Digital Signal Processing Using Matlab® by Robert J. SchillingDigital Signal Processing Using Matlab® by Robert J. Schilling

Digital Signal Processing Using Matlab®

byRobert J. Schilling, Sandra L Harris

Hardcover | January 1, 2016

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Focus on the development, implementation, and application of modern DSP techniques with DIGITAL SIGNAL PROCESSING USING MATLAB®, 3E. Written in an engaging, informal style, this edition immediately captures your attention and encourages you to explore each critical topic. Every chapter starts with a motivational section that highlights practical examples and challenges that you can solve using techniques covered in the chapter. Each chapter concludes with a detailed case study example, a chapter summary with learning outcomes, and practical homework problems cross-referenced to specific chapter sections for your convenience. DSP Companion software accompanies each book to enable further investigation. The DSP Companion software operates with MATLAB® and provides intriguing demonstrations as well as interactive explorations of analysis and design concepts.
Robert J. Schilling is Professor Emeritus of Electrical and Computer Engineering at Clarkson University. Dr. Schilling's teaching interests include digital signal processing, control systems, robotics, nonlinear systems, computer graphics, and C++ and MATLAB® programming. His research interests encompass adaptive signal processing, non...
Title:Digital Signal Processing Using Matlab®Format:HardcoverDimensions:10.1 × 8.2 × 1.4 inPublished:January 1, 2016Publisher:Thomson-Engineering (NelsLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1305635191

ISBN - 13:9781305635197

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Table of Contents

PART I: SIGNAL AND SYSTEM ANALYSIS.1. Signal Processing.Motivation. Digital and Analog Processing. Total Harmonic Distortion (THD). A Notch Filter. Active Noise Control. Video Aliasing. Signals and Systems. Signal Classification. System Classification. Sampling of Continuous-time Signals. Sampling as Modulation. Aliasing. Reconstruction of Continuous-time Signals. Reconstruction Formula. Zero-order Hold. Delayed First-order Hold. Prefilters and Postfilters. Anti-aliasing Filter. Anti-imaging Filter. DAC and ADC Circuits. Digital-to-analog Conversion (DAC). Analog-to-digital Conversion (ADC). DSP Companion. Installation. Menu Options. GUI Modules. Functions. GUI Modules and Case Studies. Chapter Summary. Problems. Analysis. GUI Simulation. MATLAB® Computation.2. Discrete-Time Systems in the Time Domain.Motivation. Home Mortgage. Range Measurement with Radar. Discrete-time Signals. Signal Classification. Common Signals. Discrete-time Systems. Difference Equations. Zero-input response. Zero-state response. Block Diagrams. The Impulse Response. FIR Systems. IIR Systems. Convolution. Linear Convolution. Circular Convolution. Zero Padding. Deconvolution. Polynomial Arithmetic. Correlation. Linear Cross-correlation. Circular Cross-correlation. Stability in the Time Domain. GUI Modules and Case Studies. Chapter Summary. Problems. Analysis. GUI Simulation. MATLAB® Computation.3. Discrete-time Systems in the Frequency Domain.Motivation. Satellite Attitude Control. Modeling the Vocal Tract. Z-transform Pairs. Region of Convergence. Common Z-transform Pairs. Z-transform Properties. General Properties. Causal Properties. Inverse Z-transform. Noncausal Signals. Synthetic Division. Partial Fractions. Residue Method. Transfer Functions. The Transfer Function. Zero-state Response. Poles, Zeros, and Modes.DC Gain. Signal Flow Graphs. Stability in the Frequency Domain. Input-output Representation. BIBO Stability. The Jury Test. Frequency Response. Frequency Response. Sinusoidal Inputs. Periodic Inputs. System Identification. Least-squares Fit. Persistently Exciting Inputs. GUI Modules and Case Studies. Chapter Summary. Problems. Analysis. GUI Simulation. MATLAB® Computation.4. Fourier Transforms and Spectral Analysis.Motivation. Fourier Series. DC Wall Transformer. Frequency Response. Discrete-time Fourier Transform (DTFT). DTFT. Properties of the DTFT. The Discrete Fourier Transform (DFT). DFT. Matrix Formulation. Fourier Series and Discrete Spectra. DFT Properties. Fast Fourier Transform (FFT). Decimation in Time FFT. FFT Computational Effort. Alternative FFT Implementations. Fast Convolution and Correlation. Fast Convolution. Fast Block Convolution. Fast Correlation. White Noise. Uniform White Noise. Gaussian White Noise. Auto-correlation. Auto-correlation of White Noise. Power Density Spectrum. Extracting Periodic Signals from Noise. Zero Padding and Spectral Resolution. Frequency Response using the DFT. Zero Padding. Spectral Resolution. The Spectrogram. Data Windows. Spectrogram. Power Density Spectrum Estimation. Bartlett's Method. Welch's Method. GUI Modules and Case Studies. Chapter Summary. Problems. Analysis. GUI Simulation. MATLAB® Computation.Part II: Filter Design.5. Filter Types and Characteristics.Motivation. Filter Design Specifications. Filter Realization Structures. Frequency-selective Filters. Linear Design Specifications. Logarithmic Design Specifications (dB). Linear-phase Filters. Group Delay. Amplitude Response. Linear-phase Zeros. Zero-phase Filters. Minimum-phase and Allpass Filters. Minimum-phase Filters. Allpass Filters. Inverse Systems and Equalization. Quadrature Filters. Differentiator. Hilbert Transformer. Digital Oscillator. Notch Filters and Resonators. Notch Filters. Resonators. Narrowband Filters and Filter Banks. Narrowband Filters. Filter Banks. Adaptive Filters. Transversal Filters. Pseudo-filters. GUI Modules and Case Studies. Chapter Summary. Problems. Analysis. GUI Simulation. MATLAB® Computa