Digital signal processing using MATLAB : a problem solving companion / Vinay K. Ingle, John G. Proakis

Includes bibliographical references.

Table of Contents. – Ch. 1 Overview of digital signal processing - - A brief introduction to MATLAB - - Applications of Digital signal processing. – Ch. 2 Discrete-Time signals and systems - - Discrete-time signals - - Discrete systems - - Convolution - - Difference equations - - Problems. – Ch. 3 The Discrete time Fourier analysis - - The discrete-time fourier transform - - The properties of the DTFT - - The frequency domain representation. – Ch. 4 The Transform - - The bilateral transform - - The Inversion of the transform. – Ch. 5 The discrete fourier transform - - The discrete fourier series - - Sampling and reconstruction in the domain - - Linear convolution using the DFT. – Ch. 5 Implementation of discrete time filters - - Basic elements - - IIR filter structures - - FIR Filter structures - - The Process of Quantization and error characterizations - - Quantization of filter coefficients. – Ch. 7 FIR Filter design - - Properties of Linear-phase FIR filters - - Window design techniques - - Frequency-sampling design techniques - - Optimal equiripple design techniques. – Ch. 8 IIR Filter design - - Some special filter types - - Characteristics of prototypes analog filters - - Analog-to-Digital filter transformations - - Low pass filter design using MATLAB. – Ch. 9 Sampling rate conversion - - Decimation by a factor - - Interpolation by a factor. – Ch. 10 Round-Off effects in digital filters - - Analysis of A/D Quantization noise - - Round off effects in IIR Digital filter - - Round off effects in FIR Digital filter. – Ch. 11 Applications in adaptive filtering - - LMS Algorithm for coefficient adjustment - - System identification or system modeling - - Suppression of Narrowband interference in a wideband signal - - Adaptive line enhancement - - Adaptive channel equalization. – Ch. 12 Applications in communications - - Pulse-code modulation - - Differential PCM (DPCM) - - Adaptive PCM and DPCM (ADPCM) - - Delta modulation (DM) - - Linear predictive coding (LPC) of speech - - Binary digital communication. – Ch. 13 Random processes - - Random variables - - Random signals - - Power spectral density - - Stationary random processes through LTI systems. – Ch. 14 Linear prediction and optimum linear filters - - Innovations representation of a stationary random process - - Forward and backward linear prediction - - Solution of the normal equations - - Properties of the linear prediction-error filters - - AR Lattice and ARMA Lattice-ladder filters. – Ch. 15 Adaptive filters - - Applications of adaptive filters - - Adaptive direct-form FIR filters.