[Tutorialsplanet.NET] Udemy - Signal Processing Problems, Solved In MATLAB And In Python

Torrent Details

[Tutorialsplanet.NET] Udemy - Signal processing problems, solved in MATLAB and in Python[Tutorialsplanet.NET] Udemy - Signal processing problems, solved in MATLAB and in Python

NAME
[Tutorialsplanet.NET] Udemy - Signal processing problems, solved in MATLAB and in Python.torrent
CATEGORY
Other
INFOHASH
bc3627211cf1f917d23212dfba28ae2cbc190a17
SIZE
5.7 GB in 99 files
ADDED
Uploaded on 18-10-2019 by our crawler pet called "Spidey".
SWARM
0 seeders & 1 peers
RATING
No votes yet.

Please login to vote for this torrent.


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

Discussion

Comments 0

Post Your Comment

Files in this torrent

FILENAMESIZE
1. Introductions/1. Signal processing = decision-making + tools.mp433.2 MB
1. Introductions/1. Signal processing = decision-making + tools.vtt5.1 KB
1. Introductions/2. Using MATLAB in this course.mp424.3 MB
1. Introductions/2. Using MATLAB in this course.vtt4.6 KB
1. Introductions/3. Using Octave-online in this course.mp433.5 MB
1. Introductions/3. Using Octave-online in this course.vtt6.3 KB
1. Introductions/4. Using Python in this course.mp423.7 MB
1. Introductions/4. Using Python in this course.vtt4.4 KB
1. Introductions/5. Writing code vs. using toolboxesprograms.mp453.1 MB
1. Introductions/5. Writing code vs. using toolboxesprograms.vtt8.5 KB
1. Introductions/6. Using the Q&A forum.mp426.8 MB
1. Introductions/6. Using the Q&A forum.vtt6.4 KB
10. Feature detection/1. MATLAB and Python code for this section.html73 B
10. Feature detection/1.1 sigprocMXC_featuredet.zip.zip1.7 MB
10. Feature detection/2. Local maxima and minima.mp4126.6 MB
10. Feature detection/2. Local maxima and minima.vtt18.7 KB
10. Feature detection/3. Recover signal from noise amplitude.mp4104.3 MB
10. Feature detection/3. Recover signal from noise amplitude.vtt14.7 KB
10. Feature detection/4. Wavelet convolution for feature extraction.mp4135.8 MB
10. Feature detection/4. Wavelet convolution for feature extraction.vtt17.3 KB
10. Feature detection/5. Area under the curve.mp491.2 MB
10. Feature detection/5. Area under the curve.vtt15.3 KB
10. Feature detection/6. Application Detect muscle movements from EMG recordings.mp4151.5 MB
10. Feature detection/6. Application Detect muscle movements from EMG recordings.vtt21.4 KB
10. Feature detection/7. Full width at half-maximum.mp4131.3 MB
10. Feature detection/7. Full width at half-maximum.vtt21.5 KB
10. Feature detection/8. Code challenge find the features!.mp424 MB
10. Feature detection/8. Code challenge find the features!.vtt4.1 KB
11. Variability/1. MATLAB and Python code for this section.html47 B
11. Variability/1.1 sigprocMXC_variability.zip.zip22.2 MB
11. Variability/2. Total and windowed variance and RMS.mp475.6 MB
11. Variability/2. Total and windowed variance and RMS.vtt12.9 KB
11. Variability/3. Signal-to-noise ratio (SNR).mp4132.8 MB
11. Variability/3. Signal-to-noise ratio (SNR).vtt17.8 KB
11. Variability/4. Coefficient of variation (CV).mp428.8 MB
11. Variability/4. Coefficient of variation (CV).vtt6.1 KB
11. Variability/5. Entropy.mp4112.3 MB
11. Variability/5. Entropy.vtt19.8 KB
11. Variability/6. Code challenge.mp423.5 MB
11. Variability/6. Code challenge.vtt3.7 KB
12. Discounts on related courses/1. Join the community!.html553 B
12. Discounts on related courses/2. Bonus Coupons for related courses.html2.5 KB
2. Time series denoising/1. MATLAB and Python code for this section.html84 B
2. Time series denoising/1.1 sigprocMXC_TimeSeriesDenoising.zip.zip11.8 MB
2. Time series denoising/10. Remove artifact via least-squares template-matching.mp485 MB
2. Time series denoising/10. Remove artifact via least-squares template-matching.vtt12.3 KB
2. Time series denoising/11. Code challenge Denoise these signals!.mp47.5 MB
2. Time series denoising/11. Code challenge Denoise these signals!.vtt1.3 KB
