|
|
1. Join the community!.html
|
HTML
|
512 B
|
|
|
1. MATLAB and Python code for this section.html
|
HTML
|
102 B
|
|
|
1. Signal processing = decision-making + tools.mp4
|
MP4
|
33.2 MB
|
|
|
1. Signal processing = decision-making + tools.vtt
|
VTT
|
5.1 KB
|
|
|
1.1 sigprocMXC_TimeSeriesDenoising.zip.zip
|
ZIP
|
11.8 MB
|
|
|
1.1 sigprocMXC_complex.zip.zip
|
ZIP
|
38.1 KB
|
|
|
1.1 sigprocMXC_convolution.zip.zip
|
ZIP
|
250.1 KB
|
|
|
1.1 sigprocMXC_featuredet.zip.zip
|
ZIP
|
1.7 MB
|
|
|
1.1 sigprocMXC_filtering.zip.zip
|
ZIP
|
4.6 MB
|
|
|
1.1 sigprocMXC_outliers.zip.zip
|
ZIP
|
268.3 KB
|
|
|
1.1 sigprocMXC_resampling.zip.zip
|
ZIP
|
411.2 KB
|
|
|
1.1 sigprocMXC_spectral.zip.zip
|
ZIP
|
2.3 MB
|
|
|
1.1 sigprocMXC_variability.zip.zip
|
ZIP
|
22.2 MB
|
|
|
1.1 sigprocMXC_wavelets.zip.zip
|
ZIP
|
769.7 KB
|
|
|
10. Code challenge Compare wavelet convolution and FIR filter!.mp4
|
MP4
|
13.4 MB
|
|
|
10. Code challenge Compare wavelet convolution and FIR filter!.vtt
|
VTT
|
2.5 KB
|
|
|
10. Code challenge Create a frequency-domain mean-smoothing filter.mp4
|
MP4
|
16.9 MB
|
|
|
10. Code challenge Create a frequency-domain mean-smoothing filter.vtt
|
VTT
|
2.1 KB
|
|
|
10. Code challenge denoise and downsample this signal!.mp4
|
MP4
|
25.2 MB
|
|
|
10. Code challenge denoise and downsample this signal!.vtt
|
VTT
|
5 KB
|
|
|
10. Remove artifact via least-squares template-matching.mp4
|
MP4
|
85 MB
|
|
|
10. Remove artifact via least-squares template-matching.vtt
|
VTT
|
12.3 KB
|
|
|
10. Windowed-sinc filters.mp4
|
MP4
|
87.7 MB
|
|
|
10. Windowed-sinc filters.vtt
|
VTT
|
14.2 KB
|
|
|
11. Code challenge Denoise these signals!.mp4
|
MP4
|
7.5 MB
|
|
|
11. Code challenge Denoise these signals!.vtt
|
VTT
|
1.3 KB
|
|
|
11. High-pass filters.mp4
|
MP4
|
52.4 MB
|
|
|
11. High-pass filters.vtt
|
VTT
|
7.2 KB
|
|
|
12. Narrow-band filters.mp4
|
MP4
|
55.9 MB
|
|
|
12. Narrow-band filters.vtt
|
VTT
|
7.9 KB
|
|
|
13. Two-stage wide-band filter.mp4
|
MP4
|
42.2 MB
|
|
|
13. Two-stage wide-band filter.vtt
|
VTT
|
5.4 KB
|
|
|
14. Quantifying roll-off characteristics.mp4
|
MP4
|
87.1 MB
|
|
|
14. Quantifying roll-off characteristics.vtt
|
VTT
|
13.3 KB
|
|
|
15. Remove electrical line noise and its harmonics.mp4
|
MP4
|
91.1 MB
|
|
|
15. Remove electrical line noise and its harmonics.vtt
|
VTT
|
12 KB
|
|
|
16. Use filtering to separate birds in a recording.mp4
|
MP4
|
74.7 MB
|
|
|
16. Use filtering to separate birds in a recording.vtt
|
VTT
|
7.7 KB
|
|
|
17. Code challenge Filter these signals!.mp4
|
MP4
|
11.3 MB
|
|
|
17. Code challenge Filter these signals!.vtt
|
VTT
|
1.5 KB
|
|
|
2. Bonus Coupons for related courses.html
|
HTML
|
2.5 KB
|
|
|
2. Crash course on the Fourier transform.mp4
|
MP4
|
116.9 MB
|
|
|
2. Crash course on the Fourier transform.vtt
|
VTT
|
18.6 KB
|
|
|
2. Filtering Intuition, goals, and types.mp4
|
MP4
|
115.2 MB
|
|
|
2. Filtering Intuition, goals, and types.vtt
|
VTT
|
19.1 KB
|
|
|
