589689.xyz

[Udemy] Digital Signal Processing (DSP) From Ground Up in C (2021) [En]

  • 收录时间:2021-08-15 18:36:54
  • 文件大小:5GB
  • 下载次数:1
  • 最近下载:2021-08-15 18:36:54
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 14. Designing Windowed-Sinc Filters/7. Coding Developing the Low-pass Windowed-Sinc Filter Algorithm (Part II).mp4 217MB
  2. 10. Fast Fourier Transform (FFT)/3. How the Decimation -in-Time FFT Algorithm works.mp4 162MB
  3. 10. Fast Fourier Transform (FFT)/1. An Overview of how FFT works..mp4 141MB
  4. 6. Convolution/3. The Convolution Kernel.mp4 113MB
  5. 14. Designing Windowed-Sinc Filters/6. Coding Developing the Low-pass Windowed-Sinc Filter Algorithm (Part I).mp4 107MB
  6. 14. Designing Windowed-Sinc Filters/11. Coding Developing the Band-pass Windowed-Sinc Filter Algorithm (Part IV).mp4 100MB
  7. 7. Fourier Transsform/7. Code Developing the DFT algorithm (Part II).mp4 98MB
  8. 6. Convolution/12. Coding Developing the Running Sum algorithm.mp4 95MB
  9. 6. Convolution/6. Coding Developing the Convolution algorithm (Part I ).mp4 95MB
  10. 6. Convolution/9. Coding Developing the Convolution algorithm (Part IV).mp4 93MB
  11. 7. Fourier Transsform/17. Coding Rectangular notation to the polar notation ( Part I).mp4 90MB
  12. 9. Complex Fourier Transform/5. Coding Developing the Complex DFT equation (Part I).mp4 89MB
  13. 7. Fourier Transsform/18. Coding Rectangular notation to the polar notation ( Part II).mp4 85MB
  14. 7. Fourier Transsform/2. Introduction to Discrete Fourier Transform.mp4 84MB
  15. 3. Signal Statistics and Noise/6. Coding Developing the Signal Variance algorithm.mp4 81MB
  16. 7. Fourier Transsform/10. Coding Developing the Inverse DFT algorithm (Part II).mp4 80MB
  17. 12. Designing Finite Impulse Response FIR) Filters/3. The Recursive Moving Average Filter.mp4 80MB
  18. 11. Digital Filter Design/8. Designing digital filters using the spectral inversion method.mp4 79MB
  19. 14. Designing Windowed-Sinc Filters/8. Coding Developing the Band-pass Windowed-Sinc Filter Algorithm (Part I).mp4 76MB
  20. 6. Convolution/5. The Output side analysis and the convolution sum equation.mp4 76MB
  21. 3. Signal Statistics and Noise/2. Mean and Standard Deviation.mp4 73MB
  22. 7. Fourier Transsform/14. Coding Identifying the frequencies present in the DFT plot.mp4 73MB
  23. 12. Designing Finite Impulse Response FIR) Filters/1. The Moving Average Filter.mp4 70MB
  24. 11. Digital Filter Design/5. Information representations of a signal.mp4 70MB
  25. 4. Quantization and The Sampling Theorem/3. The Passive Low-Pass Filter.mp4 69MB
  26. 15. FFT Convolution/1. Understanding how the Overlap-Add method works.mp4 69MB
  27. 3. Signal Statistics and Noise/4. Coding Developing the Signal Mean algorithm.mp4 68MB
  28. 7. Fourier Transsform/6. Code Developing the DFT algorithm (Part I).mp4 67MB
  29. 11. Digital Filter Design/6. Time domain parameters.mp4 67MB
  30. 14. Designing Windowed-Sinc Filters/10. Coding Developing the Band-pass Windowed-Sinc Filter Algorithm (Part III).mp4 65MB
  31. 7. Fourier Transsform/5. Calculating the Discrete Fourier Transform (DFT).mp4 65MB
  32. 9. Complex Fourier Transform/6. Coding Developing the Complex DFT equation (Part II ).mp4 63MB
