| |
| |
Preface | |
| |
| |
| |
Introduction | |
| |
| |
| |
Signals, Systems, and Signal Processing | |
| |
| |
| |
Basic Elements of a Digital Signal Processing System | |
| |
| |
| |
Advantages of Digital over Analog Signal Processing | |
| |
| |
| |
Classification of Signals | |
| |
| |
| |
Multichannel and Multidimensional Signals | |
| |
| |
| |
Continuous-Time Versus Discrete-Time Signals | |
| |
| |
| |
Continuous-Valued Versus Discrete-Valued Signals | |
| |
| |
| |
Deterministic Versus Random Signals | |
| |
| |
| |
The Concept of Frequency in Continuous-Time and Discrete-Time Signals | |
| |
| |
| |
Continuous-Time Sinusoidal Signals | |
| |
| |
| |
Discrete-Time Sinusoidal Signals | |
| |
| |
| |
Harmonically Related Complex Exponentials | |
| |
| |
| |
Analog-to-Digital and Digital-to-Analog Conversion | |
| |
| |
| |
Sampling of Analog Signals | |
| |
| |
| |
The Sampling Theorem | |
| |
| |
| |
Quantization of Continuous-Amplitude Signals | |
| |
| |
| |
Quantization of Sinusoidal Signals | |
| |
| |
| |
Coding of Quantized Samples | |
| |
| |
| |
Digital-to-Analog Conversion | |
| |
| |
| |
Analysis of Digital Signals and Systems Versus Discrete-Time Signals and Systems | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
Discrete-Time Signals and Systems | |
| |
| |
| |
Discrete-Time Signals | |
| |
| |
| |
Some Elementary Discrete-Time Signals | |
| |
| |
| |
Classification of Discrete-Time Signals | |
| |
| |
| |
Simple Manipulations of Discrete-Time Signals | |
| |
| |
| |
Discrete-Time Systems | |
| |
| |
| |
Input-Output Description of Systems | |
| |
| |
| |
Block Diagram Representation of Discrete-Time Systems | |
| |
| |
| |
Classification of Discrete-Time Systems | |
| |
| |
| |
Interconnection of Discrete-Time Systems | |
| |
| |
| |
Analysis of Discrete-Time Linear Time-Invariant Systems | |
| |
| |
| |
Techniques for the Analysis of Linear Systems | |
| |
| |
| |
Resolution of a Discrete-Time Signal into Impulses | |
| |
| |
| |
Response of LTI Systems to Arbitrary Inputs: The Convolution Sum | |
| |
| |
| |
Properties of Convolution and the Interconnection of LTI Systems | |
| |
| |
| |
Causal Linear Time-Invariant Systems | |
| |
| |
| |
Stability of Linear Time-Invariant Systems | |
| |
| |
| |
Systems with Finite-Duration and Infinite-Duration Impulse Response | |
| |
| |
| |
Discrete-Time Systems Described by Difference Equations | |
| |
| |
| |
Recursive and Nonrecursive Discrete-Time Systems | |
| |
| |
| |
Linear Time-Invariant Systems Characterized by Constant-Coefficient Difference Equations | |
| |
| |
| |
Solution of Linear Constant-Coefficient Difference Equations | |
| |
| |
| |
The Impulse Response of a Linear Time-Invariant Recursive System | |
| |
| |
| |
Implementation of Discrete-Time Systems | |
| |
| |
| |
Structures for the Realization of Linear Time-Invariant Systems | |
| |
| |
| |
Recursive and Nonrecursive Realizations of FIR Systems | |
| |
| |
| |
Correlation of Discrete-Time Signals | |
| |
| |
| |
Crosscorrelation and Autocorrelation Sequences | |
| |
| |
| |
Properties of the Autocorrelation and Crosscorrelation Sequences | |
| |
| |
| |
Correlation of Periodic Sequences | |
| |
| |
| |
Input-Output Correlation Sequences | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
The z-Transform and Its Application to the Analysis of LTI Systems | |
| |
| |
| |
The z-Transform | |
| |
| |
| |
The Direct z-Transform | |
