| 3. Spectral and rhythmicity analyses/3. Fourier transform for spectral analyses.mp4 | 173.98 MB |
| 10. Feature detection/6. Application Detect muscle movements from EMG recordings.mp4 | 151.47 MB |
| 7. Wavelet analysis/8. MATLAB Time-frequency analysis with complex wavelets.mp4 | 140.35 MB |
| 7. Wavelet analysis/5. Wavelet convolution for narrowband filtering.mp4 | 135.88 MB |
| 10. Feature detection/4. Wavelet convolution for feature extraction.mp4 | 135.76 MB |
| 11. Variability/3. Signal-to-noise ratio (SNR).mp4 | 132.79 MB |
| 10. Feature detection/7. Full width at half-maximum.mp4 | 131.28 MB |
| 10. Feature detection/2. Local maxima and minima.mp4 | 126.65 MB |
| 8. Resampling, interpolating, extrapolating/9. Dynamic time warping.mp4 | 122.58 MB |
| 3. Spectral and rhythmicity analyses/4. Welch's method and windowing.mp4 | 121.88 MB |
| 5. Filtering/3. FIR filters with firls.mp4 | 119.83 MB |
| 3. Spectral and rhythmicity analyses/2. Crash course on the Fourier transform.mp4 | 116.86 MB |
| 5. Filtering/2. Filtering Intuition, goals, and types.mp4 | 115.25 MB |
| 11. Variability/5. Entropy.mp4 | 112.3 MB |
| 8. Resampling, interpolating, extrapolating/3. Downsampling.mp4 | 110.76 MB |
| 2. Time series denoising/8. Remove nonlinear trend with polynomials.mp4 | 109.31 MB |
| 10. Feature detection/3. Recover signal from noise amplitude.mp4 | 104.34 MB |
| 8. Resampling, interpolating, extrapolating/2. Upsampling.mp4 | 100.91 MB |
| 6. Convolution/3. Convolution in MATLAB.mp4 | 100.74 MB |
| 5. Filtering/7. Avoid edge effects with reflection.mp4 | 99.3 MB |
| 2. Time series denoising/3. Gaussian-smooth a time series.mp4 | 96.15 MB |
| 8. Resampling, interpolating, extrapolating/6. Resample irregularly sampled data.mp4 | 93.92 MB |
| 7. Wavelet analysis/2. What are wavelets.mp4 | 93.01 MB |
| 10. Feature detection/5. Area under the curve.mp4 | 91.16 MB |
| 5. Filtering/15. Remove electrical line noise and its harmonics.mp4 | 91.1 MB |
| 5. Filtering/10. Windowed-sinc filters.mp4 | 87.7 MB |
| 6. Convolution/6. Thinking about convolution as spectral multiplication.mp4 | 87.65 MB |
| 5. Filtering/14. Quantifying roll-off characteristics.mp4 | 87.08 MB |
| 2. Time series denoising/10. Remove artifact via least-squares template-matching.mp4 | 84.98 MB |
| 5. Filtering/6. Causal and zero-phase-shift filters.mp4 | 82.47 MB |
| 5. Filtering/5. IIR Butterworth filters.mp4 | 80.32 MB |
| 9. Outlier detection/3. Outliers via local threshold exceedance.mp4 | 77.34 MB |
| 8. Resampling, interpolating, extrapolating/8. Spectral interpolation.mp4 | 77.28 MB |
| 2. Time series denoising/6. Median filter to remove spike noise.mp4 | 77.1 MB |
| 3. Spectral and rhythmicity analyses/5. Spectrogram of birdsong.mp4 | 76.15 MB |
| 11. Variability/2. Total and windowed variance and RMS.mp4 | 75.57 MB |
| 5. Filtering/16. Use filtering to separate birds in a recording.mp4 | 74.66 MB |
| 6. Convolution/2. Time-domain convolution.mp4 | 71.11 MB |
| 9. Outlier detection/2. Outliers via standard deviation threshold.mp4 | 69.63 MB |
| 6. Convolution/5. The convolution theorem.mp4 | 68.76 MB |
| 2. Time series denoising/2. Mean-smooth a time series.mp4 | 66.16 MB |
| 5. Filtering/8. Data length and filter kernel length.mp4 | 65.02 MB |
| 5. Filtering/9. Low-pass filters.mp4 | 64.01 MB |
| 7. Wavelet analysis/9. Time-frequency analysis of brain signals.mp4 | 63.48 MB |
| 2. Time series denoising/5. Denoising EMG signals via TKEO.mp4 | 57.17 MB |
| 5. Filtering/12. Narrow-band filters.mp4 | 55.9 MB |
| 4. Working with complex numbers/2. From the number line to the complex number plane.mp4 | 55.24 MB |
| 8. Resampling, interpolating, extrapolating/5. Interpolation.mp4 | 55.2 MB |
| 1. Introductions/5. Writing code vs. using toolboxesprograms.mp4 | 53.11 MB |
| 5. Filtering/11. High-pass filters.mp4 | 52.42 MB |