Filename | Size |
| 1. Introductions/1. Signal processing = decision-making + tools.mp4 | 33.2 MB |
| 1. Introductions/1. Signal processing = decision-making + tools.vtt | 5.1 KB |
| 1. Introductions/2. Using MATLAB in this course.mp4 | 24.3 MB |
| 1. Introductions/2. Using MATLAB in this course.vtt | 4.6 KB |
| 1. Introductions/3. Using Octave-online in this course.mp4 | 33.5 MB |
| 1. Introductions/3. Using Octave-online in this course.vtt | 6.3 KB |
| 1. Introductions/4. Using Python in this course.mp4 | 23.7 MB |
| 1. Introductions/4. Using Python in this course.vtt | 4.4 KB |
| 1. Introductions/5. Writing code vs. using toolboxesprograms.mp4 | 53.1 MB |
| 1. Introductions/5. Writing code vs. using toolboxesprograms.vtt | 8.5 KB |
| 1. Introductions/6. Using the Q&A forum.mp4 | 26.8 MB |
| 1. Introductions/6. Using the Q&A forum.vtt | 6.4 KB |
| 1. Introductions/ReadMe.txt | 241 B |
| 10. Feature detection/1. MATLAB and Python code for this section.html | 73 B |
| 10. Feature detection/1.1 sigprocMXC_featuredet.zip.zip | 1.7 MB |
| 10. Feature detection/2. Local maxima and minima.mp4 | 126.6 MB |
| 10. Feature detection/2. Local maxima and minima.vtt | 18.7 KB |
| 10. Feature detection/3. Recover signal from noise amplitude.mp4 | 104.3 MB |
| 10. Feature detection/3. Recover signal from noise amplitude.vtt | 14.7 KB |
| 10. Feature detection/4. Wavelet convolution for feature extraction.mp4 | 135.8 MB |
| 10. Feature detection/4. Wavelet convolution for feature extraction.vtt | 17.3 KB |
| 10. Feature detection/5. Area under the curve.mp4 | 91.2 MB |
| 10. Feature detection/5. Area under the curve.vtt | 15.3 KB |
| 10. Feature detection/6. Application Detect muscle movements from EMG recordings.mp4 | 151.5 MB |
| 10. Feature detection/6. Application Detect muscle movements from EMG recordings.vtt | 21.4 KB |
| 10. Feature detection/7. Full width at half-maximum.mp4 | 131.3 MB |
| 10. Feature detection/7. Full width at half-maximum.vtt | 21.5 KB |
| 10. Feature detection/8. Code challenge find the features!.mp4 | 24 MB |
| 10. Feature detection/8. Code challenge find the features!.vtt | 4.1 KB |
| 11. Variability/1. MATLAB and Python code for this section.html | 47 B |
| 11. Variability/1.1 sigprocMXC_variability.zip.zip | 22.2 MB |
| 11. Variability/2. Total and windowed variance and RMS.mp4 | 75.6 MB |
| 11. Variability/2. Total and windowed variance and RMS.vtt | 12.9 KB |
| 11. Variability/3. Signal-to-noise ratio (SNR).mp4 | 132.8 MB |
| 11. Variability/3. Signal-to-noise ratio (SNR).vtt | 17.8 KB |
| 11. Variability/4. Coefficient of variation (CV).mp4 | 28.8 MB |
| 11. Variability/4. Coefficient of variation (CV).vtt | 6.1 KB |
| 11. Variability/5. Entropy.mp4 | 112.3 MB |
| 11. Variability/5. Entropy.vtt | 19.8 KB |
| 11. Variability/6. Code challenge.mp4 | 23.5 MB |
| 11. Variability/6. Code challenge.vtt | 3.7 KB |
| 12. Discounts on related courses/1. Join the community!.html | 553 B |
| 12. Discounts on related courses/2. Bonus Coupons for related courses.html | 2.5 KB |
| 2. Time series denoising/1. MATLAB and Python code for this section.html | 84 B |
| 2. Time series denoising/1.1 sigprocMXC_TimeSeriesDenoising.zip.zip | 11.8 MB |
| 2. Time series denoising/10. Remove artifact via least-squares template-matching.mp4 | 85 MB |
| 2. Time series denoising/10. Remove artifact via least-squares template-matching.vtt | 12.3 KB |
| 2. Time series denoising/11. Code challenge Denoise these signals!.mp4 | 7.5 MB |
| 2. Time series denoising/11. Code challenge Denoise these signals!.vtt | 1.3 KB |
| 2. Time series denoising/2. Mean-smooth a time series.mp4 | 66.2 MB |
| 2. Time series denoising/2. Mean-smooth a time series.vtt | 10.2 KB |
| 2. Time series denoising/3. Gaussian-smooth a time series.mp4 | 96.2 MB |
