Udemy - Signal Processing Problems, Solved In MATLAB And In Python [TP]

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[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 (5.1 KB)
  • 2. Using MATLAB in this course.mp4 (24.3 MB)
  • 2. Using MATLAB in this course.vtt (4.6 KB)
  • 3. Using Octave-online in this course.mp4 (33.5 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 (4.4 KB)
  • 5. Writing code vs. using toolboxesprograms.mp4 (53.1 MB)
  • 5. Writing code vs. using toolboxesprograms.vtt (8.5 KB)
  • 6. Using the Q&A forum.mp4 (26.8 MB)
  • 6. Using the Q&A forum.vtt (6.4 KB)
10. Feature detection
  • 1. MATLAB and Python code for this section.html (0.1 KB)
  • 1.1 sigprocMXC_featuredet.zip.zip (1.7 MB)
  • 2. Local maxima and minima.mp4 (126.6 MB)
  • 2. Local maxima and minima.vtt (18.7 KB)
  • 3. Recover signal from noise amplitude.mp4 (104.3 MB)
  • 3. Recover signal from noise amplitude.vtt (14.7 KB)
  • 4. Wavelet convolution for feature extraction.mp4 (135.8 MB)
  • 4. Wavelet convolution for feature extraction.vtt (17.3 KB)
  • 5. Area under the curve.mp4 (91.2 MB)
  • 5. Area under the curve.vtt (15.3 KB)
  • 6. Application Detect muscle movements from EMG recordings.mp4 (151.5 MB)
  • 6. Application Detect muscle movements from EMG recordings.vtt (21.4 KB)
  • 7. Full width at half-maximum.mp4 (131.3 MB)
  • 7. Full width at half-maximum.vtt (21.5 KB)
  • 8. Code challenge find the features!.mp4 (24.0 MB)
  • 8. Code challenge find the features!.vtt (4.1 KB)
11. Variability
  • 1. MATLAB and Python code for this section.html (0.0 KB)
  • 1.1 sigprocMXC_variability.zip.zip (22.2 MB)
  • 2. Total and windowed variance and RMS.mp4 (75.6 MB)
  • 2. Total and windowed variance and RMS.vtt (12.9 KB)
  • 3. Signal-to-noise ratio (SNR).mp4 (132.8 MB)
  • 3. Signal-to-noise ratio (SNR).vtt (17.8 KB)
  • 4. Coefficient of variation (CV).mp4 (28.8 MB)
  • 4. Coefficient of variation (CV).vtt (6.1 KB)
  • 5. Entropy.mp4 (112.3 MB)
  • 5. Entropy.vtt (19.8 KB)
  • 6. Code challenge.mp4 (23.5 MB)
  • 6. Code challenge.vtt (3.7 KB)
12. Discounts on related courses
  • 1. Join the community!.html (0.5 KB)
  • 2. Bonus Coupons for related courses.html (2.5 KB)
2. Time series denoising
  • 1. MATLAB and Python code for this section.html (0.1 KB)
  • 1.1 sigprocMXC_TimeSeriesDenoising.zip.zip (11.8 MB)
  • 10. Remove artifact via least-squares template-matching.mp4 (85.0 MB)
  • 10. Remove artifact via least-squares template-matching.vtt (12.3 KB)
  • 11. Code challenge Denoise these signals!.mp4 (7.5 MB)
  • 11. Code challenge Denoise these signals!.vtt (1.3 KB)
  • 2. Mean-smooth a time series.mp4 (66.2 MB)
  • 2. Mean-smooth a time series.vtt (10.2 KB)
  • 3. Gaussian-smooth a time series.mp4 (96.2 MB)
  • 3. Gaussian-smooth a time series.vtt (16.4 KB)
  • 4. Gaussian-smooth a spike time series.mp4 (42.2 MB)
  • 4. Gaussian-smooth a spike time series.vtt (6.4 KB)
  • 5. Denoising EMG signals via TKEO.mp4 (57.2 MB)
