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Udemy Signal processing problems solved in MATLAB and in Python

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Udemy - Signal processing problems, solved in MATLAB and in Python

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Total Size

6.1 GB

Total Files

197

Last Seen

2025-02-19 23:27

Hash

C9D0738D42AEE1239F7610AB1D510B1CC0FC7910

/1. Introductions/

5. Writing code vs. using toolboxesprograms.mp4

55.7 MB

3. Using Octave-online in this course.mp4

35.2 MB

1. Signal processing = decision-making + tools.mp4

34.8 MB

6. Using the Q&A forum.mp4

28.1 MB

2. Using MATLAB in this course.mp4

25.5 MB

4. Using Python in this course.mp4

24.9 MB

5. Writing code vs. using toolboxesprograms.vtt

8.7 KB

6. Using the Q&A forum.vtt

6.5 KB

3. Using Octave-online in this course.vtt

6.5 KB

1. Signal processing = decision-making + tools.vtt

5.2 KB

2. Using MATLAB in this course.vtt

4.7 KB

4. Using Python in this course.vtt

4.5 KB

ReadMe.txt

0.2 KB

/10. Feature detection/

6. Application Detect muscle movements from EMG recordings.mp4

158.8 MB

4. Wavelet convolution for feature extraction.mp4

142.4 MB

7. Full width at half-maximum.mp4

137.7 MB

2. Local maxima and minima.mp4

132.8 MB

3. Recover signal from noise amplitude.mp4

109.4 MB

5. Area under the curve.mp4

95.6 MB

8. Code challenge find the features!.mp4

25.2 MB

1.1 sigprocMXC_featuredet.zip.zip

1.8 MB

7. Full width at half-maximum.vtt

22.0 KB

6. Application Detect muscle movements from EMG recordings.vtt

21.9 KB

2. Local maxima and minima.vtt

19.1 KB

4. Wavelet convolution for feature extraction.vtt

17.7 KB

5. Area under the curve.vtt

15.6 KB

3. Recover signal from noise amplitude.vtt

15.1 KB

8. Code challenge find the features!.vtt

4.2 KB

1. MATLAB and Python code for this section.html

0.1 KB

/11. Variability/

3. Signal-to-noise ratio (SNR).mp4

139.2 MB

5. Entropy.mp4

117.8 MB

2. Total and windowed variance and RMS.mp4

79.2 MB

4. Coefficient of variation (CV).mp4

30.2 MB

6. Code challenge.mp4

24.7 MB

1.1 sigprocMXC_variability.zip.zip

23.2 MB

5. Entropy.vtt

20.2 KB

3. Signal-to-noise ratio (SNR).vtt

18.3 KB

2. Total and windowed variance and RMS.vtt

13.3 KB

4. Coefficient of variation (CV).vtt

6.2 KB

6. Code challenge.vtt

3.8 KB

1. MATLAB and Python code for this section.html

0.0 KB

/12. Discounts on related courses/

2. Bonus Coupons for related courses.html

2.6 KB

1. Join the community!.html

0.6 KB

/2. Time series denoising/

8. Remove nonlinear trend with polynomials.mp4

114.6 MB

3. Gaussian-smooth a time series.mp4

100.8 MB

10. Remove artifact via least-squares template-matching.mp4

89.1 MB

6. Median filter to remove spike noise.mp4

80.8 MB

2. Mean-smooth a time series.mp4

69.4 MB

5. Denoising EMG signals via TKEO.mp4

60.0 MB

9. Averaging multiple repetitions (time-synchronous averaging).mp4

52.2 MB

4. Gaussian-smooth a spike time series.mp4

44.3 MB

7. Remove linear trend (detrending).mp4

13.5 MB

1.1 sigprocMXC_TimeSeriesDenoising.zip.zip

12.3 MB

11. Code challenge Denoise these signals!.mp4

7.9 MB

8. Remove nonlinear trend with polynomials.vtt

18.6 KB

3. Gaussian-smooth a time series.vtt

16.8 KB

10. Remove artifact via least-squares template-matching.vtt

12.6 KB

6. Median filter to remove spike noise.vtt

12.5 KB

2. Mean-smooth a time series.vtt

10.5 KB

5. Denoising EMG signals via TKEO.vtt

10.0 KB

9. Averaging multiple repetitions (time-synchronous averaging).vtt

6.6 KB

4. Gaussian-smooth a spike time series.vtt

