[Tutorialsplanet NET] Udemy - Signal processing problems, solved in MATLAB and in Python


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Torrent File Content (194 files)


[Tutorialsplanet.NET] Udemy - Signal processing problems, solved in MATLAB and in Python
    1. Introductions
          1. Signal processing = decision-making + tools.mp4 -
33.2 MB

          1. Signal processing = decision-making + tools.vtt -
5.09 KB

          2. Using MATLAB in this course.mp4 -
24.34 MB

          2. Using MATLAB in this course.vtt -
4.6 KB

          3. Using Octave-online in this course.mp4 -
33.55 MB

          3. Using Octave-online in this course.vtt -
6.3 KB

          4. Using Python in this course.mp4 -
23.7 MB

          4. Using Python in this course.vtt -
4.38 KB

          5. Writing code vs. using toolboxesprograms.mp4 -
53.11 MB

          5. Writing code vs. using toolboxesprograms.vtt -
8.45 KB

          6. Using the Q&A forum.mp4 -
26.82 MB

          6. Using the Q&A forum.vtt -
6.36 KB

    10. Feature detection
          1. MATLAB and Python code for this section.html -
73 bytes

          1.1 sigprocMXC_featuredet.zip.zip -
1.73 MB

          2. Local maxima and minima.mp4 -
126.65 MB

          2. Local maxima and minima.vtt -
18.66 KB

          3. Recover signal from noise amplitude.mp4 -
104.34 MB

          3. Recover signal from noise amplitude.vtt -
14.72 KB

          4. Wavelet convolution for feature extraction.mp4 -
135.76 MB

          4. Wavelet convolution for feature extraction.vtt -
17.26 KB

          5. Area under the curve.mp4 -
91.16 MB

          5. Area under the curve.vtt -
15.25 KB

          6. Application Detect muscle movements from EMG recordings.mp4 -
151.47 MB

          6. Application Detect muscle movements from EMG recordings.vtt -
21.38 KB

          7. Full width at half-maximum.mp4 -
131.28 MB

          7. Full width at half-maximum.vtt -
21.48 KB

          8. Code challenge find the features!.mp4 -
24.01 MB

          8. Code challenge find the features!.vtt -
4.06 KB

    11. Variability
          1. MATLAB and Python code for this section.html -
47 bytes

          1.1 sigprocMXC_variability.zip.zip -
22.16 MB

          2. Total and windowed variance and RMS.mp4 -
75.57 MB

          2. Total and windowed variance and RMS.vtt -
12.95 KB

          3. Signal-to-noise ratio (SNR).mp4 -
132.79 MB

          3. Signal-to-noise ratio (SNR).vtt -
17.85 KB

          4. Coefficient of variation (CV).mp4 -
28.8 MB

          4. Coefficient of variation (CV).vtt -
6.08 KB

          5. Entropy.mp4 -
112.3 MB

          5. Entropy.vtt -
19.75 KB

          6. Code challenge.mp4 -
23.53 MB

          6. Code challenge.vtt -
3.7 KB

    12. Discounts on related courses
          1. Join the community!.html -
553 bytes

          2. Bonus Coupons for related courses.html -
2.53 KB

    2. Time series denoising
          1. MATLAB and Python code for this section.html -
84 bytes

          1.1 sigprocMXC_TimeSeriesDenoising.zip.zip -
11.78 MB

          10. Remove artifact via least-squares template-matching.mp4 -
84.98 MB

          10. Remove artifact via least-squares template-matching.vtt -
12.34 KB

          11. Code challenge Denoise these signals!.mp4 -
7.5 MB

          11. Code challenge Denoise these signals!.vtt -
1.32 KB

          2. Mean-smooth a time series.mp4 -
66.16 MB

          2. Mean-smooth a time series.vtt -
10.21 KB



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