Digital Signal Processing Fundamentals and Applications
Edition: 2nd 2013
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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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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $99.95
Copyright year: 2013
Publisher: Elsevier Science & Technology Books
Publication date: 2/8/2013
Size: 8.00" wide x 10.00" long x 2.00" tall
|Intro to DSP|
|Signal Sampling and Quantization|
|Digital Signals and Systems|
|Discrete Fourier Transforms and Signal Spectra|
|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|
|Answers to Selected Problems|