|
Обратите внимание, что наш сайт не размещает какие-либо файлы из списка. Вы не можете скачать
эти файлы или скачать torrent-файл.
|
| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 0 |
90б |
| 001 Introduction of Complex Numbers.en.srt |
5.96Кб |
| 001 Introduction of Complex Numbers.mp4 |
20.30Мб |
| 001 Introduction of the course.en.srt |
6.46Кб |
| 001 Introduction of the course.mp4 |
23.27Мб |
| 001 Introduction of the section.en.srt |
1.34Кб |
| 001 Introduction of the section.en.srt |
2.08Кб |
| 001 Introduction of the section.en.srt |
2.54Кб |
| 001 Introduction of the section.en.srt |
2.36Кб |
| 001 Introduction of the section.en.srt |
2.86Кб |
| 001 Introduction of the section.en.srt |
2.87Кб |
| 001 Introduction of the section.en.srt |
2.22Кб |
| 001 Introduction of the section.mp4 |
8.97Мб |
| 001 Introduction of the section.mp4 |
8.19Мб |
| 001 Introduction of the section.mp4 |
7.95Мб |
| 001 Introduction of the section.mp4 |
7.09Мб |
| 001 Introduction of the section.mp4 |
6.02Мб |
| 001 Introduction of the section.mp4 |
4.18Мб |
| 001 Introduction of the section.mp4 |
3.07Мб |
| 002 Combining Sine and Cosine Waves.en.srt |
14.21Кб |
| 002 Combining Sine and Cosine Waves.mp4 |
60.46Мб |
| 002 Complex Numbers in Python.en.srt |
6.51Кб |
| 002 Complex Numbers in Python.mp4 |
24.13Мб |
| 002 Elements of signal processing system.en.srt |
11.40Кб |
| 002 Elements of signal processing system.mp4 |
49.78Мб |
| 002 Introduction to digital filters.en.srt |
10.59Кб |
| 002 Introduction to digital filters.mp4 |
45.66Мб |
| 002 Moving Average Filter.en.srt |
9.94Кб |
| 002 Moving Average Filter.mp4 |
41.34Мб |
| 002 Pace of Lecture delivery.en.srt |
3.27Кб |
| 002 Pace of Lecture delivery.mp4 |
18.20Мб |
| 002 Python Installment.en.srt |
5.53Кб |
| 002 Python Installment.mp4 |
24.97Мб |
| 002 Steps for designing IIR Butterworth filters.en.srt |
11.18Кб |
| 002 Steps for designing IIR Butterworth filters.mp4 |
34.74Мб |
| 002 The Convolution Sum.en.srt |
22.28Кб |
| 002 The Convolution Sum.mp4 |
62.31Мб |
| 003 AD Conversion.en.srt |
20.90Кб |
| 003 AD Conversion.mp4 |
73.60Мб |
| 003 Course Material.html |
979б |
| 003 Course Material.zip |
16.81Мб |
| 003 Generating Waves in Python.en.srt |
17.75Кб |
| 003 Generating Waves in Python.mp4 |
97.94Мб |
| 003 IIR Butterworth Filter design in Python.en.srt |
15.63Кб |
| 003 IIR Butterworth Filter design in Python.mp4 |
87.23Мб |
| 003 Introduction of Jupyter Notebook.en.srt |
17.47Кб |
| 003 Introduction of Jupyter Notebook.mp4 |
52.12Мб |
| 003 Maths of Complex Numbers Part-01.en.srt |
3.99Кб |
| 003 Maths of Complex Numbers Part-01.mp4 |
13.90Мб |
| 003 Moving Average Filter in Python.en.srt |
18.94Кб |
| 003 Moving Average Filter in Python.mp4 |
96.84Мб |
| 003 Numerical Example on convolution.en.srt |
23.58Кб |
| 003 Numerical Example on convolution.mp4 |
63.09Мб |
