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| Signal Processing Motivation | |
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| Signals and Systems | |
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| Signal Sampling | |
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| Signal Reconstruction | |
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| Prefilters and Postfilters | |
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| Conversion Circuits | |
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| The FDSP Toolbox | |
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| Software Applications | |
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| Chapter Summary | |
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| Problems | |
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| Discrete-Time System Analysis Motivation | |
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| Z-Transform Pairs | |
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| Z-Transform Properties | |
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| Inverse Z-Transform | |
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| Transfer Functions | |
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| Signal Flow Graphs | |
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| The Impulse Response and Convolution | |
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| Stability | |
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| Frequency Response | |
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| Software Applications | |
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| Chapter Summary | |
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| Problems | |
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| The DFT and Spectral Analysis Motivation | |
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| The Discrete-Time Fourier Transform | |
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| The Discrete Fourier Transform | |
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| DFT Properties | |
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| The Fast Fourier Transform | |
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| White Noise | |
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| Discrete-Time Frequency Response | |
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| Zero Padding | |
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| Power Density Spectrum Estimation | |
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| The Spectrogram | |
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| Software Applications | |
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| Chapter Summary | |
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| Problems | |
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| Convolution and Correlation Motivation | |
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| Convolution | |
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| Fast Convolution | |
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| Cross-Correlation | |
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| Fast Correlation | |
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| Auto-Correlation | |
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| Extracting Periodic Signals from Noise | |
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| Software Applications | |
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| Chapter Summary | |
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| Problems | |
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| Filter Specifications and Structures Motivation | |
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| Filter Design Specifications | |
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| Linear-Phase Filters | |
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| Minimum-Phase and Allpass Filters | |
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| FIR Filter Realization Structures | |
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| IIR Filter Realization Structures | |
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| FIR Finite Word Length Effects | |
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| IIR Finite Word Length Effects | |
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| Software Applications | |
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| Chapter Summary | |
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| Problems | |
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| FIR Filter Design Motivation | |
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| Windowing Method | |
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| Frequency Sampling Method | |
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| Least Squares Method | |
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| Optimal Equiripple Method | |
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| Differentiators and Hilbert Transformers | |
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| Software Applications | |
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| Chapter Summary | |
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| Problems | |
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| Multirate Signal Processing Motivation | |
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| Integer Decimators and Interpolators | |
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| Rational Sampling Rate Converters | |
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| Multirate Filter Realization Structures | |
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| Subband Processing | |
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| Oversampling ADC | |
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| Oversampling DAC | |
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| Software Applications | |
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| Chapter Summary | |
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| Problems | |
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| IIR Filter Design Motivation | |
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| Filter Design by Pole-Zero Placement | |
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| Filter Design Parameters | |
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| Classical Analog Filters | |
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| Bilinear Transformation Method | |
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| Frequency Transformations | |
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| Software Applications | |
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| Chapter Summary | |
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| Problems | |
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| Adaptive Signal Processing Motivation | |
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| Mean Square Error | |
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| The Least Mean Square | |
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| Performance Analysis of the LMS Method | |
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| Modified LMS Methods | |
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| Adaptive FIR Filter Design | |
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| The Recursive Least Squares | |
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| Active Noise Control | |
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| Nonlinear System Identification | |
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| Software Applications | |
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| Chapter Summary | |
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| Problems Appendices: | |
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| MATLAB Workspace | |
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| Variables and Initialization | |
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| Mathematical Operators | |
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| Input and Output | |
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| Branching and Loops | |
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| Built-In Functions | |
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| User-Defined Functions | |
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| GUIs | |
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| FDSP Toolbox Installation | |
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| Driver Module f_dsp | |
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| Chapter GUI Modules | |
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| FDSP Toolbox Functions | |
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| Transform Tables Fourier Series | |
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| Fourier Transform | |
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| Laplace Transform | |
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| Z-Transform | |
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| Discrete-Time Fourier Transform | |
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| Mathematical Identifies Complex Numbers | |
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| Euler's Identity | |
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| Trigonometric Identities | |
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| Inequalities | |