Trends in Digital Signal Processing

Trends in Digital Signal Processing

by Yong Ching Lim, Hon Hon Keung Kwan, Wan-Chi Siu
Released July 2015
Publisher(s): Jenny Stanford Publishing
ISBN: 9789814669511

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Book description

Digital signal processing is ubiquitous. It is an essential ingredient in many of today's electronic devices, ranging from medical equipment to weapon systems. It makes the difference between dumb and intelligent systems. This book is organized into five parts: (1) Introduction, which contains an account of Prof. Constantinides' contribution to the

Table of contents

  1. Cover
  2. About the Series
  3. Reviews
  4. Contents (1/3)
  5. Contents (2/3)
  6. Contents (3/3)
  7. Foreword
  8. Part I: Introduction
  9. Chapter 1: Introduction (1/2)
  10. Chapter 1: Introduction (2/2)
  11. Part II: Digital Filters and Transforms
  12. Chapter 2: A Review on Time-Interleaved Analog-to-Digital Converters and Mismatch Compensation Techniques (1/11)
  13. Chapter 2: A Review on Time-Interleaved Analog-to-Digital Converters and Mismatch Compensation Techniques (2/11)
  14. Chapter 2: A Review on Time-Interleaved Analog-to-Digital Converters and Mismatch Compensation Techniques (3/11)
  15. Chapter 2: A Review on Time-Interleaved Analog-to-Digital Converters and Mismatch Compensation Techniques (4/11)
  16. Chapter 2: A Review on Time-Interleaved Analog-to-Digital Converters and Mismatch Compensation Techniques (5/11)
  17. Chapter 2: A Review on Time-Interleaved Analog-to-Digital Converters and Mismatch Compensation Techniques (6/11)
  18. Chapter 2: A Review on Time-Interleaved Analog-to-Digital Converters and Mismatch Compensation Techniques (7/11)
  19. Chapter 2: A Review on Time-Interleaved Analog-to-Digital Converters and Mismatch Compensation Techniques (8/11)
  20. Chapter 2: A Review on Time-Interleaved Analog-to-Digital Converters and Mismatch Compensation Techniques (9/11)
  21. Chapter 2: A Review on Time-Interleaved Analog-to-Digital Converters and Mismatch Compensation Techniques (10/11)
  22. Chapter 2: A Review on Time-Interleaved Analog-to-Digital Converters and Mismatch Compensation Techniques (11/11)
  23. Chapter 3: How to Perform Very Wideband Digital Filtering in Modern Software Defined Radios (1/9)
  24. Chapter 3: How to Perform Very Wideband Digital Filtering in Modern Software Defined Radios (2/9)
  25. Chapter 3: How to Perform Very Wideband Digital Filtering in Modern Software Defined Radios (3/9)
  26. Chapter 3: How to Perform Very Wideband Digital Filtering in Modern Software Defined Radios (4/9)
  27. Chapter 3: How to Perform Very Wideband Digital Filtering in Modern Software Defined Radios (5/9)
  28. Chapter 3: How to Perform Very Wideband Digital Filtering in Modern Software Defined Radios (6/9)
  29. Chapter 3: How to Perform Very Wideband Digital Filtering in Modern Software Defined Radios (7/9)
  30. Chapter 3: How to Perform Very Wideband Digital Filtering in Modern Software Defined Radios (8/9)
  31. Chapter 3: How to Perform Very Wideband Digital Filtering in Modern Software Defined Radios (9/9)
  32. Chapter 4: A Survey of Digital All-Pass Filter-Based Real and Complex Adaptive Notch Filters (1/8)
  33. Chapter 4: A Survey of Digital All-Pass Filter-Based Real and Complex Adaptive Notch Filters (2/8)
  34. Chapter 4: A Survey of Digital All-Pass Filter-Based Real and Complex Adaptive Notch Filters (3/8)
  35. Chapter 4: A Survey of Digital All-Pass Filter-Based Real and Complex Adaptive Notch Filters (4/8)
  36. Chapter 4: A Survey of Digital All-Pass Filter-Based Real and Complex Adaptive Notch Filters (5/8)
  37. Chapter 4: A Survey of Digital All-Pass Filter-Based Real and Complex Adaptive Notch Filters (6/8)
  38. Chapter 4: A Survey of Digital All-Pass Filter-Based Real and Complex Adaptive Notch Filters (7/8)
  39. Chapter 4: A Survey of Digital All-Pass Filter-Based Real and Complex Adaptive Notch Filters (8/8)
  40. Chapter 5: Recent Advances in Sparse FIR Filter Design Using l0 and l1 Optimization Techniques (1/6)
  41. Chapter 5: Recent Advances in Sparse FIR Filter Design Using l0 and l1 Optimization Techniques (2/6)
  42. Chapter 5: Recent Advances in Sparse FIR Filter Design Using l0 and l1 Optimization Techniques (3/6)
