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3. Data distributions/2. Normal and uniform distributions.mp4
14.6MB
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3. Data distributions/2. Normal and uniform distributions.vtt
8.53KB
3. Data distributions/3. QQ plot.mp4
10.85MB
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7.15KB
3. Data distributions/4. Poisson distribution.mp4
12.75MB
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7.01KB
3. Data distributions/5. Log-normal distribution.mp4
6.33MB
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3.87KB
3. Data distributions/6. Measures of distribution quality (SNR and Fano factor).mp4
6.66MB
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4.43KB
3. Data distributions/7. Cohen_s d for separating distributions.mp4
10.69MB
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6.59KB
4. Time series signals/1.1 prodata_TimeSeriesSignals.zip.zip
653.05KB
4. Time series signals/1. Course materials for this section (reader, MATLAB code, Python code).html
66B
4. Time series signals/2. Sharp transients.mp4
8.86MB
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5.18KB
4. Time series signals/3. Smooth transients.mp4
19.86MB
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11.75KB
4. Time series signals/4. Repeating sine, square, and triangle waves.mp4
8.3MB
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4. Time series signals/4. Repeating sine, square, and triangle waves.vtt
3.92KB
4. Time series signals/5. Multicomponent oscillators.mp4
6.2MB
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3.61KB
4. Time series signals/6. Dipolar and multipolar chirps.mp4
15.43MB
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4. Time series signals/6. Dipolar and multipolar chirps.vtt
8.58KB
5. Time series noise/1.1 prodata_TimeSeriesNoise.zip.zip
474.12KB
5. Time series noise/1. Course materials for this section (reader, MATLAB code, Python code).html
69B
5. Time series noise/2. Seeded reproducible normal and uniform noise.mp4
9.58MB
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5. Time series noise/2. Seeded reproducible normal and uniform noise.vtt
5.24KB
5. Time series noise/3. Pink noise (aka 1f aka fractal).mp4
12.11MB
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5. Time series noise/3. Pink noise (aka 1f aka fractal).vtt
6.53KB
5. Time series noise/4. Brownian noise (aka random walk).mp4
8.03MB
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5. Time series noise/4. Brownian noise (aka random walk).vtt
4.59KB
5. Time series noise/5. Multivariable correlated noise.mp4
13.22MB
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5. Time series noise/5. Multivariable correlated noise.vtt
7.91KB
6. Image signals/1.1 prodata_imageSignals.zip.zip
263.57KB
6. Image signals/1. Course materials for this section (reader, MATLAB code, Python code).html
70B
6. Image signals/2. Lines and edges.mp4
6.51MB
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6. Image signals/2. Lines and edges.vtt
3.74KB
6. Image signals/3. Sine patches and Gabor patches.mp4
9.17MB
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6. Image signals/3. Sine patches and Gabor patches.vtt
4.85KB
6. Image signals/4. Geometric shapes.mp4
7.29MB
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6. Image signals/4. Geometric shapes.vtt
3.38KB
6. Image signals/5. Rings.mp4
3.81MB
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6. Image signals/5. Rings.vtt
2.88KB
7. Image noise/1.1 prodata_imageNoise.zip.zip
654.15KB
7. Image noise/1. Course materials for this section (reader, MATLAB code, Python code).html
72B
7. Image noise/2. Image white noise.mp4
5.05MB
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7. Image noise/2. Image white noise.vtt
2.8KB
7. Image noise/3. Checkerboard patterns and noise.mp4
5.15MB
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7. Image noise/3. Checkerboard patterns and noise.vtt
3.27KB
7. Image noise/4. Perlin noise in 2D.mp4
9.92MB
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7. Image noise/4. Perlin noise in 2D.vtt
4.63KB
7. Image noise/5. Filtered 2D-FFT noise.mp4
8.47MB
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7. Image noise/5. Filtered 2D-FFT noise.vtt
3.97KB
8. Data clustering in space/1.1 prodata_dataClusters.zip.zip
279.1KB
8. Data clustering in space/1. Course materials for this section (reader, MATLAB code, Python code).html
73B
8. Data clustering in space/2. Clusters in 2D.mp4
10.93MB
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8. Data clustering in space/2. Clusters in 2D.vtt
6.55KB
8. Data clustering in space/3. Clusters in N-D.mp4
8.95MB
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8. Data clustering in space/3. Clusters in N-D.vtt
2.05KB
9. Spatiotemporal structure using forward models/1.1 prodata_forwardModels.zip.zip
4.19MB
9. Spatiotemporal structure using forward models/1. Course materials for this section (reader, MATLAB code, Python code).html
116B
9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.mp4
31.41MB
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9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.vtt
9.29KB
9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.mp4
18.42MB
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9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.vtt
4.99KB
9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.mp4
33.73MB
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9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.vtt
15.49KB
Discuss.FreeTutorials.Us.html
165.68KB
FreeCoursesOnline.Me.html
108.3KB
FreeTutorials.Eu.html
102.23KB
How you can help Team-FTU.txt
259B
[TGx]Downloaded from torrentgalaxy.org.txt
524B
Torrent Downloaded From GloDls.to.txt
84B
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