2. From the number line to the complex number plane.mp4
|
MP4
|
55.2 MB
|
|
|
2. From the number line to the complex number plane.vtt
|
VTT
|
12.4 KB
|
|
|
2. Local maxima and minima.mp4
|
MP4
|
126.6 MB
|
|
|
2. Local maxima and minima.vtt
|
VTT
|
18.7 KB
|
|
|
2. Mean-smooth a time series.mp4
|
MP4
|
66.2 MB
|
|
|
2. Mean-smooth a time series.vtt
|
VTT
|
10.2 KB
|
|
|
2. Outliers via standard deviation threshold.mp4
|
MP4
|
69.6 MB
|
|
|
2. Outliers via standard deviation threshold.vtt
|
VTT
|
11.5 KB
|
|
|
2. Time-domain convolution.mp4
|
MP4
|
71.1 MB
|
|
|
2. Time-domain convolution.vtt
|
VTT
|
14.7 KB
|
|
|
2. Total and windowed variance and RMS.mp4
|
MP4
|
75.6 MB
|
|
|
2. Total and windowed variance and RMS.vtt
|
VTT
|
12.9 KB
|
|
|
2. Upsampling.mp4
|
MP4
|
100.9 MB
|
|
|
2. Upsampling.vtt
|
VTT
|
15.8 KB
|
|
|
2. Using MATLAB in this course.mp4
|
MP4
|
24.3 MB
|
|
|
2. Using MATLAB in this course.vtt
|
VTT
|
4.6 KB
|
|
|
2. What are wavelets.mp4
|
MP4
|
93 MB
|
|
|
2. What are wavelets.vtt
|
VTT
|
17.4 KB
|
|
|
3. Addition and subtraction with complex numbers.mp4
|
MP4
|
19.9 MB
|
|
|
3. Addition and subtraction with complex numbers.vtt
|
VTT
|
4.5 KB
|
|
|
3. Convolution in MATLAB.mp4
|
MP4
|
100.7 MB
|
|
|
3. Convolution in MATLAB.vtt
|
VTT
|
15.6 KB
|
|
|
3. Convolution with wavelets.mp4
|
MP4
|
48.2 MB
|
|
|
3. Convolution with wavelets.vtt
|
VTT
|
6.6 KB
|
|
|
3. Downsampling.mp4
|
MP4
|
110.8 MB
|
|
|
3. Downsampling.vtt
|
VTT
|
14.8 KB
|
|
|
3. FIR filters with firls.mp4
|
MP4
|
119.8 MB
|
|
|
3. FIR filters with firls.vtt
|
VTT
|
17.7 KB
|
|
|
3. Fourier transform for spectral analyses.mp4
|
MP4
|
174 MB
|
|
|
3. Fourier transform for spectral analyses.vtt
|
VTT
|
23 KB
|
|
|
3. Gaussian-smooth a time series.mp4
|
MP4
|
96.2 MB
|
|
|
3. Gaussian-smooth a time series.vtt
|
VTT
|
16.4 KB
|
|
|
3. Outliers via local threshold exceedance.mp4
|
MP4
|
77.3 MB
|
|
|
3. Outliers via local threshold exceedance.vtt
|
VTT
|
10.7 KB
|
|
|
3. Recover signal from noise amplitude.mp4
|
MP4
|
104.3 MB
|
|
|
3. Recover signal from noise amplitude.vtt
|
VTT
|
14.7 KB
|
|
|
3. Signal-to-noise ratio (SNR).mp4
|
MP4
|
132.8 MB
|
|
|
3. Signal-to-noise ratio (SNR).vtt
|
VTT
|
17.8 KB
|
|
|
3. Using Octave-online in this course.mp4
|
MP4
|
33.5 MB
|
|
|
3. Using Octave-online in this course.vtt
|
VTT
|
6.3 KB
|
|
|
4. Coefficient of variation (CV).mp4
|
MP4
|
28.8 MB
|
|
|
4. Coefficient of variation (CV).vtt
|
VTT
|
6.1 KB
|
|
|
4. FIR filters with fir1.mp4
|
MP4
|
47.2 MB
|
|
|
4. FIR filters with fir1.vtt
|
VTT
|
7 KB
|
|
|
4. Gaussian-smooth a spike time series.mp4
|
MP4
|
42.2 MB
|
|
|
4. Gaussian-smooth a spike time series.vtt
|
VTT
|
6.4 KB
|
|
|
4. Multiplication with complex numbers.mp4
|
MP4
|
39 MB
|
|
|
4. Multiplication with complex numbers.vtt
|
VTT
|
8 KB
|
|
|
4. Outlier time windows via sliding RMS.mp4
|
MP4
|
46.1 MB
|
|
|
4. Outlier time windows via sliding RMS.vtt
|
VTT
|
7.1 KB
|
|
|
4. Scientific publication about defining Morlet wavelets.html