6.6 KB

7. Remove linear trend (detrending).vtt

2.7 KB

11. Code challenge Denoise these signals!.vtt

1.3 KB

1. MATLAB and Python code for this section.html

0.1 KB

/3. Spectral and rhythmicity analyses/

3. Fourier transform for spectral analyses.mp4

182.4 MB

4. Welch's method and windowing.mp4

127.8 MB

2. Crash course on the Fourier transform.mp4

122.5 MB

5. Spectrogram of birdsong.mp4

79.8 MB

6. Code challenge Compute a spectrogram!.mp4

16.0 MB

1.1 sigprocMXC_spectral.zip.zip

2.4 MB

3. Fourier transform for spectral analyses.vtt

23.5 KB

2. Crash course on the Fourier transform.vtt

19.1 KB

4. Welch's method and windowing.vtt

18.9 KB

5. Spectrogram of birdsong.vtt

9.8 KB

6. Code challenge Compute a spectrogram!.vtt

3.2 KB

1. MATLAB and Python code for this section.html

0.1 KB

/4. Working with complex numbers/

2. From the number line to the complex number plane.mp4

57.9 MB

7. Magnitude and phase of complex numbers.mp4

50.7 MB

4. Multiplication with complex numbers.mp4

40.9 MB

5. The complex conjugate.mp4

24.2 MB

3. Addition and subtraction with complex numbers.mp4

20.9 MB

6. Division with complex numbers.mp4

19.7 MB

1.1 sigprocMXC_complex.zip.zip

39.0 KB

2. From the number line to the complex number plane.vtt

12.7 KB

7. Magnitude and phase of complex numbers.vtt

9.6 KB

4. Multiplication with complex numbers.vtt

8.2 KB

5. The complex conjugate.vtt

5.5 KB

6. Division with complex numbers.vtt

4.6 KB

3. Addition and subtraction with complex numbers.vtt

4.6 KB

1. MATLAB and Python code for this section.html

0.0 KB

/5. Filtering/

3. FIR filters with firls.mp4

125.7 MB

2. Filtering Intuition, goals, and types.mp4

120.8 MB

7. Avoid edge effects with reflection.mp4

104.1 MB

15. Remove electrical line noise and its harmonics.mp4

95.5 MB

10. Windowed-sinc filters.mp4

92.0 MB

14. Quantifying roll-off characteristics.mp4

91.3 MB

6. Causal and zero-phase-shift filters.mp4

86.5 MB

5. IIR Butterworth filters.mp4

84.2 MB

16. Use filtering to separate birds in a recording.mp4

78.3 MB

8. Data length and filter kernel length.mp4

68.2 MB

9. Low-pass filters.mp4

67.1 MB

12. Narrow-band filters.mp4

58.6 MB

11. High-pass filters.mp4

55.0 MB

4. FIR filters with fir1.mp4

49.5 MB

13. Two-stage wide-band filter.mp4

44.3 MB

17. Code challenge Filter these signals!.mp4

11.9 MB

1.1 sigprocMXC_filtering.zip.zip

4.9 MB

2. Filtering Intuition, goals, and types.vtt

19.6 KB

3. FIR filters with firls.vtt

18.2 KB

10. Windowed-sinc filters.vtt

14.6 KB

7. Avoid edge effects with reflection.vtt

14.3 KB

14. Quantifying roll-off characteristics.vtt

13.6 KB

5. IIR Butterworth filters.vtt

12.7 KB

15. Remove electrical line noise and its harmonics.vtt

12.3 KB

6. Causal and zero-phase-shift filters.vtt

12.1 KB

8. Data length and filter kernel length.vtt

10.1 KB

9. Low-pass filters.vtt

9.1 KB

12. Narrow-band filters.vtt

8.1 KB

16. Use filtering to separate birds in a recording.vtt

7.9 KB

11. High-pass filters.vtt

7.3 KB

4. FIR filters with fir1.vtt

7.1 KB

13. Two-stage wide-band filter.vtt

5.6 KB

17. Code challenge Filter these signals!.vtt

1.6 KB

1. MATLAB and Python code for this section.html

0.1 KB

/6. Convolution/

3. Convolution in MATLAB.mp4

105.6 MB

6. Thinking about convolution as spectral multiplication.mp4

91.9 MB

2. Time-domain convolution.mp4

74.6 MB

5. The convolution theorem.mp4

72.1 MB

8. Convolution with frequency-domain Gaussian (narrowband filter).mp4

54.3 MB

7. Convolution with time-domain Gaussian (smoothing filter).mp4

