Taking a pedagogical approach, the author builds a solid foundation in signal processing as well as analog and digital systems. The book first introduces orthogonal signals, linear and time-invariant continuous-time systems, discrete-type systems and their solution, periodic signals represented by Fourier series, Gibbs's phenomenon, and the sampling theorem. After chapters on various transforms, the book discusses analog filter design, both finite and infinite impulse response digital filters, random digital signal processing, including the nonparametric spectral estimation. The final chapter characterizes different types of filtering and their uses, specifically, the use of Wiener filtering and least mean squares filtering.

This text is intended to serve, at its most expansive, as a two-semester course in the electrical engineering of analog and digital signals and systems. Utilizing examples from chemical engineering, mechanical engineering, biomedical engineering, process control, economics, heat transfer, and other areas in order to demonstrate the wide applicability of the material and methods, the text's 14 chapters cover signals and the functional representation; linear continuous- time systems; discrete systems; periodic continuous signals and their spectrums; nonperiodic signals and their Fourier transform; sampling of continuous signals; discrete-time transforms; Laplace transform; the z-transform, difference equations, and discrete systems; analog filter design; finite impulse response filters; infinite impulse response filters; random variables, sequences, and power spectra; and least square system design, Wiener filter, and the least mean square filter. The mathematical results are produced using MATLAB functions and m-files. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com)

Taking a pedagogical approach, the author builds a solid foundation in signal processing as well as analog and digital systems. The book first introduces orthogonal signals, linear and time-invariant continuous-time systems, discrete-type systems and their solution, periodic signals represented by Fourier series, Gibbs's phenomenon, and the sampling theorem. After chapters on various transforms, the book discusses analog filter design, both finite and infinite impulse response digital filters, random digital signal processing, including the nonparametric spectral estimation. The final chapter characterizes different types of filtering and their uses, specifically, the use of Wiener filtering and least mean squares filtering.