Udemy Signal processing problems, solved in MATLAB and in Python
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| Torrent Hash : | C9D0738D42AEE1239F7610AB1D510B1CC0FC7910 |
| Torrent Added : | 1 Year+ in Other - Other |
| Torrent Size : | 5.7 GB |
Udemy Signal processing problems, solved in MATLAB and in Python
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Torrent File Content (197 files)
Udemy - Signal processing problems, solved in MATLAB and in Python
1. Introductions
5. Writing code vs. using toolboxesprograms.mp4 -
1. Introductions
5. Writing code vs. using toolboxesprograms.mp4 -
53.11 MB
3. Using Octave-online in this course.mp4 -
33.55 MB
1. Signal processing = decision-making + tools.mp4 -
33.2 MB
6. Using the Q&A forum.mp4 -
26.82 MB
2. Using MATLAB in this course.mp4 -
24.34 MB
4. Using Python in this course.mp4 -
23.7 MB
5. Writing code vs. using toolboxesprograms.vtt -
8.45 KB
6. Using the Q&A forum.vtt -
6.36 KB
3. Using Octave-online in this course.vtt -
6.3 KB
1. Signal processing = decision-making + tools.vtt -
5.09 KB
2. Using MATLAB in this course.vtt -
4.6 KB
4. Using Python in this course.vtt -
4.38 KB
ReadMe.txt -
241 bytes
10. Feature detection
6. Application Detect muscle movements from EMG recordings.mp4 -
6. Application Detect muscle movements from EMG recordings.mp4 -
151.47 MB
4. Wavelet convolution for feature extraction.mp4 -
135.76 MB
7. Full width at half-maximum.mp4 -
131.28 MB
2. Local maxima and minima.mp4 -
126.65 MB
3. Recover signal from noise amplitude.mp4 -
104.34 MB
5. Area under the curve.mp4 -
91.16 MB
8. Code challenge find the features!.mp4 -
24.01 MB
1.1 sigprocMXC_featuredet.zip.zip -
1.73 MB
7. Full width at half-maximum.vtt -
21.48 KB
6. Application Detect muscle movements from EMG recordings.vtt -
21.38 KB
2. Local maxima and minima.vtt -
18.66 KB
4. Wavelet convolution for feature extraction.vtt -
17.26 KB
5. Area under the curve.vtt -
15.25 KB
3. Recover signal from noise amplitude.vtt -
14.72 KB
8. Code challenge find the features!.vtt -
4.06 KB
1. MATLAB and Python code for this section.html -
73 bytes
11. Variability
3. Signal-to-noise ratio (SNR).mp4 -
3. Signal-to-noise ratio (SNR).mp4 -
132.79 MB
5. Entropy.mp4 -
112.3 MB
2. Total and windowed variance and RMS.mp4 -
75.57 MB
4. Coefficient of variation (CV).mp4 -
28.8 MB
6. Code challenge.mp4 -
23.53 MB
1.1 sigprocMXC_variability.zip.zip -
22.16 MB
5. Entropy.vtt -
19.75 KB
3. Signal-to-noise ratio (SNR).vtt -
17.85 KB
2. Total and windowed variance and RMS.vtt -
12.95 KB
4. Coefficient of variation (CV).vtt -
6.08 KB
6. Code challenge.vtt -
3.7 KB
1. MATLAB and Python code for this section.html -
47 bytes
12. Discounts on related courses
2. Bonus Coupons for related courses.html -
2. Bonus Coupons for related courses.html -
2.53 KB
1. Join the community!.html -
553 bytes
2. Time series denoising
8. Remove nonlinear trend with polynomials.mp4 -
8. Remove nonlinear trend with polynomials.mp4 -
109.31 MB
3. Gaussian-smooth a time series.mp4 -
96.15 MB
10. Remove artifact via least-squares template-matching.mp4 -
84.98 MB
6. Median filter to remove spike noise.mp4 -
77.1 MB
2. Mean-smooth a time series.mp4 -
66.16 MB
5. Denoising EMG signals via TKEO.mp4 -
57.17 MB
9. Averaging multiple repetitions (time-synchronous averaging).mp4 -
49.75 MB
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