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Udemy Signal processing problems solved in MATLAB and in Python Getnewcourses

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Udemy Signal processing problems solved in MATLAB and in Python Getnewcourses

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Files:

5. Writing code vs. using toolboxesprograms.mp4 53.1 MB
3. Using Octave-online in this course.mp4 33.5 MB
1. Signal processing = decision-making + tools.mp4 33.2 MB
6. Using the Q&A forum.mp4 26.8 MB
2. Using MATLAB in this course.mp4 24.3 MB
4. Using Python in this course.mp4 23.7 MB
5. Writing code vs. using toolboxesprograms.vtt 8.5 KB
6. Using the Q&A forum.vtt 6.4 KB
3. Using Octave-online in this course.vtt 6.3 KB
1. Signal processing = decision-making + tools.vtt 5.1 KB
2. Using MATLAB in this course.vtt 4.6 KB
4. Using Python in this course.vtt 4.4 KB
ReadMe.txt 241 bytes
6. Application Detect muscle movements from EMG recordings.mp4 151.5 MB
4. Wavelet convolution for feature extraction.mp4 135.8 MB
7. Full width at half-maximum.mp4 131.3 MB
2. Local maxima and minima.mp4 126.6 MB
3. Recover signal from noise amplitude.mp4 104.3 MB
5. Area under the curve.mp4 91.2 MB
8. Code challenge find the features!.mp4 24.0 MB
1.1 sigprocMXC_featuredet.zip.zip 1.7 MB
7. Full width at half-maximum.vtt 21.5 KB
6. Application Detect muscle movements from EMG recordings.vtt 21.4 KB
2. Local maxima and minima.vtt 18.7 KB
4. Wavelet convolution for feature extraction.vtt 17.3 KB
5. Area under the curve.vtt 15.3 KB
3. Recover signal from noise amplitude.vtt 14.7 KB
8. Code challenge find the features!.vtt 4.1 KB
1. MATLAB and Python code for this section.html 73 bytes
3. Signal-to-noise ratio (SNR).mp4 132.8 MB
5. Entropy.mp4 112.3 MB
2. Total and windowed variance and RMS.mp4 75.6 MB
4. Coefficient of variation (CV).mp4 28.8 MB
6. Code challenge.mp4 23.5 MB
1.1 sigprocMXC_variability.zip.zip 22.2 MB
5. Entropy.vtt 19.8 KB
3. Signal-to-noise ratio (SNR).vtt 17.8 KB
2. Total and windowed variance and RMS.vtt 12.9 KB
4. Coefficient of variation (CV).vtt 6.1 KB
6. Code challenge.vtt 3.7 KB
1. MATLAB and Python code for this section.html 47 bytes
2. Bonus Coupons for related courses.html 2.5 KB
1. Join the community!.html 553 bytes
8. Remove nonlinear trend with polynomials.mp4 109.3 MB
3. Gaussian-smooth a time series.mp4 96.2 MB
10. Remove artifact via least-squares template-matching.mp4 85.0 MB
6. Median filter to remove spike noise.mp4 77.1 MB
2. Mean-smooth a time series.mp4 66.2 MB
5. Denoising EMG signals via TKEO.mp4 57.2 MB
9. Averaging multiple repetitions (time-synchronous averaging).mp4 49.7 MB
4. Gaussian-smooth a spike time series.mp4 42.2 MB
7. Remove linear trend (detrending).mp4 12.9 MB
1.1 sigprocMXC_TimeSeriesDenoising.zip.zip 11.8 MB
11. Code challenge Denoise these signals!.mp4 7.5 MB
8. Remove nonlinear trend with polynomials.vtt 18.2 KB
3. Gaussian-smooth a time series.vtt 16.4 KB
10. Remove artifact via least-squares template-matching.vtt 12.3 KB
6. Median filter to remove spike noise.vtt 12.2 KB
2. Mean-smooth a time series.vtt 10.2 KB
5. Denoising EMG signals via TKEO.vtt 9.7 KB
9. Averaging multiple repetitions (time-synchronous averaging).vtt 6.5 KB
4. Gaussian-smooth a spike time series.vtt 6.4 KB
7. Remove linear trend (detrending).vtt 2.6 KB
