12-26 | ISBN: 1605661783 | 414 pages

Product Description
       Multirate signal processing techniques are widely used in many areas of modern engineering such as communications, digital audio, measurements, image and signal processing, speech processing, and multimedia.
Multirate Filtering for Digital Signal Processing: MATLAB Applications covers basic and advanced approaches in the design and implementation of multirate filtering. This authoritative volume considers the role of filters in multirate systems, provides efficient solutions of finite and infinite impulse response filters for sampling rate conversion, and discusses examples of multirate multilevel filter banks, offering a must-have book for practitioners and scholars in multirate signal processing.

[ 本帖最后由 jacobshen 于 2009-6-10 17:48 编辑 ]

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Table of Contents
FOREWORD
PREFACE
CHAPTER I: DISCRETE-TIME SIGNALS AND SYSTEMS: BACKGROUND REVIEW
Introduction
Discrete-Time Signals
Operation on Sequences
Discrete-Time Systems
Linear-Time Invariant Systems
Discrete-Time Fourier Transform
Spectrum of Discrete-Time Signal
Frequency Response of Discrete-Time LTI System
Discrete Fourier Transform
The z-Transform
Rational z-Transforms
The Inverse z-Transform
Z-Transform Representation of Discrete-Time Systems
Linear-Phase Systems
All-Pass Transfer Functions
Structures for Discrete-Time Systems
Basic Implementation Structures for FIR Systems
Basic Implementation Structures for IIR Systems
Sampling the Continuous-Time Signal
References
CHAPTER II: BASICS OF MULTIRATE SYSTEMS
Introduction
Time-Domain Representation of Down-Sampling and Up-Sampling
Down-Sampling Operation
Up-Sampling Operation
Linearity and Time-Dependence Properties
Frequency-Domain Characterizations of Down-Sampling and Up-Sampling
Frequency-Domain Characterization of Down-Sampler
Frequency-Domain Characterization of Up-Sampler
Decimation and Interpolation
Decimation
Interpolation
The Six Identities
Cascading Sampling-Rate Alteration Devices
Sampling Rare Conversion with the Phase Offset
Polyphase Decomposition
Multistage Systems
MATLAB Exercises
References
CHAPTER III: FILTERS IN MULTIRATE SYSTEMS
Introduction
Spectral Characteristics of Decimators and Interpolators
Filter Specifications for Decimators and Interpolators
MATLAB Functions for Filter Design
FIR Filter Design
Interpolated FIR (IFIR) Filter Design
IIR Filter Design
Computation of Aliasing Characteristics
Sampling Rate Alteration of Bandpass Signals
MATLAB Exercises
References
CHAPTER IV: FIR FILTERS FOR SAMPLING-RATE CONVERSION
Introduction
Direct Implementation Structures for FIR Decimators and Interpolators
Direct Implementation Structures for FIR Decimators
Direct Implementation Structures for FIR Interpolators
Polyphase Implementation of Decimators and Interpolators
Polyphase Realization Structure for FIR Filters
Efficient Polyphase Realizations of FIR Decimators and Interpolators
Structure Verification and Simulation using MATLAB
Memory Saving Structures for FIR Polyphase Decimators and Interpolators
Computational Efficiency of FIR Decimators and Interpolators
Computing the Multiplication Rate
Computational Efficiency of Single-Stage and Multistage Systems
Advanced Methods for Improving the Computational Efficiency of FIR Decimators and Interpolators
MATLAB Exercises
References
CHAPTER V: IIR FILTERS FOR SAMPLING-RATE CONVERSION
Introduction
Direct Implementation Structures for IIR Filters for Decimation and Interpolation
Computational Requirements for IIR Decimators and Interpolators
IIR Filter Structures Based on Polyphase Decomposition
Computational Efficiency of Polyphase IIR Decimators and Interpolators
The Role of Extra Filter
Polyphase IIR Structure with Two All-Pass Subfilters: IIR Halfband Filter
IIR Structures with Two All-Pass Subfilters: Applications of EMQF Filters
MATLAB Exercises
References
CHAPTER VI: SAMPLING-RATE CONVERSION BY A FRACTIONAL CONVERSION FACTOR
Introduction