| |
| |
| |
The Inverse z-Transform | |
| |
| |
| |
Properties of the z-Transform | |
| |
| |
| |
Rational z-Transforms | |
| |
| |
| |
Poles and Zeros | |
| |
| |
| |
Pole Location and Time-Domain Behavior for Causal Signals | |
| |
| |
| |
The System Function of a Linear Time-Invariant System | |
| |
| |
| |
Inversion of the z-Transform | |
| |
| |
| |
The Inverse z-Transform by Contour Integration | |
| |
| |
| |
The Inverse z-Transform by Power Series Expansion | |
| |
| |
| |
The Inverse z-Transform by Partial-Fraction Expansion | |
| |
| |
| |
Decomposition of Rational z-Transforms | |
| |
| |
| |
Analysis of Linear Time-Invariant Systems in the z-Domain | |
| |
| |
| |
Response of Systems with Rational System Functions | |
| |
| |
| |
Transient and Steady-State Responses | |
| |
| |
| |
Causality and Stability | |
| |
| |
| |
Pole-Zero Cancellations | |
| |
| |
| |
Multiple-Order Poles and Stability | |
| |
| |
| |
Stability of Second-Order Systems | |
| |
| |
| |
The One-sided z-Transform | |
| |
| |
| |
Definition and Properties | |
| |
| |
| |
Solution of Difference Equations | |
| |
| |
| |
Response of Pole-Zero Systems with Nonzero Initial Conditions | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
Frequency Analysis of Signals | |
| |
| |
| |
Frequency Analysis of Continuous-Time Signals | |
| |
| |
| |
The Fourier Series for Continuous-Time Periodic Signals | |
| |
| |
| |
Power Density Spectrum of Periodic Signals | |
| |
| |
| |
The Fourier Transform for Continuous-Time Aperiodic Signals | |
| |
| |
| |
Energy Density Spectrum of Aperiodic Signals | |
| |
| |
| |
Frequency Analysis of Discrete-Time Signals | |
| |
| |
| |
The Fourier Series for Discrete-Time Periodic Signals | |
| |
| |
| |
Power Density Spectrum of Periodic Signals | |
| |
| |
| |
The Fourier Transform of Discrete-Time Aperiodic Signals | |
| |
| |
| |
Convergence of the Fourier Transform | |
| |
| |
| |
Energy Density Spectrum of Aperiodic Signals | |
| |
| |
| |
Relationship of the Fourier Transform to the z-Transform | |
| |
| |
| |
The Cepstrum | |
| |
| |
| |
The Fourier Transform of Signals with Poles on the Unit Circle | |
| |
| |
| |
Frequency-Domain Classification of Signals: The Concept of Bandwidth | |
| |
| |
| |
The Frequency Ranges of Some Natural Signals | |
| |
| |
| |
Frequency-Domain and Time-Domain Signal Properties | |
| |
| |
| |
Properties of the Fourier Transform for Discrete-Time Signals | |
| |
| |
| |
Symmetry Properties of the Fourier Transform | |
| |
| |
| |
Fourier Transform Theorems and Properties | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
Frequency-Domain Analysis of LTI Systems | |
| |
| |
| |
Frequency-Domain Characteristics of Linear Time-Invariant Systems | |
| |
| |
| |
Response to Complex Exponential and Sinusoidal Signals: The Frequency Response Function | |
| |
| |
| |
Steady-State and Transient Response to Sinusoidal Input Signals | |
| |
| |
| |
Steady-State Response to Periodic Input Signals | |
| |
| |
| |
Response to Aperiodic Input Signals | |
| |
| |
| |
Frequency Response of LTI Systems | |
| |
| |
| |
Frequency Response of a System with a Rational System Function | |
| |
| |
| |
Computation of the Frequency Response Function | |
| |
| |
| |
Correlation Functions and Spectra at the Output of LTI Systems | |
| |
| |
| |
Input-Output Correlation Functions and Spectra | |
| |
| |
| |
