Digital Signal Processing with Examples in MATLAB

Samuel D. Stearns, Donald R. Hush (Autoren)

Buch | Hardcover

510 Seiten

2011 | 2nd edition
Crc Press Inc (Verlag)
978-1-4398-3782-5 (ISBN)

Artikel merken

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of application areas, including engineering, communications, geophysics, computer science, information technology, medicine, and biometrics.

Updated and expanded, Digital Signal Processing with Examples in MATLAB®, Second Edition introduces the basic aspects of signal processing and presents the fundamentals of DSP. It also relates DSP to continuous signal processing, rather than treating it as an isolated operation.

New to the Second Edition

Discussion of current DSP applications
New chapters on analog systems models and pattern recognition using support vector machines
New sections on the chirp z-transform, resampling, waveform reconstruction, discrete sine transform, and logarithmic and nonuniform sampling
A more comprehensive table of transforms

Developing the fundamentals of DSP from the ground up, this bestselling text continues to provide readers with a solid foundation for further work in most areas of signal processing. For novices, the authors review the basic mathematics required to understand DSP systems and offer a brief introduction to MATLAB. They also include end-of-chapter exercises that not only provide examples of the topics discussed, but also introduce topics and applications not covered in the chapters.

Samuel D. Stearns is a professor emeritus at the University of New Mexico, where has been involved in adjunct teaching and research since 1960. An IEEE fellow, Dr. Stearns was also a distinguished member of the technical staff at Sandia National Laboratories for 27 years. His principal technical areas are DSP and adaptive signal processing. Don R. Hush is a technical staff member at the Los Alamos National Laboratory. An IEEE senior member, Dr. Hush was previously a technical staff member at Sandia National Laboratories and a professor at the University of New Mexico. He was also an associate editor for IEEE Transactions on Neural Networks and IEEE Signal Processing Magazine.

Introduction. Least Squares, Orthogonality, and the Fourier Series. Correlation, Fourier Spectra, and the Sampling Theorem. Linear Systems and Transfer Functions. Finite Impulse Response Filter Design. Infinite Impulse Response Filter Design. Random Signals and Spectral Estimation. Least-Squares System Design. Adaptive Signal Processing. Signal Information, Coding, and Compression. Models of Analog Systems. Pattern Recognition with Support Vector Machines. Appendix. Index.

Erscheint lt. Verlag	14.4.2011
Reihe/Serie	Electrical Engineering & Applied Signal Processing Series
Zusatzinfo	16 Tables, black and white; 268 Illustrations, black and white
Verlagsort	Bosa Roca
Sprache	englisch
Maße	156 x 234 mm
Gewicht	839 g
Themenwelt	Mathematik / Informatik ► Informatik
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Nachrichtentechnik
ISBN-10	1-4398-3782-1 / 1439837821
ISBN-13	978-1-4398-3782-5 / 9781439837825
Zustand	Neuware