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Introduction to Digital Signal Processing and Filter Design provides a thorough introduction to the subject of digital signal processing, with emphasis on fundamental concepts and applications of discrete-time systems, and the synthesis of these systems to meet specification in the time and frequency domains. Topics covered include characterization of discrete time signals and systems, linear difference equations, solutions by recursive algorithms, convolution, time domain analysis, sampling theory, frequency domain analysis, discrete Fourier series, design of FIR and IIR filters, and…mehr

Produktbeschreibung
Introduction to Digital Signal Processing and Filter Design provides a thorough introduction to the subject of digital signal processing, with emphasis on fundamental concepts and applications of discrete-time systems, and the synthesis of these systems to meet specification in the time and frequency domains. Topics covered include characterization of discrete time signals and systems, linear difference equations, solutions by recursive algorithms, convolution, time domain analysis, sampling theory, frequency domain analysis, discrete Fourier series, design of FIR and IIR filters, and practical methods for hardware implementation.
A practical and accessible guide to understanding digital signal processing

Introduction to Digital Signal Processing and Filter Design was developed and fine-tuned from the author's twenty-five years of experience teaching classes in digital signal processing. Following a step-by-step approach, students and professionals quickly master the fundamental concepts and applications of discrete-time signals and systems as well as the synthesis of these systems to meet specifications in the time and frequency domains. Striking the right balance between mathematical derivations and theory, the book features:
_ Discrete-time signals and systems
_ Linear difference equations
_ Solutions by recursive algorithms
_ Convolution
_ Time and frequency domain analysis
_ Discrete Fourier series
_ Design of FIR and IIR filters
_ Practical methods for hardware implementation

A unique feature of this book is a complete chapter on the use of a MATLAB(r) tool, known as the FDA (Filter Design and Analysis) tool, to investigate the effect of finite word length and different formats of quantization, different realization structures, and different methods for filter design. This chapter contains material of practical importance that is not found in many books used in academic courses. It introduces students in digital signal processing to what they need to know to design digital systems using DSP chips currently available from industry.

With its unique, classroom-tested approach, Introduction to Digital Signal Processing and Filter Design is the ideal text for students in electrical and electronic engineering, computer science, and applied mathematics, and an accessible introduction or refresher for engineers and scientists in the field.
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Autorenporträt
B. A. SHENOI, PHD, is Professor, Department of Electrical Engineering, Wright State University. Dr. Shenoi is internationally recognized for his research in active and digital filter theory and has published more than fifty papers on that topic in professional journals. He is a Life Fellow of the IEEE, a recipient of the Golden Jubilee Medal from the IEEE Circuits and Systems Society, and a recipient of the IEEE's Third Millennium Gold Medal.
Rezensionen
"...an attractive and easy-to-understand handbook for students, and a helpful guide for engineers working in the digital signal processing field." ( Computing Reviews.com , June 20, 2006)
"...a good introduction to digital signal processing and filter design...there are many examples presented together with other exercises, as well as MATLAB implementations." ( CHOICE , April 2006)

"...this is a good introductory digital filter design book. It could be recommended to those seeking initial acquaintance with this topic." ( Computing Reviews.com , January 23, 2006)