Correlation Functions and Power Spectra for Random Input Signals | |
| |
| |
| |
Linear Time-Invariant Systems as Frequency-Selective Filters | |
| |
| |
| |
Ideal Filter Characteristics | |
| |
| |
| |
Lowpass, Highpass, and Bandpass Filters | |
| |
| |
| |
Digital Resonators | |
| |
| |
| |
Notch Filters | |
| |
| |
| |
Comb Filters | |
| |
| |
| |
All-Pass Filters | |
| |
| |
| |
Digital Sinusoidal Oscillators | |
| |
| |
| |
Inverse Systems and Deconvolution | |
| |
| |
| |
Invertibility of Linear Time-Invariant Systems | |
| |
| |
| |
Minimum-Phase, Maximum-Phase, and Mixed-Phase Systems | |
| |
| |
| |
System Identification and Deconvolution | |
| |
| |
| |
Homomorphic Deconvolution | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
Sampling and Reconstruction of Signals | |
| |
| |
| |
Ideal Sampling and Reconstruction of Continuous-Time Signals | |
| |
| |
| |
Discrete-Time Processing of Continuous-Time Signals | |
| |
| |
| |
Analog-to-Digital and Digital-to-Analog Converters | |
| |
| |
| |
Analog-to-Digital Converters | |
| |
| |
| |
Quantization and Coding | |
| |
| |
| |
Analysis of Quantization Errors | |
| |
| |
| |
Digital-to-Analog Converters | |
| |
| |
| |
Sampling and Reconstruction of Continuous-Time Bandpass Signals | |
| |
| |
| |
Uniform or First-Order Sampling | |
| |
| |
| |
Interleaved or Nonuniform Second-Order Sampling | |
| |
| |
| |
Bandpass Signal Representations | |
| |
| |
| |
Sampling Using Bandpass Signal Representations | |
| |
| |
| |
Sampling of Discrete-Time Signals | |
| |
| |
| |
Sampling and Interpolation of Discrete-Time Signals | |
| |
| |
| |
Representation and Sampling of Bandpass Discrete-Time Signals | |
| |
| |
| |
Oversampling A/D and D/A Converters | |
| |
| |
| |
Oversampling A/D Converters | |
| |
| |
| |
Oversampling D/A Converters | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
The Discrete Fourier Transform: Its Properties and Applications | |
| |
| |
| |
Frequency-Domain Sampling: The Discrete Fourier Transform | |
| |
| |
| |
Frequency-Domain Sampling and Reconstruction of Discrete-Time Signals | |
| |
| |
| |
The Discrete Fourier Transform (DFT) | |
| |
| |
| |
The DFT as a Linear Transformation | |
| |
| |
| |
Relationship of the DFT to Other Transforms | |
| |
| |
| |
Properties of the DFT | |
| |
| |
| |
Periodicity, Linearity, and Symmetry Properties | |
| |
| |
| |
Multiplication of Two DFTs and Circular Convolution | |
| |
| |
| |
Additional DFT Properties | |
| |
| |
| |
Linear Filtering Methods Based on the DFT | |
| |
| |
| |
Use of the DFT in Linear Filtering | |
| |
| |
| |
Filtering of Long Data Sequences | |
| |
| |
| |
Frequency Analysis of Signals Using the DFT | |
| |
| |
| |
The Discrete Cosine Transform | |
| |
| |
| |
Forward DCT | |
| |
| |
| |
Inverse DCT | |
| |
| |
| |
DCT as an Orthogonal Transform | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
Efficient Computation of the DFT: Fast Fourier Transform Algorithms | |
| |
| |
| |
Efficient Computation of the DFT: FFT Algorithms | |
| |
| |
| |
Direct Computation of the DFT | |
| |
| |
| |
Divide-and-Conquer Approach to Computation of the DFT | |
| |
| |
| |
Radix-2 FFT Algorithms | |
| |
| |
| |
Radix-4 FFT Algorithms | |
| |
| |
| |
Split-Radix FFT Algorithms | |
| |
| |
| |
Implementation of FFT Algorithms | |
| |
| |
| |
Applications of FFT Algorithms | |
| |
| |
| |
Efficient Computation of the DFT of Two Real Sequences | |
| |
| |
| |