  33. 7. Fourier Transsform/20. The Frequency Response.mp4 62MB
  34. 7. Fourier Transsform/3. DFT Basis Functions.mp4 58MB
  35. 9. Complex Fourier Transform/4. Comparing Real DFT and Complex DFT.mp4 58MB
  36. 11. Digital Filter Design/1. Introduction to Digital Filters.mp4 57MB
  37. 14. Designing Windowed-Sinc Filters/2. The Sinc Function and the Truncated Sinc Filter.mp4 55MB
  38. 7. Fourier Transsform/4. Deducing the Inverse DFT.mp4 55MB
  39. 4. Quantization and The Sampling Theorem/6. The Bessel, Chebyshev and Butterworth filters.mp4 55MB
  40. 6. Convolution/8. Coding Developing the Convolution algorithm (Part III).mp4 55MB
  41. 11. Digital Filter Design/4. Understanding the Logarithmic scale and decibels.mp4 51MB
  42. 14. Designing Windowed-Sinc Filters/9. Coding Developing the Band-pass Windowed-Sinc Filter Algorithm (Part II).mp4 51MB
  43. 7. Fourier Transsform/12. Coding Computing the DFT and IDFT of an ECG signal (Part I).mp4 50MB
  44. 11. Digital Filter Design/9. Designing digital filters using the spectral reversal method.mp4 48MB
  45. 7. Fourier Transsform/13. Coding Computing the DFT and IDFT of an ECG signal (Part II).mp4 48MB
  46. 7. Fourier Transsform/16. Polar Notation.mp4 48MB
  47. 13. Designing Infinite Impulse Response (IIR) Filters/3. The Single-Pole Recursive Filter.mp4 47MB
  48. 10. Fast Fourier Transform (FFT)/2. Understanding the complexity of calculating DFT directly.mp4 45MB
  49. 4. Quantization and The Sampling Theorem/1. Quantization.mp4 44MB
  50. 14. Designing Windowed-Sinc Filters/5. Designing the Windowed Sinc filter.mp4 44MB
  51. 14. Designing Windowed-Sinc Filters/4. The Hamming and Blackman window equations.mp4 43MB
  52. 3. Signal Statistics and Noise/1. Nature of a signal.mp4 43MB
  53. 6. Convolution/7. Coding Developing the Convolution algorithm (Part I I).mp4 42MB
  54. 4. Quantization and The Sampling Theorem/7. Comparing the performance of the Bessel, Chebyshev and Butterworth filters.mp4 42MB
  55. 7. Fourier Transsform/19. Introduction to Spectral Analysis.mp4 41MB
  56. 4. Quantization and The Sampling Theorem/5. The Modified Sallen-Key Filter.mp4 41MB
  57. 7. Fourier Transsform/9. Coding Developing the Inverse DFT algorithm (Part I).mp4 40MB
  58. 2. Getting started with gnuplot/2. Plotting multiple signals in the same window.mp4 39MB
  59. 4. Quantization and The Sampling Theorem/2. Nyquist Theorem ( Sampling Theorem ).mp4 39MB
  60. 12. Designing Finite Impulse Response FIR) Filters/2. The Multiple Pass Moving Average Filter.mp4 39MB
  61. 6. Convolution/2. The Delta Function and Impulse Response.mp4 39MB
  62. 5. Linear Systems and Superposition/6. Synthesis and Decomposition.mp4 38MB
  63. 5. Linear Systems and Superposition/7. Impulse Decomposition.mp4 37MB
  64. 8. Complex Numbers/1. The Complex Number System.mp4 36MB
  65. 7. Fourier Transsform/11. Coding Developing the Inverse DFT algorithm (Part III).mp4 36MB
  66. 6. Convolution/11. The Running Sum and First Difference.mp4 35MB
  67. 8. Complex Numbers/4. Representation of Sinusoids.mp4 34MB
  68. 14. Designing Windowed-Sinc Filters/12. Coding Developing the Band-pass Windowed-Sinc Filter Algorithm (Part V).mp4 33MB
  69. 13. Designing Infinite Impulse Response (IIR) Filters/4. Digital Chebyshev Filters.mp4 32MB