  • 5. Denoising EMG signals via TKEO.vtt (9.7 KB)
  • 6. Median filter to remove spike noise.mp4 (77.1 MB)
  • 6. Median filter to remove spike noise.vtt (12.2 KB)
  • 7. Remove linear trend (detrending).mp4 (12.9 MB)
  • 7. Remove linear trend (detrending).vtt (2.6 KB)
  • 8. Remove nonlinear trend with polynomials.mp4 (109.3 MB)
  • 8. Remove nonlinear trend with polynomials.vtt (18.2 KB)
  • 9. Averaging multiple repetitions (time-synchronous averaging).mp4 (49.7 MB)
  • 9. Averaging multiple repetitions (time-synchronous averaging).vtt (6.5 KB)
3. Spectral and rhythmicity analyses
  • 1. MATLAB and Python code for this section.html (0.1 KB)
  • 1.1 sigprocMXC_spectral.zip.zip (2.3 MB)
  • 2. Crash course on the Fourier transform.mp4 (116.9 MB)
  • 2. Crash course on the Fourier transform.vtt (18.6 KB)
  • 3. Fourier transform for spectral analyses.mp4 (174.0 MB)
  • 3. Fourier transform for spectral analyses.vtt (23.0 KB)
  • 4. Welch's method and windowing.mp4 (121.9 MB)
  • 4. Welch's method and windowing.vtt (18.5 KB)
  • 5. Spectrogram of birdsong.mp4 (76.1 MB)
  • 5. Spectrogram of birdsong.vtt (9.6 KB)
  • 6. Code challenge Compute a spectrogram!.mp4 (15.2 MB)
  • 6. Code challenge Compute a spectrogram!.vtt (3.1 KB)
4. Working with complex numbers
  • 1. MATLAB and Python code for this section.html (0.0 KB)
  • 1.1 sigprocMXC_complex.zip.zip (38.1 KB)
  • 2. From the number line to the complex number plane.mp4 (55.2 MB)
  • 2. From the number line to the complex number plane.vtt (12.4 KB)
  • 3. Addition and subtraction with complex numbers.mp4 (19.9 MB)
  • 3. Addition and subtraction with complex numbers.vtt (4.5 KB)
  • 4. Multiplication with complex numbers.mp4 (39.0 MB)
  • 4. Multiplication with complex numbers.vtt (8.0 KB)
  • 5. The complex conjugate.mp4 (23.1 MB)
  • 5. The complex conjugate.vtt (5.4 KB)
  • 6. Division with complex numbers.mp4 (18.8 MB)
  • 6. Division with complex numbers.vtt (4.5 KB)
  • 7. Magnitude and phase of complex numbers.mp4 (48.3 MB)
  • 7. Magnitude and phase of complex numbers.vtt (9.4 KB)
5. Filtering
  • 1. MATLAB and Python code for this section.html (0.1 KB)
  • 1.1 sigprocMXC_filtering.zip.zip (4.6 MB)
  • 10. Windowed-sinc filters.mp4 (87.7 MB)
  • 10. Windowed-sinc filters.vtt (14.2 KB)
  • 11. High-pass filters.mp4 (52.4 MB)
  • 11. High-pass filters.vtt (7.2 KB)
  • 12. Narrow-band filters.mp4 (55.9 MB)
  • 12. Narrow-band filters.vtt (7.9 KB)
  • 13.

Description

Udemy - Signal Processing Problems, Solved In MATLAB And In Python [TP]

Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes

For more Udemy Courses: https://tutorialsplanet.net



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Udemy - Signal Processing Problems, Solved In MATLAB And In Python [TP]

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5.7 GB
seeders:4
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Udemy - Signal Processing Problems, Solved In MATLAB And In Python [TP]

Torrent hash: BC3627211CF1F917D23212DFBA28AE2CBC190A17