Efficient Computation of the DFT of a 2N-Point Real Sequence | |
| |
| |
| |
Use of the FFT Algorithm in Linear Filtering and Correlation | |
| |
| |
| |
A Linear Filtering Approach to Computation of the DFT | |
| |
| |
| |
The Goertzel Algorithm | |
| |
| |
| |
The Chirp-z Transform Algorithm | |
| |
| |
| |
Quantization Effects in the Computation of the DFT | |
| |
| |
| |
Quantization Errors in the Direct Computation of the DFT | |
| |
| |
| |
Quantization Errors in FFT Algorithms | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
Implementation of Discrete-Time Systems | |
| |
| |
| |
Structures for the Realization of Discrete-Time Systems | |
| |
| |
| |
Structures for FIR Systems | |
| |
| |
| |
Direct-Form Structure | |
| |
| |
| |
Cascade-Form Structures | |
| |
| |
| |
Frequency-Sampling Structures | |
| |
| |
| |
Lattice Structure | |
| |
| |
| |
Structures for IIR Systems | |
| |
| |
| |
Direct-Form Structures | |
| |
| |
| |
Signal Flow Graphs and Transposed Structures | |
| |
| |
| |
Cascade-Form Structures | |
| |
| |
| |
Parallel-Form Structures | |
| |
| |
| |
Lattice and Lattice-Ladder Structures for IIR Systems | |
| |
| |
| |
Representation of Numbers | |
| |
| |
| |
Fixed-Point Representation of Numbers | |
| |
| |
| |
Binary Floating-Point Representation of Numbers | |
| |
| |
| |
Errors Resulting from Rounding and Truncation | |
| |
| |
| |
Quantization of Filter Coefficients | |
| |
| |
| |
Analysis of Sensitivity to Quantization of Filter Coefficients | |
| |
| |
| |
Quantization of Coefficients in FIR Filters | |
| |
| |
| |
Round-Off Effects in Digital Filters | |
| |
| |
| |
Limit-Cycle Oscillations in Recursive Systems | |
| |
| |
| |
Scaling to Prevent Overflow | |
| |
| |
| |
Statistical Characterization of Quantization Effects in Fixed-Point Realizations of Digital Filters | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
Design of Digital Filters | |
| |
| |
| |
General Considerations | |
| |
| |
| |
Causality and Its Implications | |
| |
| |
| |
Characteristics of Practical Frequency-Selective Filters | |
| |
| |
| |
Design of FIR Filters | |
| |
| |
| |
Symmetric and Antisymmetric FIR Filters | |
| |
| |
| |
Design of Linear-Phase FIR Filters Using Windows | |
| |
| |
| |
Design of Linear-Phase FIR Filters by the Frequency-Sampling Method | |
| |
| |
| |
Design of Optimum Equiripple Linear-Phase FIR Filters | |
| |
| |
| |
Design of FIR Differentiators | |
| |
| |
| |
Design of Hilbert Transformers | |
| |
| |
| |
Comparison of Design Methods for Linear-Phase FIR Filters | |
| |
| |
| |
Design of IIR Filters From Analog Filters | |
| |
| |
| |
IIR Filter Design by Approximation of Derivatives | |
| |
| |
| |
IIR Filter Design by Impulse Invariance | |
| |
| |
| |
IIR Filter Design by the Bilinear Transformation | |
| |
| |
| |
Characteristics of Commonly Used Analog Filters | |
| |
| |
| |
Some Examples of Digital Filter Designs Based on the Bilinear Transformation | |
| |
| |
| |
Frequency Transformations | |
| |
| |
| |
Frequency Transformations in the Analog Domain | |
| |
| |
| |
Frequency Transformations in the Digital Domain | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
Multirate Digital Signal Processing | |
| |
| |
| |
Introduction | |
| |
| |
| |
Decimation by a Factor D | |
| |
| |
| |
Interpolation by a Factor I | |
| |
| |
| |
Sampling Rate Conversion by a Rational Factor I/D | |
| |
| |
| |