11. Code challenge Denoise these signals!.vtt 1.3 KB
1. MATLAB and Python code for this section.html 84 bytes
3. Fourier transform for spectral analyses.mp4 174.0 MB
4. Welch's method and windowing.mp4 121.9 MB
2. Crash course on the Fourier transform.mp4 116.9 MB
5. Spectrogram of birdsong.mp4 76.1 MB
6. Code challenge Compute a spectrogram!.mp4 15.2 MB
1.1 sigprocMXC_spectral.zip.zip 2.3 MB
3. Fourier transform for spectral analyses.vtt 23.0 KB
2. Crash course on the Fourier transform.vtt 18.6 KB
4. Welch's method and windowing.vtt 18.5 KB
5. Spectrogram of birdsong.vtt 9.6 KB
6. Code challenge Compute a spectrogram!.vtt 3.1 KB
1. MATLAB and Python code for this section.html 99 bytes
2. From the number line to the complex number plane.mp4 55.2 MB
7. Magnitude and phase of complex numbers.mp4 48.3 MB
4. Multiplication with complex numbers.mp4 39.0 MB
5. The complex conjugate.mp4 23.1 MB
3. Addition and subtraction with complex numbers.mp4 19.9 MB
6. Division with complex numbers.mp4 18.8 MB
1.1 sigprocMXC_complex.zip.zip 38.1 KB
2. From the number line to the complex number plane.vtt 12.4 KB
7. Magnitude and phase of complex numbers.vtt 9.4 KB
4. Multiplication with complex numbers.vtt 8.0 KB
5. The complex conjugate.vtt 5.4 KB
6. Division with complex numbers.vtt 4.5 KB
3. Addition and subtraction with complex numbers.vtt 4.5 KB
1. MATLAB and Python code for this section.html 46 bytes
3. FIR filters with firls.mp4 119.8 MB
2. Filtering Intuition, goals, and types.mp4 115.2 MB
7. Avoid edge effects with reflection.mp4 99.3 MB
15. Remove electrical line noise and its harmonics.mp4 91.1 MB
10. Windowed-sinc filters.mp4 87.7 MB
14. Quantifying roll-off characteristics.mp4 87.1 MB
6. Causal and zero-phase-shift filters.mp4 82.5 MB
5. IIR Butterworth filters.mp4 80.3 MB
16. Use filtering to separate birds in a recording.mp4 74.7 MB
8. Data length and filter kernel length.mp4 65.0 MB
9. Low-pass filters.mp4 64.0 MB
12. Narrow-band filters.mp4 55.9 MB
11. High-pass filters.mp4 52.4 MB
4. FIR filters with fir1.mp4 47.2 MB
13. Two-stage wide-band filter.mp4 42.2 MB
17. Code challenge Filter these signals!.mp4 11.3 MB
1.1 sigprocMXC_filtering.zip.zip 4.6 MB
2. Filtering Intuition, goals, and types.vtt 19.1 KB
3. FIR filters with firls.vtt 17.7 KB
10. Windowed-sinc filters.vtt 14.2 KB
7. Avoid edge effects with reflection.vtt 14.0 KB
14. Quantifying roll-off characteristics.vtt 13.3 KB
5. IIR Butterworth filters.vtt 12.4 KB
15. Remove electrical line noise and its harmonics.vtt 12.0 KB
6. Causal and zero-phase-shift filters.vtt 11.9 KB
8. Data length and filter kernel length.vtt 9.8 KB
9. Low-pass filters.vtt 8.9 KB
12. Narrow-band filters.vtt 7.9 KB
16. Use filtering to separate birds in a recording.vtt 7.7 KB
11. High-pass filters.vtt 7.2 KB
4. FIR filters with fir1.vtt 7.0 KB
13. Two-stage wide-band filter.vtt 5.4 KB
17. Code challenge Filter these signals!.vtt 1.5 KB
1. MATLAB and Python code for this section.html 85 bytes
3. Convolution in MATLAB.mp4 100.7 MB
6. Thinking about convolution as spectral multiplication.mp4 87.6 MB
2. Time-domain convolution.mp4 71.1 MB
5. The convolution theorem.mp4 68.8 MB
8. Convolution with frequency-domain Gaussian (narrowband filter).mp4 51.8 MB
7. Convolution with time-domain Gaussian (smoothing filter).mp4 49.5 MB