  43. Chapter 5: Recent Advances in Sparse FIR Filter Design Using l0 and l1 Optimization Techniques (4/6)
  44. Chapter 5: Recent Advances in Sparse FIR Filter Design Using l0 and l1 Optimization Techniques (5/6)
  45. Chapter 5: Recent Advances in Sparse FIR Filter Design Using l0 and l1 Optimization Techniques (6/6)
  46. Chapter 6: Sparse Models in Echo Cancellation: When the Old Meets the New (1/6)
  47. Chapter 6: Sparse Models in Echo Cancellation: When the Old Meets the New (2/6)
  48. Chapter 6: Sparse Models in Echo Cancellation: When the Old Meets the New (3/6)
  49. Chapter 6: Sparse Models in Echo Cancellation: When the Old Meets the New (4/6)
  50. Chapter 6: Sparse Models in Echo Cancellation: When the Old Meets the New (5/6)
  51. Chapter 6: Sparse Models in Echo Cancellation: When the Old Meets the New (6/6)
  52. Chapter 7: Transform Domain Processing for Recent Signal and Video Applications (1/12)
  53. Chapter 7: Transform Domain Processing for Recent Signal and Video Applications (2/12)
  54. Chapter 7: Transform Domain Processing for Recent Signal and Video Applications (3/12)
  55. Chapter 7: Transform Domain Processing for Recent Signal and Video Applications (4/12)
  56. Chapter 7: Transform Domain Processing for Recent Signal and Video Applications (5/12)
  57. Chapter 7: Transform Domain Processing for Recent Signal and Video Applications (6/12)
  58. Chapter 7: Transform Domain Processing for Recent Signal and Video Applications (7/12)
  59. Chapter 7: Transform Domain Processing for Recent Signal and Video Applications (8/12)
  60. Chapter 7: Transform Domain Processing for Recent Signal and Video Applications (9/12)
  61. Chapter 7: Transform Domain Processing for Recent Signal and Video Applications (10/12)
  62. Chapter 7: Transform Domain Processing for Recent Signal and Video Applications (11/12)
  63. Chapter 7: Transform Domain Processing for Recent Signal and Video Applications (12/12)
  64. Part III: Signal Processing
  65. Chapter 8: Ramanujan-Sums and the Representation of Periodic Sequences (1/6)
  66. Chapter 8: Ramanujan-Sums and the Representation of Periodic Sequences (2/6)
  67. Chapter 8: Ramanujan-Sums and the Representation of Periodic Sequences (3/6)
  68. Chapter 8: Ramanujan-Sums and the Representation of Periodic Sequences (4/6)
  69. Chapter 8: Ramanujan-Sums and the Representation of Periodic Sequences (5/6)
  70. Chapter 8: Ramanujan-Sums and the Representation of Periodic Sequences (6/6)
  71. Chapter 9: High-Dimensional Kernel Regression: A Guide for Practitioners (1/5)
  72. Chapter 9: High-Dimensional Kernel Regression: A Guide for Practitioners (2/5)
  73. Chapter 9: High-Dimensional Kernel Regression: A Guide for Practitioners (3/5)
  74. Chapter 9: High-Dimensional Kernel Regression: A Guide for Practitioners (4/5)
  75. Chapter 9: High-Dimensional Kernel Regression: A Guide for Practitioners (5/5)
  76. Chapter 10: Linear Microphone Array TDE via Generalized Gaussian Distribution (1/5)
  77. Chapter 10: Linear Microphone Array TDE via Generalized Gaussian Distribution (2/5)
  78. Chapter 10: Linear Microphone Array TDE via Generalized Gaussian Distribution (3/5)
  79. Chapter 10: Linear Microphone Array TDE via Generalized Gaussian Distribution (4/5)
  80. Chapter 10: Linear Microphone Array TDE via Generalized Gaussian Distribution (5/5)
  81. Chapter 11: Recognition of Human Faces under Different Degradation Conditions (1/5)
  82. Chapter 11: Recognition of Human Faces under Different Degradation Conditions (2/5)
  83. Chapter 11: Recognition of Human Faces under Different Degradation Conditions (3/5)
  84. Chapter 11: Recognition of Human Faces under Different Degradation Conditions (4/5)
  85. Chapter 11: Recognition of Human Faces under Different Degradation Conditions (5/5)
  86. Chapter 12: Semantic Representation, Enrichment, and Retrieval of Audiovisual Film Content (1/10)
  87. Chapter 12: Semantic Representation, Enrichment, and Retrieval of Audiovisual Film Content (2/10)
  88. Chapter 12: Semantic Representation, Enrichment, and Retrieval of Audiovisual Film Content (3/10)
  89. Chapter 12: Semantic Representation, Enrichment, and Retrieval of Audiovisual Film Content (4/10)
