Learning Approaches in Signal Processing
eBook - ePub

Learning Approaches in Signal Processing

  1. 654 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Learning Approaches in Signal Processing

About this book

Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.

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Yes, you can access Learning Approaches in Signal Processing by Wan-Chi Siu, Lap-Pui Chau, Liang Wang, Tieniu Tang, Wan-Chi Siu,Lap-Pui Chau,Liang Wang,Tieniu Tang 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.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. PART I TUTORIAL AND OVERVIEW OF LEARNING APPROACHES
  8. PART II FILTER DESIGN AND MULTIRATE SIGNAL PROCESSING
  9. PART III IMAGING TECHNOLOGIES
  10. PART IV BIOMETRICS AND HEALTH APPLICATIONS
  11. PART V MOTIONS IN VIDEOS, POSE RECOGNITION, AND HUMAN ACTIVITY ANALYSIS
  12. PART VI LANGUAGE PROCESSING, COOPERATIVE NETWORK, AND COMMUNICATIONS
  13. PART VII DISCUSSION ON AI FOR HEALTHCARE
  14. Index