Digital Signal Processing Fundamentals
eBook - ePub

Digital Signal Processing Fundamentals

  1. 904 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Digital Signal Processing Fundamentals

About this book

Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form. Encompassing essential background material, technical details, standards, and software, the second edition reflects cutting-edge information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with standards ranging from WiMax to MP3 audio, low-power/high-performance DSPs, color image processing, and chips on video. Drawing on the experience of leading engineers, researchers, and scholars, the three-volume set contains 29 new chapters that address multimedia and Internet technologies, tomography, radar systems, architecture, standards, and future applications in speech, acoustics, video, radar, and telecommunications.

Emphasizing theoretical concepts, Digital Signal Processing Fundamentals provides comprehensive coverage of the basic foundations of DSP and includes the following parts: Signals and Systems; Signal Representation and Quantization; Fourier Transforms; Digital Filtering; Statistical Signal Processing; Adaptive Filtering; Inverse Problems and Signal Reconstruction; and Time–Frequency and Multirate Signal Processing.

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Yes, you can access Digital Signal Processing Fundamentals by Vijay K. Madisetti,Vijay Madisetti in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Dedication
  5. Table of Contents
  6. Preface
  7. Editor
  8. Contributors
  9. PART I Signals and Systems
  10. PART II Signal Representation and Quantization
  11. PART III Fast Algorithms and Structures
  12. PART IV Digital Filtering
  13. PART V Statistical Signal Processing
  14. PART VI Adaptive Filtering
  15. PART VII Inverse Problems and Signal Reconstruction
  16. PART VIII Time–Frequency and Multirate Signal Processing
  17. Index