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TORRENT DETAILS

Udemy - Signal Processing Problems, Solved In MATLAB And In Python

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	c9d0738d42aee1239f7610ab1d510b1cc0fc7910
Size:	5.7 GB in 99 files
Release Date(s):	Torrent Release: 08-01-2020 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

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FILE LIST

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

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