|
HTML
|
512 B
|
|
|
4. Strategies for multirate signals.mp4
|
MP4
|
44.2 MB
|
|
|
4. Strategies for multirate signals.vtt
|
VTT
|
8 KB
|
|
|
4. Using Python in this course.mp4
|
MP4
|
23.7 MB
|
|
|
4. Using Python in this course.vtt
|
VTT
|
4.4 KB
|
|
|
4. Wavelet convolution for feature extraction.mp4
|
MP4
|
135.8 MB
|
|
|
4. Wavelet convolution for feature extraction.vtt
|
VTT
|
17.3 KB
|
|
|
4. Welch's method and windowing.mp4
|
MP4
|
121.9 MB
|
|
|
4. Welch's method and windowing.vtt
|
VTT
|
18.5 KB
|
|
|
4. Why is the kernel flipped backwards!!!.mp4
|
MP4
|
22.5 MB
|
|
|
4. Why is the kernel flipped backwards!!!.vtt
|
VTT
|
5.8 KB
|
|
|
5. Area under the curve.mp4
|
MP4
|
91.2 MB
|
|
|
5. Area under the curve.vtt
|
VTT
|
15.3 KB
|
|
|
5. Code challenge.mp4
|
MP4
|
39.1 MB
|
|
|
5. Code challenge.vtt
|
VTT
|
4.6 KB
|
|
|
5. Denoising EMG signals via TKEO.mp4
|
MP4
|
57.2 MB
|
|
|
5. Denoising EMG signals via TKEO.vtt
|
VTT
|
9.7 KB
|
|
|
5. Entropy.mp4
|
MP4
|
112.3 MB
|
|
|
5. Entropy.vtt
|
VTT
|
19.8 KB
|
|
|
5. IIR Butterworth filters.mp4
|
MP4
|
80.3 MB
|
|
|
5. IIR Butterworth filters.vtt
|
VTT
|
12.4 KB
|
|
|
5. Interpolation.mp4
|
MP4
|
55.2 MB
|
|
|
5. Interpolation.vtt
|
VTT
|
9.4 KB
|
|
|
5. Spectrogram of birdsong.mp4
|
MP4
|
76.1 MB
|
|
|
5. Spectrogram of birdsong.vtt
|
VTT
|
9.6 KB
|
|
|
5. The complex conjugate.mp4
|
MP4
|
23.1 MB
|
|
|
5. The complex conjugate.vtt
|
VTT
|
5.4 KB
|
|
|
5. The convolution theorem.mp4
|
MP4
|
68.8 MB
|
|
|
5. The convolution theorem.vtt
|
VTT
|
12 KB
|
|
|
5. Wavelet convolution for narrowband filtering.mp4
|
MP4
|
135.9 MB
|
|
|
5. Wavelet convolution for narrowband filtering.vtt
|
VTT
|
17.4 KB
|
|
|
5. Writing code vs. using toolboxesprograms.mp4
|
MP4
|
53.1 MB
|
|
|
5. Writing code vs. using toolboxesprograms.vtt
|
VTT
|
8.5 KB
|
|
|
6. Application Detect muscle movements from EMG recordings.mp4
|
MP4
|
151.5 MB
|
|
|
6. Application Detect muscle movements from EMG recordings.vtt
|
VTT
|
21.4 KB
|
|
|
6. Causal and zero-phase-shift filters.mp4
|
MP4
|
82.5 MB
|
|
|
6. Causal and zero-phase-shift filters.vtt
|
VTT
|
11.9 KB
|
|
|
6. Code challenge Compute a spectrogram!.mp4
|
MP4
|
15.2 MB
|
|
|
6. Code challenge Compute a spectrogram!.vtt
|
VTT
|
3.1 KB
|
|
|
6. Code challenge.mp4
|
MP4
|
23.5 MB
|
|
|
6. Code challenge.vtt
|
VTT
|
3.7 KB
|
|
|
6. Division with complex numbers.mp4
|
MP4
|
18.8 MB
|
|
|
6. Division with complex numbers.vtt
|
VTT
|
4.5 KB
|
|
|
6. Median filter to remove spike noise.mp4
|
MP4
|
77.1 MB
|
|
|
6. Median filter to remove spike noise.vtt
|
VTT
|
12.2 KB
|
|
|
6. Overview Time-frequency analysis with complex wavelets.mp4
|
MP4
|
48.7 MB
|
|
|
6. Overview Time-frequency analysis with complex wavelets.vtt
|
VTT
|
9.5 KB
|
|
|
6. Resample irregularly sampled data.mp4
|
MP4
|
93.9 MB
|
|
|
6. Resample irregularly sampled data.vtt
|
VTT
|
13.2 KB
|
|
|
6. Thinking about convolution as spectral multiplication.mp4
|
MP4
|
87.6 MB
|
|
|
