Name | DL | Torrents | Total Size | Video Lectures [edit] | 155 | 727.63GB | 3111 | 0 |
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 |
Type: Course
Tags: Coursera, compmethods
Bibtex:
Tags: Coursera, compmethods
Bibtex:
@article{, title= {[Coursera] Computational Methods for Data Analysis (University of Washington) (compmethods)}, author= {University of Washington}, keywords= {Coursera, compmethods}, abstract= {}, terms= {}, license= {}, superseded= {}, url= {} }