2. Time series denoising/2. Mean-smooth a time series.mp466.2 MB
2. Time series denoising/2. Mean-smooth a time series.vtt10.2 KB
2. Time series denoising/3. Gaussian-smooth a time series.mp496.2 MB
2. Time series denoising/3. Gaussian-smooth a time series.vtt16.4 KB
2. Time series denoising/4. Gaussian-smooth a spike time series.mp442.2 MB
2. Time series denoising/4. Gaussian-smooth a spike time series.vtt6.4 KB
2. Time series denoising/5. Denoising EMG signals via TKEO.mp457.2 MB
2. Time series denoising/5. Denoising EMG signals via TKEO.vtt9.7 KB
2. Time series denoising/6. Median filter to remove spike noise.mp477.1 MB
2. Time series denoising/6. Median filter to remove spike noise.vtt12.2 KB
2. Time series denoising/7. Remove linear trend (detrending).mp412.9 MB
2. Time series denoising/7. Remove linear trend (detrending).vtt2.6 KB
2. Time series denoising/8. Remove nonlinear trend with polynomials.mp4109.3 MB
2. Time series denoising/8. Remove nonlinear trend with polynomials.vtt18.2 KB
2. Time series denoising/9. Averaging multiple repetitions (time-synchronous averaging).mp449.7 MB
2. Time series denoising/9. Averaging multiple repetitions (time-synchronous averaging).vtt6.5 KB
3. Spectral and rhythmicity analyses/1. MATLAB and Python code for this section.html99 B
3. Spectral and rhythmicity analyses/1.1 sigprocMXC_spectral.zip.zip2.3 MB
3. Spectral and rhythmicity analyses/2. Crash course on the Fourier transform.mp4116.9 MB
3. Spectral and rhythmicity analyses/2. Crash course on the Fourier transform.vtt18.6 KB
3. Spectral and rhythmicity analyses/3. Fourier transform for spectral analyses.mp4174 MB
3. Spectral and rhythmicity analyses/3. Fourier transform for spectral analyses.vtt23 KB
3. Spectral and rhythmicity analyses/4. Welch's method and windowing.mp4121.9 MB
3. Spectral and rhythmicity analyses/4. Welch's method and windowing.vtt18.5 KB
3. Spectral and rhythmicity analyses/5. Spectrogram of birdsong.mp476.1 MB
3. Spectral and rhythmicity analyses/5. Spectrogram of birdsong.vtt9.6 KB
3. Spectral and rhythmicity analyses/6. Code challenge Compute a spectrogram!.mp415.2 MB
3. Spectral and rhythmicity analyses/6. Code challenge Compute a spectrogram!.vtt3.1 KB
4. Working with complex numbers/1. MATLAB and Python code for this section.html46 B
4. Working with complex numbers/1.1 sigprocMXC_complex.zip.zip38.1 KB
4. Working with complex numbers/2. From the number line to the complex number plane.mp455.2 MB
4. Working with complex numbers/2. From the number line to the complex number plane.vtt12.4 KB
4. Working with complex numbers/3. Addition and subtraction with complex numbers.mp419.9 MB
4. Working with complex numbers/3. Addition and subtraction with complex numbers.vtt4.5 KB
4. Working with complex numbers/4. Multiplication with complex numbers.mp439 MB
4. Working with complex numbers/4. Multiplication with complex numbers.vtt8 KB
4. Working with complex numbers/5. The complex conjugate.mp423.1 MB
4. Working with complex numbers/5. The complex conjugate.vtt5.4 KB
4. Working with complex numbers/6. Division with complex numbers.mp418.8 MB
4. Working with complex numbers/6. Division with complex numbers.vtt4.5 KB
4. Working with complex numbers/7. Magnitude and phase of complex numbers.mp448.3 MB
4. Working with complex numbers/7. Magnitude and phase of complex numbers.vtt9.4 KB
5. Filtering/1. MATLAB and Python code for this section.html85 B
5. Filtering/1.1 sigprocMXC_filtering.zip.zip4.6 MB
5. Filtering/10. Windowed-sinc filters.mp487.7 MB
5. Filtering/10. Windowed-sinc filters.vtt14.2 KB
5. Filtering/11. High-pass filters.mp452.4 MB
5. Filtering/11. High-pass filters.vtt7.2 KB
5. Filtering/12. Narrow-band filters.mp455.9 MB
5. Filtering/12. Narrow-band filters.vtt7.9 KB
5. Filtering/13. Two-stage wide-band filter.mp442.2 MB

Alternative Torrents for 'Tutorialsplanet.NET Udemy Signal processing problems solved MATLAB and Python'.

There are no alternative torrents found.