51.9 MB

9. Convolution with frequency-domain Planck taper (bandpass filter).mp4

48.3 MB

4. Why is the kernel flipped backwards!!!.mp4

23.6 MB

6.1 TFtheory.mp4.mp4

19.1 MB

10. Code challenge Create a frequency-domain mean-smoothing filter.mp4

17.7 MB

1.1 sigprocMXC_convolution.zip.zip

256.1 KB

3. Convolution in MATLAB.vtt

16.0 KB

6. Thinking about convolution as spectral multiplication.vtt

15.6 KB

2. Time-domain convolution.vtt

15.1 KB

5. The convolution theorem.vtt

12.2 KB

8. Convolution with frequency-domain Gaussian (narrowband filter).vtt

8.3 KB

9. Convolution with frequency-domain Planck taper (bandpass filter).vtt

7.6 KB

7. Convolution with time-domain Gaussian (smoothing filter).vtt

7.4 KB

4. Why is the kernel flipped backwards!!!.vtt

5.9 KB

10. Code challenge Create a frequency-domain mean-smoothing filter.vtt

2.1 KB

1. MATLAB and Python code for this section.html

0.1 KB

/7. Wavelet analysis/

8. MATLAB Time-frequency analysis with complex wavelets.mp4

147.2 MB

5. Wavelet convolution for narrowband filtering.mp4

142.5 MB

2. What are wavelets.mp4

97.5 MB

9. Time-frequency analysis of brain signals.mp4

66.6 MB

6. Overview Time-frequency analysis with complex wavelets.mp4

51.0 MB

3. Convolution with wavelets.mp4

50.5 MB

10. Code challenge Compare wavelet convolution and FIR filter!.mp4

14.0 MB

1.1 sigprocMXC_wavelets.zip.zip

788.1 KB

8. MATLAB Time-frequency analysis with complex wavelets.vtt

18.2 KB

2. What are wavelets.vtt

17.8 KB

5. Wavelet convolution for narrowband filtering.vtt

17.8 KB

9. Time-frequency analysis of brain signals.vtt

10.1 KB

6. Overview Time-frequency analysis with complex wavelets.vtt

9.8 KB

3. Convolution with wavelets.vtt

6.8 KB

10. Code challenge Compare wavelet convolution and FIR filter!.vtt

2.6 KB

7. Link to youtube channel with 3 hours of relevant material.html

0.6 KB

4. Scientific publication about defining Morlet wavelets.html

0.5 KB

1. MATLAB and Python code for this section.html

0.1 KB

/8. Resampling, interpolating, extrapolating/

9. Dynamic time warping.mp4

128.5 MB

3. Downsampling.mp4

116.1 MB

2. Upsampling.mp4

105.8 MB

6. Resample irregularly sampled data.mp4

98.5 MB

8. Spectral interpolation.mp4

81.0 MB

5. Interpolation.mp4

57.9 MB

4. Strategies for multirate signals.mp4

46.3 MB

7. Extrapolation.mp4

38.5 MB

10. Code challenge denoise and downsample this signal!.mp4

26.4 MB

1.1 sigprocMXC_resampling.zip.zip

421.0 KB

9. Dynamic time warping.vtt

20.2 KB

2. Upsampling.vtt

16.2 KB

3. Downsampling.vtt

15.1 KB

6. Resample irregularly sampled data.vtt

13.5 KB

8. Spectral interpolation.vtt

12.8 KB

5. Interpolation.vtt

9.6 KB

4. Strategies for multirate signals.vtt

8.2 KB

7. Extrapolation.vtt

7.3 KB

10. Code challenge denoise and downsample this signal!.vtt

5.2 KB

1. MATLAB and Python code for this section.html

0.1 KB

/9. Outlier detection/

3. Outliers via local threshold exceedance.mp4

81.1 MB

2. Outliers via standard deviation threshold.mp4

73.0 MB

4. Outlier time windows via sliding RMS.mp4

48.3 MB

5. Code challenge.mp4

41.0 MB

1.1 sigprocMXC_outliers.zip.zip

274.7 KB

2. Outliers via standard deviation threshold.vtt

11.8 KB

3. Outliers via local threshold exceedance.vtt

11.0 KB

4. Outlier time windows via sliding RMS.vtt

7.3 KB

5. Code challenge.vtt

4.7 KB

1. MATLAB and Python code for this section.html

0.1 KB

/

Visit Getnewcourses.com.url

0.3 KB

Visit Freecourseit.com.url

0.3 KB

ReadMe.txt

0.2 KB

 

Total files 197


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