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3. Spectral and rhythmicity analyses/3. Fourier transform for spectral analyses.mp4 182.4 MB
10. Feature detection/6. Application Detect muscle movements from EMG recordings.mp4 158.8 MB
7. Wavelet analysis/8. MATLAB Time-frequency analysis with complex wavelets.mp4 147.2 MB
7. Wavelet analysis/5. Wavelet convolution for narrowband filtering.mp4 142.5 MB
10. Feature detection/4. Wavelet convolution for feature extraction.mp4 142.4 MB
11. Variability/3. Signal-to-noise ratio (SNR).mp4 139.2 MB
10. Feature detection/7. Full width at half-maximum.mp4 137.7 MB
10. Feature detection/2. Local maxima and minima.mp4 132.8 MB
8. Resampling, interpolating, extrapolating/9. Dynamic time warping.mp4 128.5 MB
3. Spectral and rhythmicity analyses/4. Welch's method and windowing.mp4 127.8 MB
5. Filtering/3. FIR filters with firls.mp4 125.7 MB
3. Spectral and rhythmicity analyses/2. Crash course on the Fourier transform.mp4 122.5 MB
5. Filtering/2. Filtering Intuition, goals, and types.mp4 120.8 MB
11. Variability/5. Entropy.mp4 117.8 MB
8. Resampling, interpolating, extrapolating/3. Downsampling.mp4 116.1 MB
2. Time series denoising/8. Remove nonlinear trend with polynomials.mp4 114.6 MB
10. Feature detection/3. Recover signal from noise amplitude.mp4 109.4 MB
8. Resampling, interpolating, extrapolating/2. Upsampling.mp4 105.8 MB
6. Convolution/3. Convolution in MATLAB.mp4 105.6 MB
5. Filtering/7. Avoid edge effects with reflection.mp4 104.1 MB