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发表于 2011-12-2 22:14:58
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| Table of Contents Sampling and Reconstruction
 1.1 Introduction
 1.2 Review of Analog Signals
 1.3 Sampling Theorem
 1.3.1 Sampling Theorem
 1.3.2 Antialiasing Prefilters
 1.3.3 Hardware Limits
 1.4 Sampling of Sinusoids
 1.4.1 Analog Reconstruction and Aliasing
 1.4.2 Rotational Motion
 1.4.3 DSP Frequency Units
 1.5 Spectra of Sampled Signals*
 1.5.1 Discrete-Time Fourier Transform
 1.5.2 Spectrum Replication
 1.5.3 Practical Antialiasing Prefilters
 1.6 Analog Reconstructors*
 1.6.1 Ideal Reconstructors
 1.6.2 Staircase Reconstructors
 1.6.3 Anti-Image Postfilters
 1.7 Basic Components of DSP Systems
 1.8 Problems
 
 Quantization
 2.1 Quantization Process
 2.2 Oversampling and Noise Shaping*
 2.3 D/A Converters
 2.4 A/D Converters
 2.5 Analog and Digital Dither*
 2.6 Problems
 
 Discrete-Time Systems
 3.1 Input/Output Rules
 3.2 Linearity and Time Invariance
 3.3 Impulse Response
 3.4 FIR and IIR Filters
 3.5 Causality and Stability
 3.6 Problems
 
 FIR Filtering and Convolution
 4.1 Block Processing Methods
 4.1.1 Convolution
 4.1.2 Direct Form
 4.1.3 Convolution Table
 4.1.4 LTI Form
 4.1.5 Matrix Form
 4.1.6 Flip-and-Slide Form
 4.1.7 Transient and Steady-State Behavior
 4.1.8 Convolution of Infinite Sequences
 4.1.9 Programming Considerations
 4.1.10 Overlap-Add Block Convolution Method
 4.2 Sample Processing Methods
 4.2.1 Pure Delays
 4.2.2 FIR Filtering in Direct Form
 4.2.3 Programming Considerations
 4.2.4 Hardware Realizations and Circular Buffers
 4.3 Problems
 
 z-Transforms
 5.1 Basic Properties
 5.2 Region of Convergence
 5.3 Causality and Stability
 5.4 Frequency Spectrum
 5.5 Inverse z-Transforms
 5.6 Problems
 
 Transfer Functions
 6.1 Equivalent Descriptions of Digital Filters
 6.2 Transfer Functions
 6.3 Sinusoidal Response
 6.3.1 Steady-State Response
 6.3.2 Transient Response
 6.4 Pole/Zero Designs
 6.4.1 First-Order Filters
 6.4.2 Parametric Resonators and Equalizers
 6.4.3 Notch and Comb Filters
 6.5 Deconvolution, Inverse Filters, and Stability
 6.6 Problems
 
 Digital Filter Realizations
 7.1 Direct Form
 7.2 Canonical Form
 7.3 Cascade Form
 7.4 Cascade to Canonical
 7.5 Hardware Realizations and Circular Buffers
 7.6 Quantization Effects in Digital Filters
 7.7 Problems
 
 Signal Processing Applications
 8.1 Digital Waveform Generators
 8.1.1 Sinusoidal Generators
 8.1.2 Periodic Waveform Generators
 8.1.3 Wavetable Generators
 8.2 Digital Audio Effects
 8.2.1 Delays, Echoes, and Comb Filters
 8.2.2 Flanging, Chorusing, and Phasing
 8.2.3 Digital Reverberation
 8.2.4 Multitap Delays
 8.2.5 Compressors, Limiters, Expanders, and Gates
 8.3 Noise Reduction and Signal Enhancement
 8.3.1 Noise Reduction Filters
 8.3.2 Notch and Comb Filters
 8.3.4 Line and Frame Combs for Digital TV
 8.3.5 Signal Averaging
 8.3.6 Savitzky-Golay Smoothing Filters*
 8.4 Problems
 
 DFT/FFT Algorithms
 9.1 Frequency Resolution and Windowing
 9.2 DTFT Computation
 9.2.1 DTFT at a Single Frequency
 9.2.2 DTFT over a Frequency Range
 9.2.3 DFT
 9.2.4 Zero Padding
 9.3 Physical versus Computational Resolution
 9.4 Matrix Form of DFT
 9.5 Modulo-N Reduction
 9.6 Inverse DFT
 9.7 Sampling of Periodic Signals and the DFT
 9.8 FFT
 9.9 Fast Convolution
 9.9.1 Circular Convolution
 9.9.2 Overlap-Add and Overlap-Save Methods
 9.10 Problems
 
 FIR Digital Filter Design
 10.1 Window Method
 10.1.1 Ideal Filters
 10.1.2 Rectangular Window
 10.1.3 Hamming Window
 10.2 Kaiser Window
 10.2.1 Kaiser Window for Filter Design
 10.2.2 Kaiser Window for Spectral Analysis
 10.3 Frequency Sampling Method
 10.4 Other FIR Design Methods
 10.5 Problems
 
 IIR Digital Filter Design
 11.1 Bilinear Transformation
 11.2 First Order Lowpass and Highpass Filters
 11.3 Second Order Peaking and Notching Filters
 11.4 Parametric Equalizer Filters
 11.5 Comb Filters
 11.6 Higher Order Filters
 11.6.1 Analog Lowpass Butterworth Filters
 11.6.2 Digital Lowpass Filters
 11.6.3 Digital Highpass Filters
 11.6.4 Digital Bandpass Filters
 11.6.5 Digital Bandstop Filters
 11.6.6 Chebyshev Filter Design*
 11.7 Problems
 
 Interpolation, Decimation, and Oversampling
 12.1 Interpolation and Oversampling
 12.2 Interpolation Filter Design*
 12.2.1 Direct Form
 12.2.2 Polyphase Form
 12.2.3 Frequency-Domain Characteristics
 12.2.4 Kaiser Window Designs
 12.2.5 Multistage Designs
 12.3 Design Examples*
 12.3.1 4-fold Interpolators
 12.3.2 Multistage 4-fold Interpolators
 12.3.3 DAC Equalization
 12.3.4 Postfilter Design and Equalization
 12.3.5 Multistage Equalization
 12.4 Decimation and Oversampling*
 12.5 Sampling Rate Converters*
 12.6 Noise Shaping Quantizers*
 12.8 Problems
 
 Appendix
 A Random Signals*
 A.1 Autocorrelation Functions and Power Spectra
 A.2 Filtering of Random Signals
 B Random Number Generators
 B.1 Uniform and Gaussian Generators
 B.2 Low-Frequency Noise Generators*
 B.3 1/f Noise Generators*
 B.4 Problems
 C Complex Arithmetic in C
 D MATLAB Functions
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