Sampling-Rate Conversion by a Rational Factor
Spectrum of the Resampled Signal
Polyphase Implementation of Rational Sampling Rate Converters
Rational Sampling-Rate Alterations with Large Conversion Factors
Sampling-Rate Alteration by an Arbitrary Factor
Time Domain Approach to Interpolation
The Polynomial Interpolation Based on the Hybrid Analog/Digital Model
Efficient Implementation of Polynomial Interpolation Filters Using Farrow Structure
Fractional-Delay Filters
MATLAB Exercises
References
CHAPTER VII: Lth-BAND DIGITAL FILTERS
Introduction
Lth-Band Linear-Phase FIR Filters: Definitions and Properties
Polyphase Implementation of FIR Lth-Band Filters
Separable Linear-Phase Lth-Band FIR Filters, Minimum-Phase and Maximum- Phase Transfer Functions
Halfband FIR Filters
Linear-Phase Halfband Filters
Efficient Implementation of Linear-Phase Halfband Filters
Minimum-Phase and Maximum-Phase FIR Halfband Filters
FIR Filters with Maximally-Flat Magnitude Response
Lth-Band IIR Filters
Halfband IIR Filters
IIR Halfband Filter Properties
IIR Halfband Filter Design in MATLAB
Regular Filters
IIR Halfband Filters with Approximately Linear Phase
MATLAB Exercises
References
CHAPTER VIII: COMPLEMENTARY FILTER PAIRS
Introduction
Definitions of Complementary Digital Filter Pairs
Constructing Highpass FIR and IIR Filters
Generating Linear-Phase Highpass FIR filter
Generating Highpass IIR filter
Analysis and Synthesis Filter Pairs
FIR Complementary Filter Pairs
Delay-Complementary FIR Filter Pairs
Delay-Complementary and Magnitude-Complementary FIR Filter Pairs
Power-Complementary FIR Filter Pairs
IIR Complementary Filter Pairs
Classs I: Power-Complementary and All-Pass Complementary Filter Pairs Implemented as a Parallel Connection of Two All-Pass Subfilters
?i>Classs II: Power-Complementary Filter Pairs Implemented as a Tapped Cascaded Interconnection of Two Identical All-Pass Subfilters
Classs III: Magnitude-Complementary and All-Pass Complementary Filter Pairs Implemented as a tapped Cascaded Interconnection of Two Identical All-Pass Subfilters
MATLAB Exercises
References
CHAPTER IX: MULTIRATE TECHNIQUES IN FILTER DESIGN AND IMPLEMENTATION
Introduction
Solving Complex Filtering Problems Using Multirate Techniques
Multistage Narowband Filters
Multistage Filtering with the Halfband Decimation and Interpolation Filters
Estimation of the Conversion Factor
Highpass Multirate filter
Structures based on Complementary Filters and Multirate Techniques
MATLAB Exercises
References
CHAPTER X: FREQUENCY-RESPONSE MASKING TECHNIQUES
Introduction
Narrowband Filter Design
Arbitrary Bandwidth Design
FIR and IIR Complementary Filter Pairs that are Used as Model Filters
Filter Synthesis Based on a Complementary Filter pair and Two Masking Filters
Phase Characteristics
Narrowband Filters
Wideband Filters
Constrained Design for Wideband Filters
References
CHAPTER XI: COMB-BASED FILTERS FOR SAMPLING-RATE CONVERSION
Introduction
Comb-Based Filter Sections
Cascade Integrator-Comb (CIC) Filters in Decimatiors and Interpolators
Main Performances of Comb-Based Decimator
Cascading CIC filter and FIR filter
Polyphase Implementation Structures
Sharpened Comb Filters
Two-Stage Sharpened Comb Decimator
Modified Comb Decimation Filter: Zero Rotation Approach
MATLAB Exercises
References
CHAPTER XII: EXAMPLES OF MULTIRATE FILTER BANKS
Introduction
Two-Channel Filter Banks
Alias-Free Filter Banks
Perfect-Reconstruction and Nearly Perfect-Reconstruction Filter Banks
Quadrature Mirror (QMF) Filter Banks
Alias-Free Two-Channel IIR QMF Banks with Magnitude-Preserving Property
Orthogonal Two-Channel FIR Filter Banks
Tree-Structured Multichannel Filter Banks
Filter Banks with Equal Passband Widths
Octave Filter Banks
MATLAB Exercises
References
Appendix A

wendy235711

具实用价值的一本书籍
谢谢分享

wendy235711

非常棒的一本书籍
谢谢楼主的分享

wendy235711

值得细心学习的一份资料
谢谢分享

wendy235711

一本数字信号处理高等题材的著作
谢谢分享

wendy235711

很棒的分享
如果压缩包能再少一点就更棒了
谢谢分享

guihe

thanks a lot

wendy235711

非常值得学习的一份资料
谢谢分享