MATLAB/Simulink for Digital Signal Processing

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9788972839989: MATLAB/Simulink for Digital Signal Processing
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Chapter 1: Fourier Analysis 1.1 CTFS, CTFT, DTFT, AND DFS/DFT 1.2 SAMPLING THEOREM 1.3 FAST FOURIER TRANSFORM 1.4 INTERPRETATION OF DFT RESULTS 1.5 EFFECTS OF SIGNAL OPERATIONS ON DFT SPECTRUM 1.6 SHORT-TIME FOURIER TRANSFORM - STFT Chapter 2: System Function, Impulse Response, and Frequency Response 2.1 THE INPUT-OUTPUT RELATIONSHIP OF A DISCRETE-TIME LTI SYSTEM 2.2 COMPUTATION OF LINEAR CONVOLUTION USING DFT 2.3 PHYSICAL MEANING OF SYSTEM FUNCTION AND FREQUENCY RESPONSE Chapter 3: Correlation and Power Spectrum 3.1 CORRELATION SEQUENCE 3.2 POWER SPECTRAL DENSITY 3.3 POWER SPECTRUM, FREQUENCY RESPONSE, AND COHERENCE 3.4 COMPUTATION OF CORRELATION USING DFT Chapter 4: Digital Filter Structure 4.1 INTRODUCTION 4.2 DIRECT STRUCTURE 4.3 LATTICE STRUCTURE 4.4 LINEAR-PHASE FIR STRUCTURE 4.5 FREQUENCY-SAMPLING STRUCTURE 4.6 FILTER STRUCTURES IN MATLAB Chapter 5: Filter Design 5.1 ANALOG FILTER DESIGN 5.2 DISCRETIZATION OF ANALOG FILTER 5.3 DIGITAL FILTER DESIGN 5.4 FDATOOL 5.5 FINITE WORDLENGTH EFFECT 5.6 FILTER DESIGN TOOLBOX Chapter 6: Spectral Estimation 6.1 CLASSICAL SPECTRAL ESTIMATION 6.2 MODERN SPECTRAL ESTIMATION 6.3 SPTOOL Chapter 7: DoA Estimation 7.1 BEAMFORMING AND NULL STEERING 7.2 CONVENTIONAL METHODS FOR DOA ESTIATION 7.3 SUBSPACE METHODS FOR DOA ESTIATION 7.4 SPATIAL SMOOTHING TECHNIQUES Chapter 8: Kalman Filter and Wiener Filter 8.1 DISCRETE-TIME KALMAN FILTER 8.2 DISCRETE-TIME WIENER FILTER Chapter 9: Adaptive Filter 9.1 OPTIMAL FIR FILTER 9.2 ADAPTIVE FILTER 9.3 MORE EXAMPLES OF ADAPTIVE FILTER 9.4 RECURSIVE LEAST-SQUARES ESTIMATION Chapter 10: Multi-Rate Signal Processing and Wavelet Transform 10.1 MULTIRATE FILTER 10.2 TWO-CHANNEL FILTER BANK 10.3 M-CHANNEL FILTER BANK 10.4 WAVELET TRANSFORM Chapter 11: Two-Dimensional Filtering 11.1 DIGITAL IMAGE TRANSFORM 11.2 DIGITAL IMAGE FILTERING

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