| 003 Steps for designing FIR filters.en.srt |
33.90Кб |
| 003 Steps for designing FIR filters.mp4 |
100.58Мб |
| 004 AD Conversion With Python.en.srt |
13.68Кб |
| 004 AD Conversion With Python.mp4 |
74.08Мб |
| 004 FIR filter design by Least Square Method.en.srt |
16.96Кб |
| 004 FIR filter design by Least Square Method.mp4 |
85.44Мб |
| 004 Full mode convolution.en.srt |
3.76Кб |
| 004 Full mode convolution.mp4 |
8.60Мб |
| 004 Gaussian Mean Filter.en.srt |
11.77Кб |
| 004 Gaussian Mean Filter.mp4 |
46.84Мб |
| 004 Installing Python Packages.en.srt |
5.50Кб |
| 004 Installing Python Packages.mp4 |
16.70Мб |
| 004 Low Pass IIR filter.en.srt |
9.14Кб |
| 004 Low Pass IIR filter.mp4 |
44.26Мб |
| 004 Maths of Complex Numbers Part-02.en.srt |
4.92Кб |
| 004 Maths of Complex Numbers Part-02.mp4 |
17.83Мб |
| 004 Mechanism of Fourier Transform.en.srt |
25.97Кб |
| 004 Mechanism of Fourier Transform.mp4 |
112.67Мб |
| 005 Arithmatic with Python- Part 01.en.srt |
9.35Кб |
| 005 Arithmatic with Python- Part 01.mp4 |
34.97Мб |
| 005 Convolution using for loop in Python.en.srt |
30.00Кб |
| 005 Convolution using for loop in Python.mp4 |
140.19Мб |
| 005 FIR filter design by Window Method.en.srt |
9.26Кб |
| 005 FIR filter design by Window Method.mp4 |
46.00Мб |
| 005 Gaussian Mean Filter in Python.en.srt |
24.26Кб |
| 005 Gaussian Mean Filter in Python.mp4 |
139.86Мб |
| 005 High Pass IIR filter.en.srt |
8.45Кб |
| 005 High Pass IIR filter.mp4 |
38.47Мб |
| 005 Maths of Complex Numbers in Python.en.srt |
5.29Кб |
| 005 Maths of Complex Numbers in Python.mp4 |
21.24Мб |
| 005 Quantized to digital conversion.en.srt |
4.64Кб |
| 005 Quantized to digital conversion.mp4 |
13.96Мб |
| 005 Step by step coding of Fourier Transform.en.srt |
34.22Кб |
| 005 Step by step coding of Fourier Transform.mp4 |
180.49Мб |
| 006 Arithmatic with Python- Part 02.en.srt |
11.72Кб |
| 006 Arithmatic with Python- Part 02.mp4 |
40.24Мб |
| 006 Band Pass IIR filter.en.srt |
7.41Кб |
| 006 Band Pass IIR filter.mp4 |
45.25Мб |
| 006 Convolution using NumPy.en.srt |
7.26Кб |
| 006 Convolution using NumPy.mp4 |
42.35Мб |
| 006 Fast Fourier Transform.en.srt |
11.33Кб |
| 006 Fast Fourier Transform.mp4 |
50.17Мб |
| 006 FIR Zero Shift Filter.en.srt |
16.41Кб |
| 006 FIR Zero Shift Filter.mp4 |
87.07Мб |
| 006 Fundamental Continuous time signal.en.srt |
20.26Кб |
| 006 Fundamental Continuous time signal.mp4 |
58.74Мб |
| 006 Magnitude and Phase calculations.en.srt |
1.87Кб |
| 006 Magnitude and Phase calculations.mp4 |
7.37Мб |
| 006 Median Filter.en.srt |
9.49Кб |
| 006 Median Filter.mp4 |
33.49Мб |
| 007 Application 01 _ Signal denoising using Convolution.en.srt |
14.70Кб |
| 007 Application 01 _ Signal denoising using Convolution.mp4 |
84.78Мб |
| 007 Arithmatic with Python- Part 03.en.srt |
9.92Кб |
| 007 Arithmatic with Python- Part 03.mp4 |
31.90Мб |