  70. 5. Linear Systems and Superposition/8. Step Decomposition.mp4 32MB
  71. 11. Digital Filter Design/2. The Filter Kernel.mp4 31MB
  72. 3. Signal Statistics and Noise/5. Coding Computing the Signal Mean.mp4 31MB
  73. 3. Signal Statistics and Noise/7. Coding Developing the Signal Standard Deviation algorithm.mp4 31MB
  74. 13. Designing Infinite Impulse Response (IIR) Filters/2. The Recursion Equation.mp4 30MB
  75. 7. Fourier Transsform/8. Code Developing the DFT algorithm (Part III).mp4 30MB
  76. 9. Complex Fourier Transform/1. Introduction to Complex Fourier Transform.mp4 30MB
  77. 11. Digital Filter Design/10. Classification of digital filters.mp4 29MB
  78. 4. Quantization and The Sampling Theorem/4. The Passive High-Pass Filter.mp4 29MB
  79. 9. Complex Fourier Transform/2. Mathematical Equivalence.mp4 29MB
  80. 8. Complex Numbers/5. Representing Systems.mp4 28MB
  81. 8. Complex Numbers/2. Polar Representation of Complex Numbers.mp4 27MB
  82. 5. Linear Systems and Superposition/3. System Homogeneity.mp4 27MB
  83. 6. Convolution/1. Introduction to Convolution.mp4 27MB
  84. 4. Quantization and The Sampling Theorem/8. Information encoding Time-domain and frequency-domain encoding.mp4 26MB
  85. 6. Convolution/10. The Identity property of convolution.mp4 26MB
  86. 8. Complex Numbers/3. Euler's Relation.mp4 24MB
  87. 7. Fourier Transsform/1. Introduction to Fourier Analysis.mp4 23MB
  88. 1. Set up/2. Overview of CodeBlocks.mp4 23MB
  89. 5. Linear Systems and Superposition/2. Signal naming conventions.mp4 23MB
  90. 11. Digital Filter Design/7. Frequency domain parameters.mp4 22MB
  91. 11. Digital Filter Design/3. The Impulse,Step and Frequency response.mp4 22MB
  92. 1. Set up/5. Overview of gnuplot.mp4 20MB
  93. 5. Linear Systems and Superposition/5. System Shift Invariance.mp4 19MB
  94. 1. Set up/3. Downloading gnuplot.mp4 18MB
  95. 2. Getting started with gnuplot/1. Plotting signals with gnuplot.mp4 18MB
  96. 3. Signal Statistics and Noise/3. Signal-to-Noise ratio.mp4 17MB
  97. 14. Designing Windowed-Sinc Filters/3. The Blackman window.mp4 17MB
  98. 1. Set up/1. Setting up an Integrated Development Environment (IDE).mp4 16MB
  99. 7. Fourier Transsform/15. Symmetry between Time domain and frequency domain -Duality.mp4 16MB
  100. 6. Convolution/4. The Convolution Kernel (Part II).mp4 15MB
  101. 1. Set up/4. Installing gnuplot.mp4 15MB
  102. 14. Designing Windowed-Sinc Filters/1. Introduction to Windowed-Sinc Filters.mp4 13MB
  103. 13. Designing Infinite Impulse Response (IIR) Filters/1. Introduction to Recursive Filters.mp4 13MB
  104. 9. Complex Fourier Transform/3. The Complex DFT Equation.mp4 11MB
  105. 5. Linear Systems and Superposition/4. System Additivity.mp4 10MB
  106. 9. Complex Fourier Transform/6.1 ComplexDFT.zip.zip 26KB
  107. 7. Fourier Transsform/13.1 IDFT_ecg.zip.zip 25KB
  108. 14. Designing Windowed-Sinc Filters/7. Coding Developing the Low-pass Windowed-Sinc Filter Algorithm (Part II).vtt 24KB
  109. 7. Fourier Transsform/18.1 Rect_to_Polar.zip.zip 22KB
  110. 7. Fourier Transsform/11.1 IDFT.zip.zip 21KB
  111. 6. Convolution/9.1 Convolution.zip.zip 19KB
  112. 7. Fourier Transsform/8.1 DFT.zip.zip 19KB
