compmethods-005 (438 files)
 01_Computational_Methods_Course_Overview/01_Course_Overview.mp4 |
16.21MB |
| 01_Computational_Methods_Course_Overview/01_Course_Overview.srt |
4.05kB |
| 01_Computational_Methods_Course_Overview/01_Course_Overview.txt |
2.77kB |
| 02_Introduction_to_the_Course/01_Course_Introduction_9-30.mp4 |
59.97MB |
| 02_Introduction_to_the_Course/01_Course_Introduction_9-30.srt |
12.93kB |
| 02_Introduction_to_the_Course/01_Course_Introduction_9-30.txt |
8.86kB |
| 03_MATLAB_Usage_in_Course/01_Use_of_MATLAB_for_the__course_2-41.mp4 |
16.92MB |
| 03_MATLAB_Usage_in_Course/01_Use_of_MATLAB_for_the__course_2-41.srt |
3.26kB |
| 03_MATLAB_Usage_in_Course/01_Use_of_MATLAB_for_the__course_2-41.txt |
2.24kB |
| 04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/01_W01_L01_P01_-_Basics_of_the_Fourier_Transform_10-16.mp4 |
27.70MB |
| 04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/01_W01_L01_P01_-_Basics_of_the_Fourier_Transform_10-16.srt |
11.73kB |
| 04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/01_W01_L01_P01_-_Basics_of_the_Fourier_Transform_10-16.txt |
8.07kB |
| 04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/02_W01_L01_P02_-_Representation_of_signals_as_frequencies_10-01.mp4 |
29.39MB |
| 04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/02_W01_L01_P02_-_Representation_of_signals_as_frequencies_10-01.srt |
12.39kB |
| 04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/02_W01_L01_P02_-_Representation_of_signals_as_frequencies_10-01.txt |
8.51kB |
| 04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/03_W01_L01_P03_-_Implementing_the_FFT_routine_13-24.mp4 |
27.06MB |
| 04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/03_W01_L01_P03_-_Implementing_the_FFT_routine_13-24.srt |
15.68kB |
| 04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/03_W01_L01_P03_-_Implementing_the_FFT_routine_13-24.txt |
10.78kB |
| 04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/04_W01_L01_P04_-_Derivatives_with_the_FFT_9-35.mp4 |
17.44MB |
| 04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/04_W01_L01_P04_-_Derivatives_with_the_FFT_9-35.srt |
12.10kB |
| 04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/04_W01_L01_P04_-_Derivatives_with_the_FFT_9-35.txt |
8.33kB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/01_W01_L02_P01_-_The_FFT_for_Radar_8-13.mp4 |
23.98MB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/01_W01_L02_P01_-_The_FFT_for_Radar_8-13.srt |
11.22kB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/01_W01_L02_P01_-_The_FFT_for_Radar_8-13.txt |
7.71kB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/02_W01_L02_P02_-_Signals_FFT_and_noise_11-22.mp4 |
24.67MB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/02_W01_L02_P02_-_Signals_FFT_and_noise_11-22.srt |
14.32kB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/02_W01_L02_P02_-_Signals_FFT_and_noise_11-22.txt |
9.83kB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/03_W01_L02_P03_-_White_noise_on_signals_7-35.mp4 |
16.23MB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/03_W01_L02_P03_-_White_noise_on_signals_7-35.srt |
9.01kB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/03_W01_L02_P03_-_White_noise_on_signals_7-35.txt |
6.21kB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/04_W01_L02_P04_-_Denoising_via_filtering_9-56.mp4 |
21.33MB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/04_W01_L02_P04_-_Denoising_via_filtering_9-56.srt |
11.72kB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/04_W01_L02_P04_-_Denoising_via_filtering_9-56.txt |
8.07kB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/05_W01_L02_P05_-_Signal_detection_and_thresholding_7-00.mp4 |
20.82MB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/05_W01_L02_P05_-_Signal_detection_and_thresholding_7-00.srt |
9.89kB |
| 05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/05_W01_L02_P05_-_Signal_detection_and_thresholding_7-00.txt |
6.76kB |
| 06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/01_W01_L03_P01_-_Averaging_over_white-noise_in_signals_10-33.mp4 |
27.78MB |
| 06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/01_W01_L03_P01_-_Averaging_over_white-noise_in_signals_10-33.srt |
13.61kB |
| 06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/01_W01_L03_P01_-_Averaging_over_white-noise_in_signals_10-33.txt |
9.35kB |
| 06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/02_W01_L03_P02_-_Convergence_to_signal_through_repeated_sampling_12-25.mp4 |
27.66MB |
| 06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/02_W01_L03_P02_-_Convergence_to_signal_through_repeated_sampling_12-25.srt |
14.86kB |
| 06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/02_W01_L03_P02_-_Convergence_to_signal_through_repeated_sampling_12-25.txt |
10.22kB |
| 06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/03_W01_L03_P03_-_Moving_signals_and_averaging_in_frequency_15-23.mp4 |
36.44MB |
| 06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/03_W01_L03_P03_-_Moving_signals_and_averaging_in_frequency_15-23.srt |
18.53kB |
| 06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/03_W01_L03_P03_-_Moving_signals_and_averaging_in_frequency_15-23.txt |
12.68kB |
| 06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/04_W01_L03_P04_-_Signal_detection_through_averaging_and_averaging_10-04.mp4 |
29.02MB |
| 06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/04_W01_L03_P04_-_Signal_detection_through_averaging_and_averaging_10-04.srt |
12.18kB |
| 06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/04_W01_L03_P04_-_Signal_detection_through_averaging_and_averaging_10-04.txt |
8.38kB |
| 07_Week_2_-_Lecture_4_-_The_Windowed_Fourier_Transform/01_W2_L4_P1-A_Window_for_Fourier_Transforming_9-35.mp4 |
31.01MB |
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Type: Course
Metadata:
Tags:
Courseracompmethods
Metadata:
@article{,
title= {[Coursera] Computational Methods for Data Analysis (University of Washington) (compmethods)},
author= {University of Washington},
keywords= {Coursera, compmethods},
abstract= {},
terms= {},
license= {},
superseded= {},
url= {}
}
Citation:
Washington, U. O.. (2017). [Coursera] Computational Methods for Data Analysis (University of Washington) (compmethods) [Data set]. Academic Torrents. https://academictorrents.com/details/4281ef52a65d26489e686a0540d86abd4161b88e