6. Thinking about convolution as spectral multiplication.vtt
|
VTT
|
15.2 KB
|
|
|
6. Using the Q&A forum.mp4
|
MP4
|
26.8 MB
|
|
|
6. Using the Q&A forum.vtt
|
VTT
|
6.4 KB
|
|
|
6.1 TFtheory.mp4.mp4
|
MP4
|
18.2 MB
|
|
|
7. Avoid edge effects with reflection.mp4
|
MP4
|
99.3 MB
|
|
|
7. Avoid edge effects with reflection.vtt
|
VTT
|
14 KB
|
|
|
7. Convolution with time-domain Gaussian (smoothing filter).mp4
|
MP4
|
49.5 MB
|
|
|
7. Convolution with time-domain Gaussian (smoothing filter).vtt
|
VTT
|
7.3 KB
|
|
|
7. Extrapolation.mp4
|
MP4
|
36.7 MB
|
|
|
7. Extrapolation.vtt
|
VTT
|
7.1 KB
|
|
|
7. Full width at half-maximum.mp4
|
MP4
|
131.3 MB
|
|
|
7. Full width at half-maximum.vtt
|
VTT
|
21.5 KB
|
|
|
7. Link to youtube channel with 3 hours of relevant material.html
|
HTML
|
614 B
|
|
|
7. Magnitude and phase of complex numbers.mp4
|
MP4
|
48.3 MB
|
|
|
7. Magnitude and phase of complex numbers.vtt
|
VTT
|
9.4 KB
|
|
|
7. Remove linear trend (detrending).mp4
|
MP4
|
12.9 MB
|
|
|
7. Remove linear trend (detrending).vtt
|
VTT
|
2.6 KB
|
|
|
8. Code challenge find the features!.mp4
|
MP4
|
24 MB
|
|
|
8. Code challenge find the features!.vtt
|
VTT
|
4.1 KB
|
|
|
8. Convolution with frequency-domain Gaussian (narrowband filter).mp4
|
MP4
|
51.8 MB
|
|
|
8. Convolution with frequency-domain Gaussian (narrowband filter).vtt
|
VTT
|
8.1 KB
|
|
|
8. Data length and filter kernel length.mp4
|
MP4
|
65 MB
|
|
|
8. Data length and filter kernel length.vtt
|
VTT
|
9.8 KB
|
|
|
8. MATLAB Time-frequency analysis with complex wavelets.mp4
|
MP4
|
140.3 MB
|
|
|
8. MATLAB Time-frequency analysis with complex wavelets.vtt
|
VTT
|
17.8 KB
|
|
|
8. Remove nonlinear trend with polynomials.mp4
|
MP4
|
109.3 MB
|
|
|
8. Remove nonlinear trend with polynomials.vtt
|
VTT
|
18.2 KB
|
|
|
8. Spectral interpolation.mp4
|
MP4
|
77.3 MB
|
|
|
8. Spectral interpolation.vtt
|
VTT
|
12.5 KB
|
|
|
9. Averaging multiple repetitions (time-synchronous averaging).mp4
|
MP4
|
49.7 MB
|
|
|
9. Averaging multiple repetitions (time-synchronous averaging).vtt
|
VTT
|
6.5 KB
|
|
|
9. Convolution with frequency-domain Planck taper (bandpass filter).mp4
|
MP4
|
46.1 MB
|
|
|
9. Convolution with frequency-domain Planck taper (bandpass filter).vtt
|
VTT
|
7.5 KB
|
|
|
9. Dynamic time warping.mp4
|
MP4
|
122.6 MB
|
|
|
9. Dynamic time warping.vtt
|
VTT
|
19.7 KB
|
|
|
9. Low-pass filters.mp4
|
MP4
|
64 MB
|
|
|
9. Low-pass filters.vtt
|
VTT
|
8.9 KB
|
|
|
9. Time-frequency analysis of brain signals.mp4
|
MP4
|
63.5 MB
|
|
|
9. Time-frequency analysis of brain signals.vtt
|
VTT
|
9.9 KB
|
|
|
ReadMe.txt
|
TXT
|
204 B
|
|
|
Visit Freecourseit.com.url
|
URL
|
307 B
|
|
|
Visit Getnewcourses.com.url
|
URL
|
307 B
|
![[Udemy] - Signal processing problems, solved in MATLAB and in Python [Getnewcourses]](/upload_files/resize_cache/torrents-posters/22f/174_260_2/22f684ce1c51cdea6a26dbab9694e606.jpg "[Udemy] - Signal processing problems, solved in MATLAB and in Python [Getnewcourses]")
