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Digital Signal Processing using MATLAB 3rd Edition Schilling Solutions Manual

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Digital Signal Processing using MATLAB 3rd Edition Schilling Solutions Manual

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Product Details:

  • ISBN-10 ‏ : ‎ 1305635191
  • ISBN-13 ‏ : ‎ 978-1305635197
  • Author:  Robert J. Schilling, Sandra L. Harris

Focus on the development, implementation, and application of modern DSP techniques with DIGITAL SIGNAL PROCESSING USING MATLAB, 3E. Written in an engaging, informal style, this edition immediately captures your attention and encourages you to explore each critical topic. Every chapter starts with a motivational section that highlights practical examples and challenges that you can solve using techniques covered in the chapter. Each chapter concludes with a detailed case study example, a chapter summary with learning outcomes, and practical homework problems cross-referenced to specific chapter sections for your convenience. DSP Companion software accompanies each book to enable further investigation. The DSP Companion software operates with MATLAB and provides intriguing demonstrations as well as interactive explorations of analysis and design concepts.

 

Table of Content:

  1. Part 1: Signal and System Analysis
  2. Ch 1: Signal Processing
  3. Ch 1: Chapter Topics
  4. 1.1: Motivation
  5. 1.2: Signals and Systems
  6. 1.3: Sampling of Continuous-time Signals
  7. 1.4: Reconstruction of Continuous-time Signals
  8. 1.5: Prefilters and Postfilters
  9. 1.6: DAC and ADC Circuits
  10. 1.7: DSP Companion
  11. 1.8: GUI Modules and Case Studies
  12. 1.9: Chapter Summary
  13. 1.10: Problems
  14. Ch 2: Discrete-Time Systems in the Time Domain
  15. Ch 2: Chapter Topics
  16. 2.1: Motivation
  17. 2.2: Discrete-Time Signals
  18. 2.3: Discrete-Time Systems
  19. 2.4: Difference Equations
  20. 2.5: Block Diagrams
  21. 2.6: The Impulse Response
  22. 2.7: Convolution
  23. 2.8: Correlation
  24. 2.9: Stability in the Time Domain
  25. 2.10: GUI Modules and Case Studies
  26. 2.11: Chapter Summary
  27. 2.12: Problems
  28. Ch 3: Discrete-Time Systems in the Frequency Domain
  29. Ch 3: Chapter Topics
  30. 3.1: Motivation
  31. 3.2: Z-Transform Pairs
  32. 3.3: Z-Transform Properties
  33. 3.4: Inverse Z-Transform
  34. 3.5: Transfer Functions
  35. 3.6: Signal Flow Graphs
  36. 3.7: Stability in the Frequency Domain
  37. 3.8: Frequency Response
  38. 3.9: System Identification
  39. 3.10: GUI Modules and Case Studies
  40. 3.11: Chapter Summary
  41. 3.12: Problems
  42. Ch 4: Fourier Transforms and Spectral Analysis
  43. Ch 4: Chapter Topics
  44. 4.1: Motivation
  45. 4.2: Discrete-Time Fourier Transform (DTFT)
  46. 4.3: Discrete Fourier Transform (DFT)
  47. 4.4: Fast Fourier Transform (FFT)
  48. 4.5: Fast Convolution and Correlation
  49. 4.6: White Noise
  50. 4.7: Auto-Correlation
  51. 4.8: Zero Padding and Spectral Resolution
  52. 4.9: The Spectrogram
  53. 4.10: Power Density Spectrum Estimation
  54. 4.11: GUI Modules and Case Studies
  55. 4.12: Chapter Summary
  56. 4.13: Problems
  57. Part 2: Filter Design
  58. Ch 5: Filter Types and Characteristics
  59. Ch 5: Chapter Topics
  60. 5.1: Motivation
  61. 5.2: Frequency-Selective Filters
  62. 5.3: Linear-Phase and Zero-Phase Filters
  63. 5.4: Minimum-Phase and Allpass Filters
  64. 5.5: Quadrature Filters
  65. 5.6: Notch Filters and Resonators
  66. 5.7: Narrowband Filters and Filter Banks
  67. 5.8: Adaptive Filters
  68. 5.9: GUI Modules and Case Studies
  69. 5.10: Chapter Summary
  70. 5.11: Problems
  71. Ch 6: FIR Filter Design
  72. Ch 6: Chapter Topics
  73. 6.1: Motivation
  74. 6.2: Windowing Method
  75. 6.3: Frequency-Sampling Method
  76. 6.4: Least-Squares Method
  77. 6.5: Optimal Equiripple Filter Design
  78. 6.6: Differentiators and Hilbert Transformers
  79. 6.7: Quadrature Filter Design
  80. 6.8: Filter Realization Structures
  81. 6.9: Finite Word Length Effects
  82. 6.10: GUI Modules and Case Studies
  83. 6.11: Chapter Summary
  84. 6.12: Problems
  85. Ch 7: IIR Filter Design
  86. Ch 7: Chapter Topics
  87. 7.1: Motivation
  88. 7.2: Filter Design by Pole-Zero Placement
  89. 7.3: Filter Design Parameters
  90. 7.4: Classical Analog Filters
  91. 7.5: Bilinear Transformation Method
  92. 7.6: Frequency Transformations
  93. 7.7: Filter Realization Structures
  94. 7.8: Finite Word Length Effects
  95. 7.9: GUI Modules and Case Studies
  96. 7.10: Chapter Summary
  97. 7.11: Problems
  98. Part 3: Advanced Signal Processing
  99. Ch 8: Multirate Signal Processing
  100. Ch 8: Chapter Topics
  101. 8.1: Motivation
  102. 8.2: Integer Sampling Rate Converters
  103. 8.3: Rational Sampling Rate Converters
  104. 8.4: Polyphase Filters
  105. 8.5: Narrowband Filters
  106. 8.6: Filter Banks
  107. 8.7: Perfect Reconstruction Filter Banks
  108. 8.8: Transmultiplexors
  109. 8.9: Oversampled A-to-D Converters
  110. 8.10: Oversampled D-to-A Converters
  111. 8.11: GUI Modules and Case Studies
  112. 8.12: Chapter Summary
  113. 8.13: Problems
  114. Ch 9: Adaptive Signal Processing
  115. Ch 9: Chapter Topics
  116. 9.1: Motivation
  117. 9.2: Mean Square Error
  118. 9.3: Least Mean Square (LMS) Method
  119. 9.4: Performance Analysis of LMS Method
  120. 9.5: Modified LMS Methods
  121. 9.6: Adaptive Filter Design with Pseudo-Filters
  122. 9.7: Recursive Least Squares (RLS) Method
  123. 9.8: Active Noise Control
  124. 9.9: Adaptive Function Approximation
  125. 9.10: Nonlinear System Identification (NLMS)
  126. 9.11: GUI Modules and Case Studies
  127. 9.12: Chapter Summary
  128. 9.13: Problems
  129. References and Further Reading
  130. Appendix 1: Transform Tables
  131. Appendix 2: Mathematical Identities
  132. Index

 

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