Digital Signal Processing Fundamentals and Applications

ISBN-10: 0124158935

ISBN-13: 9780124158931

Edition: 2nd 2013

Authors: Li Tan, Jean Jiang
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Description: This textbook presents digital signal processing (DSP) principles, applications, and hardware implementation issues, emphasizing achievable results and conclusions through the presentation of numerous worked examples, while reducing the use of mathematics for an easier grasp of the concepts. This text gives students in electronics, computer engineering and bioengineering an understanding of essential DSP principles and implementation, demonstrating how the subject is fundamental to engineering as practiced today. Covers DSP principles with emphasis on applications to communications and control.Discusses implementation of DSP algorithms in hardware and softwareChapter Objectives, worked examples, and end of chapter exercises aid the reader in grasping key concepts and solving related problemsWebsite with MATLAB programs for simulation and C programs for real-time DSP New to this Edition: MATLAB projects dealing with practical applications added throughout the bookNew chapter (chapter 13) covering subband coding and wavelet transforms, methods that have become popular in the  DSP fieldNew applications included in many chapters, including applications of DFT to seismic signals, electrocardiography data, and vibration signalsAll real-time C programs revised for the TMS320C6713 DSK

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Book details

List price: $99.95
Edition: 2nd
Copyright year: 2013
Publisher: Elsevier Science & Technology Books
Publication date: 2/8/2013
Binding: Hardcover
Pages: 896
Size: 7.50" wide x 9.25" long x 2.00" tall
Weight: 4.708
Language: English

Intro to DSP
Signal Sampling and Quantization
Digital Signals and Systems
Discrete Fourier Transforms and Signal Spectra
The Z-Transform
DSP Systems, Basic Filtering Type, and Digital Filter Realizations
Finite Impulse Response Filter Design
Infinite Impulse Response Filter Design
Hardware and Software for Digital Signal Processors
Adaptive Filters and Applications
Waveform Quantization and Compression Multirate Digital Signal Processing, Oversampling ADC Conversion, and UnderSampling of Bandpass Signals
Subband and Wavelet Based Coding
Image Processing Basics
Appendices
References
Answers to Selected Problems
Index
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