Digital Signal Processing

Digital Signal Processing : Fundamentals and Applications

4.37 (8 ratings by Goodreads)
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This book will enable electrical engineers and technicians in the fields of the biomedical, computer, and electronics engineering, to master the essential fundamentals of DSP principles and practice. Coverage includes DSP principles, applications, and hardware issues with an emphasis on applications. Many instructive worked examples are used to illustrate the material and the use of mathematics is minimized for easier grasp of concepts.
In addition to introducing commercial DSP hardware and software, and industry standards that apply to DSP concepts and algorithms, topics covered include adaptive filtering with noise reduction and echo cancellations; speech compression; signal sampling, digital filter realizations; filter design; multimedia applications; over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, u-law, ADPCM, and multi-rate DSP and over-sampling ADC.
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Product details

  • Hardback | 840 pages
  • 192 x 236 x 36mm | 1,619.32g
  • Academic Press Inc
  • San Diego, United States
  • English
  • Approx. 480 illustrations
  • 0123740908
  • 9780123740908

Table of contents

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
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Review Text

"Professor Tan has written a comprehensive introduction to DSP, not lacking in theory and yet suitable for tech school as well as senior-level university courses. With this text one can move through all the main areas of modern DSP, learn the theory, and see plenty of illustrations in terms of hardware and software. It's an excellent reference for our present age, in which DSP has applications in practically every area of technology." Samuel D. Stearns, Research Professor of Electrical and Computer Engineering, University of New Mexico
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Rating details

8 ratings
4.37 out of 5 stars
5 75% (6)
4 0% (0)
3 12% (1)
2 12% (1)
1 0% (0)
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