  90. Chapter 12: Semantic Representation, Enrichment, and Retrieval of Audiovisual Film Content (5/10)
  91. Chapter 12: Semantic Representation, Enrichment, and Retrieval of Audiovisual Film Content (6/10)
  92. Chapter 12: Semantic Representation, Enrichment, and Retrieval of Audiovisual Film Content (7/10)
  93. Chapter 12: Semantic Representation, Enrichment, and Retrieval of Audiovisual Film Content (8/10)
  94. Chapter 12: Semantic Representation, Enrichment, and Retrieval of Audiovisual Film Content (9/10)
  95. Chapter 12: Semantic Representation, Enrichment, and Retrieval of Audiovisual Film Content (10/10)
  96. Chapter 13: Modeling the Structures of Complex Systems: Data Representations, Neural Learning, and Artificial Mind (1/6)
  97. Chapter 13: Modeling the Structures of Complex Systems: Data Representations, Neural Learning, and Artificial Mind (2/6)
  98. Chapter 13: Modeling the Structures of Complex Systems: Data Representations, Neural Learning, and Artificial Mind (3/6)
  99. Chapter 13: Modeling the Structures of Complex Systems: Data Representations, Neural Learning, and Artificial Mind (4/6)
  100. Chapter 13: Modeling the Structures of Complex Systems: Data Representations, Neural Learning, and Artificial Mind (5/6)
  101. Chapter 13: Modeling the Structures of Complex Systems: Data Representations, Neural Learning, and Artificial Mind (6/6)
  102. Part IV: Communications
  103. Chapter 14: Markov Chain Monte Carlo Statistical Detection Methods for Communication Systems (1/6)
  104. Chapter 14: Markov Chain Monte Carlo Statistical Detection Methods for Communication Systems (2/6)
  105. Chapter 14: Markov Chain Monte Carlo Statistical Detection Methods for Communication Systems (3/6)
  106. Chapter 14: Markov Chain Monte Carlo Statistical Detection Methods for Communication Systems (4/6)
  107. Chapter 14: Markov Chain Monte Carlo Statistical Detection Methods for Communication Systems (5/6)
  108. Chapter 14: Markov Chain Monte Carlo Statistical Detection Methods for Communication Systems (6/6)
  109. Chapter 15: Multiple Antennas for Physical Layer Secrecy (1/4)
  110. Chapter 15: Multiple Antennas for Physical Layer Secrecy (2/4)
  111. Chapter 15: Multiple Antennas for Physical Layer Secrecy (3/4)
  112. Chapter 15: Multiple Antennas for Physical Layer Secrecy (4/4)
  113. Chapter 16: Radio Frequency Localization for IoT Applications (1/6)
  114. Chapter 16: Radio Frequency Localization for IoT Applications (2/6)
  115. Chapter 16: Radio Frequency Localization for IoT Applications (3/6)
  116. Chapter 16: Radio Frequency Localization for IoT Applications (4/6)
  117. Chapter 16: Radio Frequency Localization for IoT Applications (5/6)
  118. Chapter 16: Radio Frequency Localization for IoT Applications (6/6)
  119. Chapter 17: Classification and Prediction Techniques for Localization in IEEE 802.11 Networks (1/5)
  120. Chapter 17: Classification and Prediction Techniques for Localization in IEEE 802.11 Networks (2/5)
  121. Chapter 17: Classification and Prediction Techniques for Localization in IEEE 802.11 Networks (3/5)
  122. Chapter 17: Classification and Prediction Techniques for Localization in IEEE 802.11 Networks (4/5)
  123. Chapter 17: Classification and Prediction Techniques for Localization in IEEE 802.11 Networks (5/5)
  124. Part V: Finale
  125. Chapter 18: Our World Is Better Served by DSP Technologies and Their Innovative Solutions (1/7)
  126. Chapter 18: Our World Is Better Served by DSP Technologies and Their Innovative Solutions (2/7)
  127. Chapter 18: Our World Is Better Served by DSP Technologies and Their Innovative Solutions (3/7)
  128. Chapter 18: Our World Is Better Served by DSP Technologies and Their Innovative Solutions (4/7)
  129. Chapter 18: Our World Is Better Served by DSP Technologies and Their Innovative Solutions (5/7)
  130. Chapter 18: Our World Is Better Served by DSP Technologies and Their Innovative Solutions (6/7)
  131. Chapter 18: Our World Is Better Served by DSP Technologies and Their Innovative Solutions (7/7)
  132. Closing Remarks
  133. Back Cover

Product information

  • Title: Trends in Digital Signal Processing
  • Author(s): Yong Ching Lim, Hon Hon Keung Kwan, Wan-Chi Siu
  • Release date: July 2015
  • Publisher(s): Jenny Stanford Publishing
  • ISBN: 9789814669511