Digital Signal Processing

Fundamentals and Applications

Nonfiction, Science & Nature, Technology, Imaging Systems, Electronics, Circuits
Cover of the book Digital Signal Processing by Lizhe Tan, Ph.D., Electrical Engineering, University of New Mexico, Elsevier Science
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Author: Lizhe Tan, Ph.D., Electrical Engineering, University of New Mexico ISBN: 9780080550572
Publisher: Elsevier Science Publication: September 4, 2007
Imprint: Academic Press Language: English
Author: Lizhe Tan, Ph.D., Electrical Engineering, University of New Mexico
ISBN: 9780080550572
Publisher: Elsevier Science
Publication: September 4, 2007
Imprint: Academic Press
Language: English

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.

  • Covers DSP principles and hardware issues with emphasis on applications and many worked examples
  • End of chapter problems are helpful in ensuring retention and understanding of what was just read
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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