Digital Signal Processing

This textbook presents digital signal processing (DSP) principles, applications, and hardware deployments, emphasizing the effects of mathematics.

Features include:

* Real-time implementation of DSP algorithms using DSP processors

* MATLAB programs for simulations and C programs for real-time DSP

* Coverage of adaptive filtering with applications to reduce noise and echo cancellation

* Applications of DSP is multimedia applications - such as u-law and adaptive differential pulse code modulation, sampling rate conversions, transform coding, image and video processing

* MATLAB programs, student exercises and Real-time C programs available at http://books.elsevier.com/companions/9780123740908

This text gives students in electronics, computer engineering and bioengineering an understanding of essential.

"Professor Tan has written a comprehensive introduction to DSP, learn the theory, and is not suitable for the university. The DSP has a lot of applications in the area of DSP. - Samuel D. Stearns, Research Professor of Electrical and Computer Engineering, University of New Mexico

* Covers DSP principles and hardware issues with emphasis on applications and many worked examples
* Website with MATLAB programs for simulation and C programs for real-time DSP
* End of chapter problems are just the right thing to do

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.
Speech Quantization and Compression.
Multirate Digital Signal Processing and Oversampling ADC Conversion.
Advanced DSP with Multimedia Applications.