| 007 Comparison between FIR and IIR Filters.en.srt |
3.15Кб |
| 007 Comparison between FIR and IIR Filters.mp4 |
13.36Мб |
| 007 Continuous time signals in Python.en.srt |
21.66Кб |
| 007 Continuous time signals in Python.mp4 |
118.08Мб |
| 007 FT of signal with DC component.en.srt |
13.27Кб |
| 007 FT of signal with DC component.mp4 |
64.51Мб |
| 007 Installing Packages.docx |
12.42Кб |
| 007 Low Pass FIR filter.en.srt |
10.75Кб |
| 007 Low Pass FIR filter.mp4 |
36.66Мб |
| 007 Magnitude and Phase calculations in Python.en.srt |
3.08Кб |
| 007 Magnitude and Phase calculations in Python.mp4 |
17.08Мб |
| 007 Median Filter in Python.en.srt |
8.77Кб |
| 007 Median Filter in Python.mp4 |
49.48Мб |
| 008 Amplitude and Power Spectrum.en.srt |
11.16Кб |
| 008 Amplitude and Power Spectrum.mp4 |
46.14Мб |
| 008 Application 02 _ Edge detection using Convolution.en.srt |
8.64Кб |
| 008 Application 02 _ Edge detection using Convolution.mp4 |
37.15Мб |
| 008 Complex Sine wave.en.srt |
2.03Кб |
| 008 Complex Sine wave.mp4 |
10.49Мб |
| 008 Dealing with Arrays-Part01.en.srt |
13.12Кб |
| 008 Dealing with Arrays-Part01.mp4 |
57.19Мб |
| 008 Fundamental Discrete time signals.en.srt |
9.58Кб |
| 008 Fundamental Discrete time signals.mp4 |
25.05Мб |
| 008 Low Pass FIR filter in Python.en.srt |
13.45Кб |
| 008 Low Pass FIR filter in Python.mp4 |
67.59Мб |
| 008 Removing Spiky Noise by Median Filter.en.srt |
5.98Кб |
| 008 Removing Spiky Noise by Median Filter.mp4 |
22.57Мб |
| 008 Task for students.en.srt |
1.17Кб |
| 008 Task for students.mp4 |
2.10Мб |
| 009 Complex Sine wave in Python.en.srt |
5.99Кб |
| 009 Complex Sine wave in Python.mp4 |
32.28Мб |
| 009 Convolution Theorem.en.srt |
11.23Кб |
| 009 Convolution Theorem.mp4 |
51.17Мб |
| 009 Dealing with arrays-Part02.en.srt |
13.66Кб |
| 009 Dealing with arrays-Part02.mp4 |
58.32Мб |
| 009 Discrete time signals in Python.en.srt |
20.73Кб |
| 009 Discrete time signals in Python.mp4 |
101.71Мб |
| 009 High Pass FIR filter.en.srt |
8.61Кб |
| 009 High Pass FIR filter.mp4 |
30.61Мб |
| 009 Inverse Fourier Transform.en.srt |
8.12Кб |
| 009 Inverse Fourier Transform.mp4 |
38.89Мб |
| 009 Removing Spiky Noise by Median Filter in Python Part-01.en.srt |
27.21Кб |
| 009 Removing Spiky Noise by Median Filter in Python Part-01.mp4 |
117.44Мб |
| 010 Application of FT _ Signal stationarity Part-01.en.srt |
6.50Кб |
| 010 Application of FT _ Signal stationarity Part-01.mp4 |
28.15Мб |
| 010 Dealing with arrays-Part03.en.srt |
24.06Кб |
| 010 Dealing with arrays-Part03.mp4 |
119.21Мб |
| 010 High Pass FIR filter in Python.en.srt |
8.78Кб |
| 010 High Pass FIR filter in Python.mp4 |
49.45Мб |
| 010 Removing Spiky Noise by Median Filter in Python Part-02.en.srt |
10.81Кб |
| 010 Removing Spiky Noise by Median Filter in Python Part-02.mp4 |
53.49Мб |
| 010 Sampling and Reconstruction.en.srt |
12.50Кб |
| 010 Sampling and Reconstruction.mp4 |
