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

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文件数目：194个文件
文件大小：5.7 GB
收录时间：2019-11-20
访问次数：9
相关内容：Tutorialsplanet Udemy Signal processing problems solved MATLAB Python

文件meta

3. Spectral and rhythmicity analyses/3. Fourier transform for spectral analyses.mp4
173.98 MB
10. Feature detection/6. Application Detect muscle movements from EMG recordings.mp4
151.47 MB
7. Wavelet analysis/8. MATLAB Time-frequency analysis with complex wavelets.mp4
140.35 MB
7. Wavelet analysis/5. Wavelet convolution for narrowband filtering.mp4
135.88 MB
10. Feature detection/4. Wavelet convolution for feature extraction.mp4
135.76 MB
11. Variability/3. Signal-to-noise ratio (SNR).mp4
132.79 MB
10. Feature detection/7. Full width at half-maximum.mp4
131.28 MB
10. Feature detection/2. Local maxima and minima.mp4
126.65 MB
8. Resampling, interpolating, extrapolating/9. Dynamic time warping.mp4
122.58 MB
3. Spectral and rhythmicity analyses/4. Welch's method and windowing.mp4
121.88 MB
5. Filtering/3. FIR filters with firls.mp4
119.83 MB
3. Spectral and rhythmicity analyses/2. Crash course on the Fourier transform.mp4
116.86 MB
5. Filtering/2. Filtering Intuition, goals, and types.mp4
115.25 MB
11. Variability/5. Entropy.mp4
112.3 MB
8. Resampling, interpolating, extrapolating/3. Downsampling.mp4
110.76 MB
2. Time series denoising/8. Remove nonlinear trend with polynomials.mp4
109.31 MB
10. Feature detection/3. Recover signal from noise amplitude.mp4
104.34 MB
8. Resampling, interpolating, extrapolating/2. Upsampling.mp4
100.91 MB
6. Convolution/3. Convolution in MATLAB.mp4
100.74 MB
5. Filtering/7. Avoid edge effects with reflection.mp4
99.3 MB
2. Time series denoising/3. Gaussian-smooth a time series.mp4
96.15 MB
8. Resampling, interpolating, extrapolating/6. Resample irregularly sampled data.mp4
93.92 MB
7. Wavelet analysis/2. What are wavelets.mp4
93.01 MB
10. Feature detection/5. Area under the curve.mp4
91.16 MB
5. Filtering/15. Remove electrical line noise and its harmonics.mp4
91.1 MB
5. Filtering/10. Windowed-sinc filters.mp4
87.7 MB
6. Convolution/6. Thinking about convolution as spectral multiplication.mp4
87.65 MB
5. Filtering/14. Quantifying roll-off characteristics.mp4
87.08 MB
2. Time series denoising/10. Remove artifact via least-squares template-matching.mp4
84.98 MB
5. Filtering/6. Causal and zero-phase-shift filters.mp4
82.47 MB
5. Filtering/5. IIR Butterworth filters.mp4
80.32 MB
9. Outlier detection/3. Outliers via local threshold exceedance.mp4
77.34 MB
8. Resampling, interpolating, extrapolating/8. Spectral interpolation.mp4
77.28 MB
2. Time series denoising/6. Median filter to remove spike noise.mp4
77.1 MB
3. Spectral and rhythmicity analyses/5. Spectrogram of birdsong.mp4
76.15 MB
11. Variability/2. Total and windowed variance and RMS.mp4
75.57 MB
5. Filtering/16. Use filtering to separate birds in a recording.mp4
74.66 MB
6. Convolution/2. Time-domain convolution.mp4
71.11 MB
9. Outlier detection/2. Outliers via standard deviation threshold.mp4
69.63 MB
6. Convolution/5. The convolution theorem.mp4
68.76 MB
2. Time series denoising/2. Mean-smooth a time series.mp4
66.16 MB
5. Filtering/8. Data length and filter kernel length.mp4
65.02 MB
5. Filtering/9. Low-pass filters.mp4
64.01 MB
7. Wavelet analysis/9. Time-frequency analysis of brain signals.mp4
63.48 MB
2. Time series denoising/5. Denoising EMG signals via TKEO.mp4
57.17 MB
5. Filtering/12. Narrow-band filters.mp4
55.9 MB
4. Working with complex numbers/2. From the number line to the complex number plane.mp4
55.24 MB
8. Resampling, interpolating, extrapolating/5. Interpolation.mp4
55.2 MB
1. Introductions/5. Writing code vs. using toolboxesprograms.mp4
53.11 MB
5. Filtering/11. High-pass filters.mp4
52.42 MB