Implementation of Sampling Rate Conversion | |
| |
| |
| |
Polyphase Filter Structures | |
| |
| |
| |
Interchange of Filters and Downsamplers/Upsamplers | |
| |
| |
| |
Sampling Rate Conversion with Cascaded Integrator Comb Filters | |
| |
| |
| |
Polyphase Structures for Decimation and Interpolation Filters | |
| |
| |
| |
Structures for Rational Sampling Rate Conversion | |
| |
| |
| |
Multistage Implementation of Sampling Rate Conversion | |
| |
| |
| |
Sampling Rate Conversion of Bandpass Signals | |
| |
| |
| |
Sampling Rate Conversion by an Arbitrary Factor | |
| |
| |
| |
Arbitrary Resampling with Polyphase Interpolators | |
| |
| |
| |
Arbitrary Resampling with Farrow Filter Structures | |
| |
| |
| |
Applications of Multirate Signal Processing | |
| |
| |
| |
Design of Phase Shifters | |
| |
| |
| |
Interfacing of Digital Systems with Different Sampling Rates | |
| |
| |
| |
Implementation of Narrowband Lowpass Filters | |
| |
| |
| |
Subband Coding of Speech Signals | |
| |
| |
| |
Digital Filter Banks | |
| |
| |
| |
Polyphase Structures of Uniform Filter Banks | |
| |
| |
| |
Transmultiplexers | |
| |
| |
| |
Two-Channel Quadrature Mirror Filter Bank | |
| |
| |
| |
Elimination of Aliasing | |
| |
| |
| |
Condition for Perfect Reconstruction | |
| |
| |
| |
Polyphase Form of the QMF Bank | |
| |
| |
| |
Linear Phase FIR QMF Bank | |
| |
| |
| |
IIR QMF Bank | |
| |
| |
| |
Perfect Reconstruction Two-Channel FIR QMF Bank | |
| |
| |
| |
Two-Channel QMF Banks in Subband Coding | |
| |
| |
| |
M-Channel QMF Bank | |
| |
| |
| |
Alias-Free and Perfect Reconstruction Condition | |
| |
| |
| |
Polyphase Form of the M-Channel QMF Bank | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
Linear Prediction and Optimum Linear Filters | |
| |
| |
| |
Random Signals, Correlation Functions, and Power Spectra | |
| |
| |
| |
Random Processes | |
| |
| |
| |
Stationary Random Processes | |
| |
| |
| |
Statistical (Ensemble) Averages | |
| |
| |
| |
Statistical Averages for Joint Random Processes | |
| |
| |
| |
Power Density Spectrum | |
| |
| |
| |
Discrete-Time Random Signals | |
| |
| |
| |
Time Averages for a Discrete-Time Random Process | |
| |
| |
| |
Mean-Ergodic Process | |
| |
| |
| |
Correlation-Ergodic Processes | |
| |
| |
| |
Innovations Representation of a Stationary Random Process | |
| |
| |
| |
Rational Power Spectra | |
| |
| |
| |
Relationships Between the Filter Parameters and the Autocorrelation Sequence | |
| |
| |
| |
Forward and Backward Linear Prediction | |
| |
| |
| |
Forward Linear Prediction | |
| |
| |
| |
Backward Linear Prediction | |
| |
| |
| |
The Optimum Reflection Coefficients for the Lattice Forward and Backward Predictors | |
| |
| |
| |
Relationship of an AR Process to Linear Prediction | |
| |
| |
| |
Solution of the Normal Equations | |
| |
| |
| |
The Levinson-Durbin Algorithm | |
| |
| |
| |
The Schur Algorithm | |
| |
| |
| |
Properties of the Linear Prediction-Error Filters | |
| |
| |
| |
AR Lattice and ARMA Lattice-Ladder Filters | |
| |
| |
| |
AR Lattice Structure | |
| |
| |
| |
ARMA Processes and Lattice-Ladder Filters | |
| |
| |
| |
Wiener Filters for Filtering and Prediction | |
| |
| |
| |
FIR Wiener Filter | |
| |
| |
| |
Orthogonality Principle in Linear Mean-Square Estimation | |
| |
| |
| |
IIR Wiener Filter | |
| |
| |
| |
Noncausal Wiener Filter | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
Adaptive Filters | |
| |