61.09Мб |
| 011 Application of FT _ Signal stationarity Part-02.en.srt |
6.77Кб |
| 011 Application of FT _ Signal stationarity Part-02.mp4 |
32.11Мб |
| 011 Band Pass FIR filter.en.srt |
8.79Кб |
| 011 Band Pass FIR filter.mp4 |
29.11Мб |
| 011 Plotting and Visualization-Part01.en.srt |
20.75Кб |
| 011 Plotting and Visualization-Part01.mp4 |
96.30Мб |
| 011 Sampling and Reconstruction in Python.en.srt |
16.27Кб |
| 011 Sampling and Reconstruction in Python.mp4 |
98.74Мб |
| 012 Band Pass FIR filter in Python.en.srt |
9.65Кб |
| 012 Band Pass FIR filter in Python.mp4 |
57.43Мб |
| 012 Plotting and Visualization-Part02.en.srt |
17.84Кб |
| 012 Plotting and Visualization-Part02.mp4 |
123.01Мб |
| 013 Plotting and Visualization-Part03.en.srt |
16.93Кб |
| 013 Plotting and Visualization-Part03.mp4 |
78.09Мб |
| 013 Tasks for students.en.srt |
1.98Кб |
| 013 Tasks for students.mp4 |
4.78Мб |
| 014 Plotting and Visualization-Part04.en.srt |
9.00Кб |
| 014 Plotting and Visualization-Part04.mp4 |
54.19Мб |
| 015 Lists in Python.en.srt |
25.56Кб |
| 015 Lists in Python.mp4 |
89.02Мб |
| 016 For Loops - Part01.en.srt |
25.68Кб |
| 016 For Loops - Part01.mp4 |
87.11Мб |
| 017 For Loops - Part02.en.srt |
25.46Кб |
| 017 For Loops - Part02.mp4 |
92.36Мб |
| 1 |
268.00Кб |
| 10 |
267.41Кб |
| 11 |
66.43Кб |
| 12 |
163.03Кб |
| 13 |
714.38Кб |
| 14 |
655.73Кб |
| 15 |
1002.66Кб |
| 16 |
783.51Кб |
| 17 |
912.41Кб |
| 18 |
950.76Кб |
| 19 |
577.50Кб |
| 2 |
144.17Кб |
| 20 |
227.94Кб |
| 21 |
932.02Кб |
| 22 |
945.37Кб |
| 23 |
407.41Кб |
| 24 |
419.38Кб |
| 25 |
499.65Кб |
| 26 |
935.97Кб |
| 27 |
701.51Кб |
| 28 |
927.63Кб |
| 29 |
548.72Кб |
| 3 |
1011.06Кб |
| 30 |
269.86Кб |
| 31 |
699.40Кб |
| 32 |
579.17Кб |
| 33 |
833.01Кб |
| 34 |
830.64Кб |
| 35 |
526.73Кб |
| 36 |
906.03Кб |
| 37 |
852.92Кб |
| 38 |
848.14Кб |
| 39 |
223.09Кб |
| 4 |
811.63Кб |
| 40 |
528.79Кб |
| 41 |
565.58Кб |
| 42 |
166.76Кб |
| 43 |
885.19Кб |
| 44 |
1.02Кб |
| 45 |
349.65Кб |
| 46 |
766.89Кб |
| 47 |
756.24Кб |
| 48 |
668.27Кб |
| 49 |
675.12Кб |
| 5 |
947.12Кб |
| 50 |
773.49Кб |
| 51 |
108.08Кб |
| 52 |
545.97Кб |
| 53 |
871.29Кб |
| 54 |
345.20Кб |
| 55 |
34.33Кб |
| 56 |
268.12Кб |
| 57 |
524.27Кб |
| 58 |
739.97Кб |
| 59 |
907.10Кб |
| 6 |
572.85Кб |
| 60 |
107.25Кб |
| 61 |
400.64Кб |
| 62 |
914.53Кб |
| 63 |
875.50Кб |
| 64 |
967.78Кб |
| 65 |
28.41Кб |
| 66 |
886.87Кб |
| 67 |
744.62Кб |
| 68 |
440.01Кб |
| 69 |
776.65Кб |
| 7 |
341.28Кб |
| 70 |
717.29Кб |
| 71 |
815.06Кб |
| 72 |
173.86Кб |
| 73 |
946.20Кб |
| 74 |
192.84Кб |
| 75 |
305.38Кб |
| 76 |
41.50Кб |
| 77 |
105.22Кб |
| 78 |
653.99Кб |
| 79 |
519.95Кб |
| 8 |
293.23Кб |
| 80 |
33.58Кб |
| 81 |
413.69Кб |
| 82 |
824.74Кб |
| 83 |
55.39Кб |
| 84 |
643.19Кб |
| 85 |
930.01Кб |
| 86 |
1000.49Кб |
| 87 |
222.38Кб |
| 88 |
837.18Кб |
| 89 |
949.09Кб |
| 9 |
431.80Кб |
| TutsNode.com.txt |
63б |