Overview
Digital signal processing lies at the heart of the communications revolution and is an essential element of key technologies such as mobile phones and the Internet. This book covers all the major topics in digital signal processing (DSP) design and analysis, supported by MATLAB examples and other modeling techniques. The authors explain clearly and concisely why and how to use digital signal processing systems; how to approximate a desired transfer function characteristic using polynomials and ratios of polynomials; why an appropriate mapping of a transfer function onto a suitable structure is important for practical applications; and how to analyze, represent, and explore the trade-off between time and frequency representation of signals. An ideal textbook for students, it will also be a useful reference for engineers working on the development of signal processing systems.Synopsis
This book covers all the major topics in digital signal processing (DSP) design and analysis.
Booknews
The authors (all from the Department of Electronics and Computer Engineering at the Federal U. of Rio de Janeiro, Brazil) cover the major topics in digital signal processing design and analysis. Chapters cover discrete-time systems, the and Fourier transforms, discrete transforms, digital filters, FIR filter approximations, IIR filter approximations, finite-precision effects, multirate systems, filter banks and wavelets, efficient FIR and IIR structures, and implementation of DSP systems. The explanations are supported by MATLAB examples and other modeling techniques. Undergraduates who have previous exposure to basic discrete-time linear systems are the assumed audience. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Editorials
The authors (all from the Department of Electronics and Computer Engineering at the Federal U. of Rio de Janeiro, Brazil) cover the major topics in digital signal processing design and analysis. Chapters cover discrete-time systems, the and Fourier transforms, discrete transforms, digital filters, FIR filter approximations, IIR filter approximations, finite-precision effects, multirate systems, filter banks and wavelets, efficient FIR and IIR structures, and implementation of DSP systems. The explanations are supported by MATLAB examples and other modeling techniques. Undergraduates who have previous exposure to basic discrete-time linear systems are the assumed audience. Annotation c. Book News, Inc., Portland, OR (booknews.com)
From the Publisher
From the first edition: 'This textbook covers, clearly and concisely, the core material of a DSP course … it is suitable as the main text for an undergraduate DSP course or for a short course for practising engineers.' Times Higher Education SupplementFrom the first edition: 'An ideal textbook for students, it will also be a useful reference for engineers working on the development of signal processing systems … An excellent authorship and an equally excellent editorial content and planning of the subject matter have helped to make the book an ideal acquisition for readers passionately devoted to the task of equipping themselves with tools that will enable them to design and analyze most digital signal processing systems.' Current Engineering Practice
From the first edition: 'This single, comprehensive volume covers all the major topics …' Poptronics