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种子名称： [Tutorialsplanet.NET] Udemy - Signal processing problems, solved in MATLAB and in Python
文件类型： 视频
文件数目： 85个文件
文件大小： 5.66 GB
收录时间： 2020-6-27 06:01
已经下载： 3次
资源热度： 306
最近下载： 2024-11-29 03:54

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

1. Introductions/1. Signal processing = decision-making + tools.mp433.2MB

1. Introductions/2. Using MATLAB in this course.mp424.34MB

1. Introductions/3. Using Octave-online in this course.mp433.55MB

1. Introductions/4. Using Python in this course.mp423.7MB

1. Introductions/5. Writing code vs. using toolboxesprograms.mp453.11MB

1. Introductions/6. Using the Q&A forum.mp426.82MB

10. Feature detection/2. Local maxima and minima.mp4126.65MB

10. Feature detection/3. Recover signal from noise amplitude.mp4104.34MB

10. Feature detection/4. Wavelet convolution for feature extraction.mp4135.76MB

10. Feature detection/5. Area under the curve.mp491.16MB

10. Feature detection/6. Application Detect muscle movements from EMG recordings.mp4151.47MB

10. Feature detection/7. Full width at half-maximum.mp4131.28MB

10. Feature detection/8. Code challenge find the features!.mp424.01MB

11. Variability/2. Total and windowed variance and RMS.mp475.57MB

11. Variability/3. Signal-to-noise ratio (SNR).mp4132.79MB

11. Variability/4. Coefficient of variation (CV).mp428.8MB

11. Variability/5. Entropy.mp4112.3MB

11. Variability/6. Code challenge.mp423.53MB

2. Time series denoising/10. Remove artifact via least-squares template-matching.mp484.98MB

2. Time series denoising/11. Code challenge Denoise these signals!.mp47.5MB

2. Time series denoising/2. Mean-smooth a time series.mp466.16MB

2. Time series denoising/3. Gaussian-smooth a time series.mp496.15MB

2. Time series denoising/4. Gaussian-smooth a spike time series.mp442.2MB

2. Time series denoising/5. Denoising EMG signals via TKEO.mp457.17MB

2. Time series denoising/6. Median filter to remove spike noise.mp477.1MB

2. Time series denoising/7. Remove linear trend (detrending).mp412.85MB

2. Time series denoising/8. Remove nonlinear trend with polynomials.mp4109.31MB

2. Time series denoising/9. Averaging multiple repetitions (time-synchronous averaging).mp449.75MB

3. Spectral and rhythmicity analyses/2. Crash course on the Fourier transform.mp4116.86MB

3. Spectral and rhythmicity analyses/3. Fourier transform for spectral analyses.mp4173.98MB

3. Spectral and rhythmicity analyses/4. Welch's method and windowing.mp4121.88MB

3. Spectral and rhythmicity analyses/5. Spectrogram of birdsong.mp476.15MB

3. Spectral and rhythmicity analyses/6. Code challenge Compute a spectrogram!.mp415.22MB

4. Working with complex numbers/2. From the number line to the complex number plane.mp455.24MB

4. Working with complex numbers/3. Addition and subtraction with complex numbers.mp419.89MB

4. Working with complex numbers/4. Multiplication with complex numbers.mp438.96MB

4. Working with complex numbers/5. The complex conjugate.mp423.08MB

4. Working with complex numbers/6. Division with complex numbers.mp418.76MB

4. Working with complex numbers/7. Magnitude and phase of complex numbers.mp448.31MB

5. Filtering/10. Windowed-sinc filters.mp487.7MB

5. Filtering/11. High-pass filters.mp452.42MB

5. Filtering/12. Narrow-band filters.mp455.9MB

5. Filtering/13. Two-stage wide-band filter.mp442.23MB

5. Filtering/14. Quantifying roll-off characteristics.mp487.08MB

5. Filtering/15. Remove electrical line noise and its harmonics.mp491.1MB

5. Filtering/16. Use filtering to separate birds in a recording.mp474.66MB

5. Filtering/17. Code challenge Filter these signals!.mp411.33MB

5. Filtering/2. Filtering Intuition, goals, and types.mp4115.25MB

5. Filtering/3. FIR filters with firls.mp4119.83MB

5. Filtering/4. FIR filters with fir1.mp447.24MB

5. Filtering/5. IIR Butterworth filters.mp480.32MB

5. Filtering/6. Causal and zero-phase-shift filters.mp482.47MB

5. Filtering/7. Avoid edge effects with reflection.mp499.3MB

5. Filtering/8. Data length and filter kernel length.mp465.02MB

5. Filtering/9. Low-pass filters.mp464.01MB

6. Convolution/10. Code challenge Create a frequency-domain mean-smoothing filter.mp416.85MB

6. Convolution/2. Time-domain convolution.mp471.11MB

6. Convolution/3. Convolution in MATLAB.mp4100.74MB

6. Convolution/4. Why is the kernel flipped backwards!!!.mp422.55MB

6. Convolution/5. The convolution theorem.mp468.76MB

6. Convolution/6. Thinking about convolution as spectral multiplication.mp487.65MB

6. Convolution/6.1 TFtheory.mp4.mp418.18MB

6. Convolution/7. Convolution with time-domain Gaussian (smoothing filter).mp449.48MB

6. Convolution/8. Convolution with frequency-domain Gaussian (narrowband filter).mp451.82MB

6. Convolution/9. Convolution with frequency-domain Planck taper (bandpass filter).mp446.06MB

7. Wavelet analysis/10. Code challenge Compare wavelet convolution and FIR filter!.mp413.36MB

7. Wavelet analysis/2. What are wavelets.mp493.01MB

7. Wavelet analysis/3. Convolution with wavelets.mp448.17MB

7. Wavelet analysis/5. Wavelet convolution for narrowband filtering.mp4135.88MB

7. Wavelet analysis/6. Overview Time-frequency analysis with complex wavelets.mp448.65MB

7. Wavelet analysis/8. MATLAB Time-frequency analysis with complex wavelets.mp4140.35MB

7. Wavelet analysis/9. Time-frequency analysis of brain signals.mp463.48MB

8. Resampling, interpolating, extrapolating/10. Code challenge denoise and downsample this signal!.mp425.17MB

8. Resampling, interpolating, extrapolating/2. Upsampling.mp4100.91MB

8. Resampling, interpolating, extrapolating/3. Downsampling.mp4110.76MB

8. Resampling, interpolating, extrapolating/4. Strategies for multirate signals.mp444.17MB

8. Resampling, interpolating, extrapolating/5. Interpolation.mp455.2MB

8. Resampling, interpolating, extrapolating/6. Resample irregularly sampled data.mp493.92MB

8. Resampling, interpolating, extrapolating/7. Extrapolation.mp436.67MB

8. Resampling, interpolating, extrapolating/8. Spectral interpolation.mp477.28MB

8. Resampling, interpolating, extrapolating/9. Dynamic time warping.mp4122.58MB

9. Outlier detection/2. Outliers via standard deviation threshold.mp469.63MB

9. Outlier detection/3. Outliers via local threshold exceedance.mp477.34MB

9. Outlier detection/4. Outlier time windows via sliding RMS.mp446.09MB

9. Outlier detection/5. Code challenge.mp439.06MB