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Udemy - Signal processing problems, solved in MATLAB and in Python
magnet:?xt=urn:btih:c9d0738d42aee1239f7610ab1d510b1cc0fc7910&dn=Udemy - Signal processing problems, solved in MATLAB and in Python
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文件列表详情
c9d0738d42aee1239f7610ab1d510b1cc0fc7910
infohash:
85
文件数量
5.66 GB
文件大小
2020-6-11 12:52
创建日期
2024-11-26 19:44
最后访问
相关分词
Udemy
-
Signal
processing
problems
solved
in
MATLAB
and
in
Python
1. Introductions/5. Writing code vs. using toolboxesprograms.mp4 53.11 MB
1. Introductions/3. Using Octave-online in this course.mp4 33.55 MB
1. Introductions/1. Signal processing = decision-making + tools.mp4 33.2 MB
1. Introductions/6. Using the Q&A forum.mp4 26.82 MB
1. Introductions/2. Using MATLAB in this course.mp4 24.34 MB
1. Introductions/4. Using Python in this course.mp4 23.7 MB
10. Feature detection/6. Application Detect muscle movements from EMG recordings.mp4 151.47 MB
10. Feature detection/4. Wavelet convolution for feature extraction.mp4 135.76 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
10. Feature detection/3. Recover signal from noise amplitude.mp4 104.34 MB
10. Feature detection/5. Area under the curve.mp4 91.16 MB
10. Feature detection/8. Code challenge find the features!.mp4 24.01 MB
11. Variability/3. Signal-to-noise ratio (SNR).mp4 132.79 MB
11. Variability/5. Entropy.mp4 112.3 MB
11. Variability/2. Total and windowed variance and RMS.mp4 75.57 MB
11. Variability/4. Coefficient of variation (CV).mp4 28.8 MB
11. Variability/6. Code challenge.mp4 23.53 MB
2. Time series denoising/8. Remove nonlinear trend with polynomials.mp4 109.31 MB
2. Time series denoising/3. Gaussian-smooth a time series.mp4 96.15 MB
2. Time series denoising/10. Remove artifact via least-squares template-matching.mp4 84.98 MB
2. Time series denoising/6. Median filter to remove spike noise.mp4 77.1 MB
2. Time series denoising/2. Mean-smooth a time series.mp4 66.16 MB
2. Time series denoising/5. Denoising EMG signals via TKEO.mp4 57.17 MB
2. Time series denoising/9. Averaging multiple repetitions (time-synchronous averaging).mp4 49.75 MB
2. Time series denoising/4. Gaussian-smooth a spike time series.mp4 42.2 MB
2. Time series denoising/7. Remove linear trend (detrending).mp4 12.85 MB
2. Time series denoising/11. Code challenge Denoise these signals!.mp4 7.5 MB
3. Spectral and rhythmicity analyses/3. Fourier transform for spectral analyses.mp4 173.98 MB
3. Spectral and rhythmicity analyses/4. Welch's method and windowing.mp4 121.88 MB
3. Spectral and rhythmicity analyses/2. Crash course on the Fourier transform.mp4 116.86 MB
3. Spectral and rhythmicity analyses/5. Spectrogram of birdsong.mp4 76.15 MB
3. Spectral and rhythmicity analyses/6. Code challenge Compute a spectrogram!.mp4 15.22 MB
4. Working with complex numbers/2. From the number line to the complex number plane.mp4 55.24 MB
4. Working with complex numbers/7. Magnitude and phase of complex numbers.mp4 48.31 MB
4. Working with complex numbers/4. Multiplication with complex numbers.mp4 38.96 MB
4. Working with complex numbers/5. The complex conjugate.mp4 23.08 MB
4. Working with complex numbers/3. Addition and subtraction with complex numbers.mp4 19.89 MB
4. Working with complex numbers/6. Division with complex numbers.mp4 18.76 MB
5. Filtering/3. FIR filters with firls.mp4 119.83 MB
5. Filtering/2. Filtering Intuition, goals, and types.mp4 115.25 MB
5. Filtering/7. Avoid edge effects with reflection.mp4 99.3 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
5. Filtering/14. Quantifying roll-off characteristics.mp4 87.08 MB
5. Filtering/6. Causal and zero-phase-shift filters.mp4 82.47 MB
5. Filtering/5. IIR Butterworth filters.mp4 80.32 MB
5. Filtering/16. Use filtering to separate birds in a recording.mp4 74.66 MB
5. Filtering/8. Data length and filter kernel length.mp4 65.02 MB
5. Filtering/9. Low-pass filters.mp4 64.01 MB
5. Filtering/12. Narrow-band filters.mp4 55.9 MB
5. Filtering/11. High-pass filters.mp4 52.42 MB
5. Filtering/4. FIR filters with fir1.mp4 47.24 MB
5. Filtering/13. Two-stage wide-band filter.mp4 42.23 MB
5. Filtering/17. Code challenge Filter these signals!.mp4 11.33 MB
6. Convolution/3. Convolution in MATLAB.mp4 100.74 MB
6. Convolution/6. Thinking about convolution as spectral multiplication.mp4 87.65 MB
6. Convolution/2. Time-domain convolution.mp4 71.11 MB
6. Convolution/5. The convolution theorem.mp4 68.76 MB
6. Convolution/8. Convolution with frequency-domain Gaussian (narrowband filter).mp4 51.82 MB
6. Convolution/7. Convolution with time-domain Gaussian (smoothing filter).mp4 49.48 MB
6. Convolution/9. Convolution with frequency-domain Planck taper (bandpass filter).mp4 46.06 MB
6. Convolution/4. Why is the kernel flipped backwards!!!.mp4 22.55 MB
6. Convolution/6.1 TFtheory.mp4.mp4 18.18 MB
6. Convolution/10. Code challenge Create a frequency-domain mean-smoothing filter.mp4 16.85 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
7. Wavelet analysis/2. What are wavelets.mp4 93.01 MB
7. Wavelet analysis/9. Time-frequency analysis of brain signals.mp4 63.48 MB
7. Wavelet analysis/6. Overview Time-frequency analysis with complex wavelets.mp4 48.65 MB
7. Wavelet analysis/3. Convolution with wavelets.mp4 48.17 MB
7. Wavelet analysis/10. Code challenge Compare wavelet convolution and FIR filter!.mp4 13.36 MB
8. Resampling, interpolating, extrapolating/9. Dynamic time warping.mp4 122.58 MB
8. Resampling, interpolating, extrapolating/3. Downsampling.mp4 110.76 MB
8. Resampling, interpolating, extrapolating/2. Upsampling.mp4 100.91 MB
8. Resampling, interpolating, extrapolating/6. Resample irregularly sampled data.mp4 93.92 MB
8. Resampling, interpolating, extrapolating/8. Spectral interpolation.mp4 77.28 MB
8. Resampling, interpolating, extrapolating/5. Interpolation.mp4 55.2 MB
8. Resampling, interpolating, extrapolating/4. Strategies for multirate signals.mp4 44.17 MB
8. Resampling, interpolating, extrapolating/7. Extrapolation.mp4 36.67 MB
8. Resampling, interpolating, extrapolating/10. Code challenge denoise and downsample this signal!.mp4 25.17 MB
9. Outlier detection/3. Outliers via local threshold exceedance.mp4 77.34 MB
9. Outlier detection/2. Outliers via standard deviation threshold.mp4 69.63 MB
9. Outlier detection/4. Outlier time windows via sliding RMS.mp4 46.09 MB
9. Outlier detection/5. Code challenge.mp4 39.06 MB
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