| |
| |
Applications of Adaptive Filters | |
| |
| |
| |
System Identification or System Modeling | |
| |
| |
| |
Adaptive Channel Equalization | |
| |
| |
| |
Echo Cancellation in Data Transmission over Telephone Channels | |
| |
| |
| |
Suppression of Narrowband Interference in a Wideband Signal | |
| |
| |
| |
Adaptive Line Enhancer | |
| |
| |
| |
Adaptive Noise Cancelling | |
| |
| |
| |
Linear Predictive Coding of Speech Signals | |
| |
| |
| |
Adaptive Arrays | |
| |
| |
| |
Adaptive Direct-Form FIR Filters-The LMS Algorithm | |
| |
| |
| |
Minimum Mean-Square-Error Criterion | |
| |
| |
| |
The LMS Algorithm | |
| |
| |
| |
Related Stochastic Gradient Algorithms | |
| |
| |
| |
Properties of the LMS Algorithm | |
| |
| |
| |
Adaptive Direct-Form Filters-RLS Algorithms | |
| |
| |
| |
RLS Algorithm | |
| |
| |
| |
The LDU Factorization and Square-Root Algorithms | |
| |
| |
| |
Fast RLS Algorithms | |
| |
| |
| |
Properties of the Direct-Form RLS Algorithms | |
| |
| |
| |
Adaptive Lattice-Ladder Filters | |
| |
| |
| |
Recursive Least-Squares Lattice-Ladder Algorithms | |
| |
| |
| |
Other Lattice Algorithms | |
| |
| |
| |
Properties of Lattice-Ladder Algorithms | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
Power Spectrum Estimation | |
| |
| |
| |
Estimation of Spectra from Finite-Duration Observations of Signals | |
| |
| |
| |
Computation of the Energy Density Spectrum | |
| |
| |
| |
Estimation of the Autocorrelation and Power Spectrum of Random Signals: The Periodogram | |
| |
| |
| |
The Use of the DFT in Power Spectrum Estimation | |
| |
| |
| |
Nonparametric Methods for Power Spectrum Estimation | |
| |
| |
| |
The Bartlett Method: Averaging Periodograms | |
| |
| |
| |
The Welch Method: Averaging Modified Periodograms | |
| |
| |
| |
The Blackman and Tukey Method: Smoothing the Periodogram | |
| |
| |
| |
Performance Characteristics of Nonparametric Power Spectrum Estimators | |
| |
| |
| |
Computational Requirements of Nonparametric Power Spectrum Estimates | |
| |
| |
| |
Parametric Methods for Power Spectrum Estimation | |
| |
| |
| |
Relationships Between the Autocorrelation and the Model Parameters | |
| |
| |
| |
The Yule-Walker Method for the AR Model Parameters | |
| |
| |
| |
The Burg Method for the AR Model Parameters | |
| |
| |
| |
Unconstrained Least-Squares Method for the AR Model Parameters | |
| |
| |
| |
Sequential Estimation Methods for the AR Model Parameters | |
| |
| |
| |
Selection of AR Model Order | |
| |
| |
| |
MA Model for Power Spectrum Estimation | |
| |
| |
| |
ARMA Model for Power Spectrum Estimation | |
| |
| |
| |
Some Experimental Results | |
| |
| |
| |
Filter Bank Methods | |
| |
| |
| |
Filter Bank Realization of the Periodogram | |
| |
| |
| |
Minimum Variance Spectral Estimates | |
| |
| |
| |
Eigenanalysis Algorithms for Spectrum Estimation | |
| |
| |
| |
Pisarenko Harmonic Decomposition Method | |
| |
| |
| |
Eigen-decomposition of the Autocorrelation Matrix for Sinusoids in White Noise | |
| |
| |
| |
MUSIC Algorithm | |
| |
| |
| |
ESPRIT Algorithm | |
| |
| |
| |
Order Selection Criteria | |
| |
| |
| |
Experimental Results | |
| |
| |
| |
Summary and References | |
| |
| |
Problems | |
| |
| |
| |
Random Number Generators | |
| |
| |
| |
Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters | |
| |
| |
References and Bibliography | |
| |
| |
Answers to Selected Problems | |
| |
| |
Index | |