  113. 6. Convolution/12.1 Running Sum.zip.zip 18KB
  114. 3. Signal Statistics and Noise/7.1 Signal_Standard_deviation.zip.zip 16KB
  115. 3. Signal Statistics and Noise/6.1 SignalVariance.zip.zip 15KB
  116. 3. Signal Statistics and Noise/5.1 Signal_Mean.zip.zip 14KB
  117. 6. Convolution/12. Coding Developing the Running Sum algorithm.vtt 13KB
  118. 14. Designing Windowed-Sinc Filters/11. Coding Developing the Band-pass Windowed-Sinc Filter Algorithm (Part IV).vtt 13KB
  119. 14. Designing Windowed-Sinc Filters/6. Coding Developing the Low-pass Windowed-Sinc Filter Algorithm (Part I).vtt 12KB
  120. 6. Convolution/6. Coding Developing the Convolution algorithm (Part I ).vtt 11KB
  121. 6. Convolution/9. Coding Developing the Convolution algorithm (Part IV).vtt 11KB
  122. 3. Signal Statistics and Noise/6. Coding Developing the Signal Variance algorithm.vtt 10KB
  123. 7. Fourier Transsform/14. Coding Identifying the frequencies present in the DFT plot.vtt 10KB
  124. 7. Fourier Transsform/17. Coding Rectangular notation to the polar notation ( Part I).vtt 10KB
  125. 9. Complex Fourier Transform/5. Coding Developing the Complex DFT equation (Part I).vtt 9KB
  126. 14. Designing Windowed-Sinc Filters/8. Coding Developing the Band-pass Windowed-Sinc Filter Algorithm (Part I).vtt 9KB
  127. 7. Fourier Transsform/7. Code Developing the DFT algorithm (Part II).vtt 9KB
  128. 10. Fast Fourier Transform (FFT)/3. How the Decimation -in-Time FFT Algorithm works.vtt 9KB
  129. 3. Signal Statistics and Noise/4. Coding Developing the Signal Mean algorithm.vtt 9KB
  130. 10. Fast Fourier Transform (FFT)/1. An Overview of how FFT works..vtt 9KB
  131. 7. Fourier Transsform/18. Coding Rectangular notation to the polar notation ( Part II).vtt 8KB
  132. 7. Fourier Transsform/6. Code Developing the DFT algorithm (Part I).vtt 8KB
  133. 2. Getting started with gnuplot/2. Plotting multiple signals in the same window.vtt 8KB
  134. 7. Fourier Transsform/10. Coding Developing the Inverse DFT algorithm (Part II).vtt 7KB
  135. 14. Designing Windowed-Sinc Filters/10. Coding Developing the Band-pass Windowed-Sinc Filter Algorithm (Part III).vtt 7KB
  136. 6. Convolution/3. The Convolution Kernel.vtt 7KB
  137. 6. Convolution/8. Coding Developing the Convolution algorithm (Part III).vtt 7KB
  138. 4. Quantization and The Sampling Theorem/3. The Passive Low-Pass Filter.vtt 7KB
  139. 7. Fourier Transsform/13. Coding Computing the DFT and IDFT of an ECG signal (Part II).vtt 7KB
  140. 9. Complex Fourier Transform/6. Coding Developing the Complex DFT equation (Part II ).vtt 6KB
  141. 7. Fourier Transsform/2. Introduction to Discrete Fourier Transform.vtt 5KB
  142. 6. Convolution/7. Coding Developing the Convolution algorithm (Part I I).vtt 5KB
  143. 7. Fourier Transsform/9. Coding Developing the Inverse DFT algorithm (Part I).vtt 5KB
  144. 7. Fourier Transsform/11. Coding Developing the Inverse DFT algorithm (Part III).vtt 5KB
  145. 1. Set up/5. Overview of gnuplot.vtt 5KB
  146. 11. Digital Filter Design/8. Designing digital filters using the spectral inversion method.vtt 5KB
  147. 14. Designing Windowed-Sinc Filters/9. Coding Developing the Band-pass Windowed-Sinc Filter Algorithm (Part II).vtt 5KB