| 2. Time series denoising/3. Gaussian-smooth a time series.vtt | 16.4 KB |
| 2. Time series denoising/4. Gaussian-smooth a spike time series.mp4 | 42.2 MB |
| 2. Time series denoising/4. Gaussian-smooth a spike time series.vtt | 6.4 KB |
| 2. Time series denoising/5. Denoising EMG signals via TKEO.mp4 | 57.2 MB |
| 2. Time series denoising/5. Denoising EMG signals via TKEO.vtt | 9.7 KB |
| 2. Time series denoising/6. Median filter to remove spike noise.mp4 | 77.1 MB |
| 2. Time series denoising/6. Median filter to remove spike noise.vtt | 12.2 KB |
| 2. Time series denoising/7. Remove linear trend (detrending).mp4 | 12.9 MB |
| 2. Time series denoising/7. Remove linear trend (detrending).vtt | 2.6 KB |
| 2. Time series denoising/8. Remove nonlinear trend with polynomials.mp4 | 109.3 MB |
| 2. Time series denoising/8. Remove nonlinear trend with polynomials.vtt | 18.2 KB |
| 2. Time series denoising/9. Averaging multiple repetitions (time-synchronous averaging).mp4 | 49.7 MB |
| 2. Time series denoising/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 | 99 B |
| 3. Spectral and rhythmicity analyses/1.1 sigprocMXC_spectral.zip.zip | 2.3 MB |
| 3. Spectral and rhythmicity analyses/2. Crash course on the Fourier transform.mp4 | 116.9 MB |
| 3. Spectral and rhythmicity analyses/2. Crash course on the Fourier transform.vtt | 18.6 KB |
| 3. Spectral and rhythmicity analyses/3. Fourier transform for spectral analyses.mp4 | 174 MB |
| 3. Spectral and rhythmicity analyses/3. Fourier transform for spectral analyses.vtt | 23 KB |
| 3. Spectral and rhythmicity analyses/4. Welch's method and windowing.mp4 | 121.9 MB |
| 3. Spectral and rhythmicity analyses/4. Welch's method and windowing.vtt | 18.5 KB |
| 3. Spectral and rhythmicity analyses/5. Spectrogram of birdsong.mp4 | 76.1 MB |
| 3. Spectral and rhythmicity analyses/5. Spectrogram of birdsong.vtt | 9.6 KB |
| 3. Spectral and rhythmicity analyses/6. Code challenge Compute a spectrogram!.mp4 | 15.2 MB |
| 3. Spectral and rhythmicity analyses/6. Code challenge Compute a spectrogram!.vtt | 3.1 KB |
| 4. Working with complex numbers/1. MATLAB and Python code for this section.html | 46 B |
| 4. Working with complex numbers/1.1 sigprocMXC_complex.zip.zip | 38.1 KB |
| 4. Working with complex numbers/2. From the number line to the complex number plane.mp4 | 55.2 MB |
| 4. Working with complex numbers/2. From the number line to the complex number plane.vtt | 12.4 KB |
| 4. Working with complex numbers/3. Addition and subtraction with complex numbers.mp4 | 19.9 MB |
| 4. Working with complex numbers/3. Addition and subtraction with complex numbers.vtt | 4.5 KB |
| 4. Working with complex numbers/4. Multiplication with complex numbers.mp4 | 39 MB |
| 4. Working with complex numbers/4. Multiplication with complex numbers.vtt | 8 KB |
| 4. Working with complex numbers/5. The complex conjugate.mp4 | 23.1 MB |
| 4. Working with complex numbers/5. The complex conjugate.vtt | 5.4 KB |
| 4. Working with complex numbers/6. Division with complex numbers.mp4 | 18.8 MB |
| 4. Working with complex numbers/6. Division with complex numbers.vtt | 4.5 KB |
| 4. Working with complex numbers/7. Magnitude and phase of complex numbers.mp4 | 48.3 MB |
| 4. Working with complex numbers/7. Magnitude and phase of complex numbers.vtt | 9.4 KB |
| 5. Filtering/10. Windowed-sinc filters.mp4 | 87.7 MB |
| 5. Filtering/14. Quantifying roll-off characteristics.mp4 | 87.1 MB |
| 5. Filtering/15. Remove electrical line noise and its harmonics.mp4 | 91.1 MB |
| 5. Filtering/2. Filtering Intuition, goals, and types.mp4 | 115.2 MB |
| 5. Filtering/3. FIR filters with firls.mp4 | 119.8 MB |
| 5. Filtering/5. IIR Butterworth filters.mp4 | 80.3 MB |
| 5. Filtering/6. Causal and zero-phase-shift filters.mp4 | 82.5 MB |
| 5. Filtering/7. Avoid edge effects with reflection.mp4 | 99.3 MB |