Nowadays, many aspects of electrical and electronic engineering are essentially applications of DSP. This is due to the focus on processing information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing are introduced with theory, analytical tables, and applications with simulation tools. The book provides a collection of solved problems on digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables throughout the book, so the reader can solve practical problems on signal processing quickly and efficiently.
FEATURES
Explains how applications of DSP can be implemented in certain programming environments designed for real time systems, ex. biomedical signal analysis and medical image processing.
Pairs theory with basic concepts and supporting analytical tables.
Includes an extensive collection of solved problems throughout the text.
Fosters the ability to solve practical problems on signal processing without focusing on extended theory.
Covers the modeling process and addresses broader fundamental issues.
Nowadays, many aspects of electrical and electronic engineering are essentially applications of DSP. This is due to the focus on processing information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing are introduced with theory, analytical tables, and applications with simulation tools. The book provides a collection of solved problems on digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables throughout the book, so the reader can solve practical problems on signal processing quickly and efficiently.
FEATURES
Explains how applications of DSP can be implemented in certain programming environments designed for real time systems, ex. biomedical signal analysis and medical image processing.
Pairs theory with basic concepts and supporting analytical tables.
Includes an extensive collection of solved problems throughout the text.
Fosters the ability to solve practical problems on signal processing without focusing on extended theory.
Covers the modeling process and addresses broader fundamental issues.
This new text responds to the dramatic growth in digital signal processing (DSP) over the past decade, and is the product of many years of teaching an advanced DSP course at Georgia Tech. While the...
The latest, completely revised edition of this highly successful volume outlines the techniques for the digital processing of signals (DSP) providing a clear discussion of the technical problems...
This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved. Signal processing...
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