  148. 11. Digital Filter Design/6. Time domain parameters.vtt 5KB
  149. 1. Set up/2. Overview of CodeBlocks.vtt 5KB
  150. 6. Convolution/5. The Output side analysis and the convolution sum equation.vtt 5KB
  151. 7. Fourier Transsform/12. Coding Computing the DFT and IDFT of an ECG signal (Part I).vtt 5KB
  152. 15. FFT Convolution/1. Understanding how the Overlap-Add method works.vtt 5KB
  153. 3. Signal Statistics and Noise/7. Coding Developing the Signal Standard Deviation algorithm.vtt 5KB
  154. 12. Designing Finite Impulse Response FIR) Filters/3. The Recursive Moving Average Filter.vtt 5KB
  155. 3. Signal Statistics and Noise/2. Mean and Standard Deviation.vtt 5KB
  156. 14. Designing Windowed-Sinc Filters/12. Coding Developing the Band-pass Windowed-Sinc Filter Algorithm (Part V).vtt 5KB
  157. 7. Fourier Transsform/5. Calculating the Discrete Fourier Transform (DFT).vtt 4KB
  158. 12. Designing Finite Impulse Response FIR) Filters/1. The Moving Average Filter.vtt 4KB
  159. 7. Fourier Transsform/8. Code Developing the DFT algorithm (Part III).vtt 4KB
  160. 3. Signal Statistics and Noise/5. Coding Computing the Signal Mean.vtt 4KB
  161. 7. Fourier Transsform/20. The Frequency Response.vtt 4KB
  162. 11. Digital Filter Design/5. Information representations of a signal.vtt 4KB
  163. 4. Quantization and The Sampling Theorem/6. The Bessel, Chebyshev and Butterworth filters.vtt 4KB
  164. 7. Fourier Transsform/3. DFT Basis Functions.vtt 4KB
  165. 14. Designing Windowed-Sinc Filters/2. The Sinc Function and the Truncated Sinc Filter.vtt 4KB
  166. 11. Digital Filter Design/1. Introduction to Digital Filters.vtt 4KB
  167. 7. Fourier Transsform/4. Deducing the Inverse DFT.vtt 3KB
  168. 9. Complex Fourier Transform/4. Comparing Real DFT and Complex DFT.vtt 3KB
  169. 1. Set up/1. Setting up an Integrated Development Environment (IDE).vtt 3KB
  170. 7. Fourier Transsform/16. Polar Notation.vtt 3KB
  171. 11. Digital Filter Design/9. Designing digital filters using the spectral reversal method.vtt 3KB
  172. 11. Digital Filter Design/4. Understanding the Logarithmic scale and decibels.vtt 3KB
  173. 4. Quantization and The Sampling Theorem/7. Comparing the performance of the Bessel, Chebyshev and Butterworth filters.vtt 3KB
  174. 13. Designing Infinite Impulse Response (IIR) Filters/3. The Single-Pole Recursive Filter.vtt 3KB
  175. 1. Set up/3. Downloading gnuplot.vtt 3KB
  176. 1. Set up/4. Installing gnuplot.vtt 3KB
  177. 14. Designing Windowed-Sinc Filters/4. The Hamming and Blackman window equations.vtt 3KB
  178. 7. Fourier Transsform/19. Introduction to Spectral Analysis.vtt 3KB
  179. 14. Designing Windowed-Sinc Filters/5. Designing the Windowed Sinc filter.vtt 3KB
  180. 4. Quantization and The Sampling Theorem/1. Quantization.vtt 3KB
  181. 4. Quantization and The Sampling Theorem/4. The Passive High-Pass Filter.vtt 3KB
  182. 4. Quantization and The Sampling Theorem/5. The Modified Sallen-Key Filter.vtt 3KB
  183. 10. Fast Fourier Transform (FFT)/2. Understanding the complexity of calculating DFT directly.vtt 3KB
  184. 4. Quantization and The Sampling Theorem/2. Nyquist Theorem ( Sampling Theorem ).vtt 3KB
  185. 3. Signal Statistics and Noise/1. Nature of a signal.vtt 3KB