9. Convolution with frequency-domain Planck taper (bandpass filter).mp4 46.1 MB
4. Why is the kernel flipped backwards!!!.mp4 22.5 MB
6.1 TFtheory.mp4.mp4 18.2 MB
10. Code challenge Create a frequency-domain mean-smoothing filter.mp4 16.9 MB
1.1 sigprocMXC_convolution.zip.zip 250.1 KB
3. Convolution in MATLAB.vtt 15.6 KB
6. Thinking about convolution as spectral multiplication.vtt 15.2 KB
2. Time-domain convolution.vtt 14.7 KB
5. The convolution theorem.vtt 12.0 KB
8. Convolution with frequency-domain Gaussian (narrowband filter).vtt 8.1 KB
9. Convolution with frequency-domain Planck taper (bandpass filter).vtt 7.5 KB
7. Convolution with time-domain Gaussian (smoothing filter).vtt 7.3 KB
4. Why is the kernel flipped backwards!!!.vtt 5.8 KB
10. Code challenge Create a frequency-domain mean-smoothing filter.vtt 2.1 KB
1. MATLAB and Python code for this section.html 72 bytes
8. MATLAB Time-frequency analysis with complex wavelets.mp4 140.3 MB
5. Wavelet convolution for narrowband filtering.mp4 135.9 MB
2. What are wavelets.mp4 93.0 MB
9. Time-frequency analysis of brain signals.mp4 63.5 MB
6. Overview Time-frequency analysis with complex wavelets.mp4 48.7 MB
3. Convolution with wavelets.mp4 48.2 MB
10. Code challenge Compare wavelet convolution and FIR filter!.mp4 13.4 MB
1.1 sigprocMXC_wavelets.zip.zip 769.7 KB
8. MATLAB Time-frequency analysis with complex wavelets.vtt 17.8 KB
2. What are wavelets.vtt 17.4 KB
5. Wavelet convolution for narrowband filtering.vtt 17.4 KB
9. Time-frequency analysis of brain signals.vtt 9.9 KB
6. Overview Time-frequency analysis with complex wavelets.vtt 9.5 KB
3. Convolution with wavelets.vtt 6.6 KB
10. Code challenge Compare wavelet convolution and FIR filter!.vtt 2.5 KB
7. Link to youtube channel with 3 hours of relevant material.html 621 bytes
4. Scientific publication about defining Morlet wavelets.html 465 bytes
1. MATLAB and Python code for this section.html 84 bytes
9. Dynamic time warping.mp4 122.6 MB
3. Downsampling.mp4 110.8 MB
2. Upsampling.mp4 100.9 MB
6. Resample irregularly sampled data.mp4 93.9 MB
8. Spectral interpolation.mp4 77.3 MB
5. Interpolation.mp4 55.2 MB
4. Strategies for multirate signals.mp4 44.2 MB
7. Extrapolation.mp4 36.7 MB
10. Code challenge denoise and downsample this signal!.mp4 25.2 MB
1.1 sigprocMXC_resampling.zip.zip 411.2 KB
9. Dynamic time warping.vtt 19.7 KB
2. Upsampling.vtt 15.8 KB
3. Downsampling.vtt 14.8 KB
6. Resample irregularly sampled data.vtt 13.2 KB
8. Spectral interpolation.vtt 12.5 KB
5. Interpolation.vtt 9.4 KB
4. Strategies for multirate signals.vtt 8.0 KB
7. Extrapolation.vtt 7.1 KB
10. Code challenge denoise and downsample this signal!.vtt 5.0 KB
1. MATLAB and Python code for this section.html 67 bytes
3. Outliers via local threshold exceedance.mp4 77.3 MB
2. Outliers via standard deviation threshold.mp4 69.6 MB
4. Outlier time windows via sliding RMS.mp4 46.1 MB
5. Code challenge.mp4 39.1 MB
1.1 sigprocMXC_outliers.zip.zip 268.3 KB
2. Outliers via standard deviation threshold.vtt 11.5 KB
3. Outliers via local threshold exceedance.vtt 10.7 KB
4. Outlier time windows via sliding RMS.vtt 7.1 KB
5. Code challenge.vtt 4.6 KB
1. MATLAB and Python code for this section.html 72 bytes
Visit Getnewcourses.com.url 343 bytes
Visit Freecourseit.com.url 342 bytes
ReadMe.txt 241 bytes

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