Electronic Circuits with MATLAB, PSpice, and Smith Chart

Won Y. Yang

Jaekwon Kim

Kyung W. Park

Donghyun Baek

Sungjoon Lim

Jingon Joung

Suhyun Park

Han L. Lee

Woo June Choi

Taeho Im

wiley

Signals and Systems with MATLAB

<p>This book is primarily intended for junior-level students who take the courses on ‘signals and systems’. It may be useful as a reference text for practicing engineers and scientists who want to acquire some of the concepts required for signal proce- ing. The readers are assumed to know the basics about linear algebra, calculus (on complex numbers, differentiation, and integration), differential equations, Laplace R transform, and MATLAB . Some knowledge about circuit systems will be helpful. Knowledge in signals and systems is crucial to students majoring in Electrical Engineering. The main objective of this book is to make the readers prepared for studying advanced subjects on signal processing, communication, and control by covering from the basic concepts of signals and systems to manual-like introduc- R R tions of how to use the MATLAB and Simulink tools for signal analysis and lter design. The features of this book can be summarized as follows: 1. It not only introduces the four Fourier analysis tools, CTFS (continuous-time Fourier series), CTFT (continuous-time Fourier transform), DFT (discrete-time Fourier transform), and DTFS (discrete-time Fourier series), but also illuminates the relationship among them so that the readers can realize why only the DFT of the four tools is used for practical spectral analysis and why/how it differs from the other ones, and further, think about how to reduce the difference to get better information about the spectral characteristics of signals from the DFT analysis.</p>

Computers & Technology

Computer Science

Springer

Matlab/simulink for digital signal processing

MATLAB/SIMULINK for DIGITAL SIGNAL PROCESSING [Paperback] Won,Y.Yang

Tbh/Yes Dee

<p>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</p>

MATLAB/Simulink for Digital Signal Processing

Yong S. Cho

Chang Y. Choo

Hardware & DIY

Hongrung Publishing Company

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Books by Won Y. Yang