  186. 6. Convolution/2. The Delta Function and Impulse Response.vtt 3KB
  187. 5. Linear Systems and Superposition/7. Impulse Decomposition.vtt 2KB
  188. 5. Linear Systems and Superposition/6. Synthesis and Decomposition.vtt 2KB
  189. 8. Complex Numbers/1. The Complex Number System.vtt 2KB
  190. 6. Convolution/11. The Running Sum and First Difference.vtt 2KB
  191. 13. Designing Infinite Impulse Response (IIR) Filters/4. Digital Chebyshev Filters.vtt 2KB
  192. 12. Designing Finite Impulse Response FIR) Filters/2. The Multiple Pass Moving Average Filter.vtt 2KB
  193. 5. Linear Systems and Superposition/8. Step Decomposition.vtt 2KB
  194. 11. Digital Filter Design/10. Classification of digital filters.vtt 2KB
  195. 11. Digital Filter Design/2. The Filter Kernel.vtt 2KB
  196. 13. Designing Infinite Impulse Response (IIR) Filters/2. The Recursion Equation.vtt 2KB
  197. 8. Complex Numbers/4. Representation of Sinusoids.vtt 2KB
  198. 9. Complex Fourier Transform/1. Introduction to Complex Fourier Transform.vtt 2KB
  199. 6. Convolution/10. The Identity property of convolution.vtt 2KB
  200. 9. Complex Fourier Transform/2. Mathematical Equivalence.vtt 2KB
  201. 8. Complex Numbers/2. Polar Representation of Complex Numbers.vtt 2KB
  202. 5. Linear Systems and Superposition/3. System Homogeneity.vtt 2KB
  203. 11. Digital Filter Design/7. Frequency domain parameters.vtt 2KB
  204. 8. Complex Numbers/3. Euler's Relation.vtt 2KB
  205. 6. Convolution/1. Introduction to Convolution.vtt 2KB
  206. 4. Quantization and The Sampling Theorem/8. Information encoding Time-domain and frequency-domain encoding.vtt 2KB
  207. 5. Linear Systems and Superposition/2. Signal naming conventions.vtt 2KB
  208. 8. Complex Numbers/5. Representing Systems.vtt 2KB
  209. 7. Fourier Transsform/1. Introduction to Fourier Analysis.vtt 2KB
  210. 11. Digital Filter Design/3. The Impulse,Step and Frequency response.vtt 1KB
  211. 5. Linear Systems and Superposition/5. System Shift Invariance.vtt 1KB
  212. 2. Getting started with gnuplot/1.2 output_imx.zip.zip 1KB
  213. 14. Designing Windowed-Sinc Filters/3. The Blackman window.vtt 1KB
  214. 3. Signal Statistics and Noise/3. Signal-to-Noise ratio.vtt 1KB
  215. 2. Getting started with gnuplot/1.1 output_rex.zip.zip 1KB
  216. 6. Convolution/4. The Convolution Kernel (Part II).vtt 1KB
  217. 7. Fourier Transsform/15. Symmetry between Time domain and frequency domain -Duality.vtt 1KB
  218. 7. Fourier Transsform/17.1 _ecg_320.zip.zip 934B
  219. 9. Complex Fourier Transform/5.1 _20hz_sig.zip.zip 873B
  220. 14. Designing Windowed-Sinc Filters/1. Introduction to Windowed-Sinc Filters.vtt 856B
  221. 13. Designing Infinite Impulse Response (IIR) Filters/1. Introduction to Recursive Filters.vtt 826B
  222. 7. Fourier Transsform/12.1 ecg.zip.zip 794B
  223. 9. Complex Fourier Transform/3. The Complex DFT Equation.vtt 665B
  224. 5. Linear Systems and Superposition/4. System Additivity.vtt 574B
  225. 3. Signal Statistics and Noise/4.1 waveforms.zip.zip 510B
  226. 6. Convolution/6.1 impulse_response.zip.zip 368B
  227. 1. Set up/5.1 input_signal.zip.zip 341B
  228. 5. Linear Systems and Superposition/1. Notice.html 306B
  229. 2. Getting started with gnuplot/1. Plotting signals with gnuplot.vtt 0B