[Coursera] Computational Methods for Data Analysis (University of Washington) (compmethods)
University of Washington

folder compmethods-005 (438 files)
file01_Computational_Methods_Course_Overview/01_Course_Overview.mp4 16.21MB
file01_Computational_Methods_Course_Overview/01_Course_Overview.srt 4.05kB
file01_Computational_Methods_Course_Overview/01_Course_Overview.txt 2.77kB
file02_Introduction_to_the_Course/01_Course_Introduction_9-30.mp4 59.97MB
file02_Introduction_to_the_Course/01_Course_Introduction_9-30.srt 12.93kB
file02_Introduction_to_the_Course/01_Course_Introduction_9-30.txt 8.86kB
file03_MATLAB_Usage_in_Course/01_Use_of_MATLAB_for_the__course_2-41.mp4 16.92MB
file03_MATLAB_Usage_in_Course/01_Use_of_MATLAB_for_the__course_2-41.srt 3.26kB
file03_MATLAB_Usage_in_Course/01_Use_of_MATLAB_for_the__course_2-41.txt 2.24kB
file04_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
file04_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
file04_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
file04_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
file04_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
file04_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
file04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/03_W01_L01_P03_-_Implementing_the_FFT_routine_13-24.mp4 27.06MB
file04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/03_W01_L01_P03_-_Implementing_the_FFT_routine_13-24.srt 15.68kB
file04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/03_W01_L01_P03_-_Implementing_the_FFT_routine_13-24.txt 10.78kB
file04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/04_W01_L01_P04_-_Derivatives_with_the_FFT_9-35.mp4 17.44MB
file04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/04_W01_L01_P04_-_Derivatives_with_the_FFT_9-35.srt 12.10kB
file04_Week_1_-_Lecture_1_-_Time-Frequency_Analysis_-_Fourier_and_Wavelet_Transforms/04_W01_L01_P04_-_Derivatives_with_the_FFT_9-35.txt 8.33kB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/01_W01_L02_P01_-_The_FFT_for_Radar_8-13.mp4 23.98MB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/01_W01_L02_P01_-_The_FFT_for_Radar_8-13.srt 11.22kB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/01_W01_L02_P01_-_The_FFT_for_Radar_8-13.txt 7.71kB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/02_W01_L02_P02_-_Signals_FFT_and_noise_11-22.mp4 24.67MB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/02_W01_L02_P02_-_Signals_FFT_and_noise_11-22.srt 14.32kB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/02_W01_L02_P02_-_Signals_FFT_and_noise_11-22.txt 9.83kB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/03_W01_L02_P03_-_White_noise_on_signals_7-35.mp4 16.23MB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/03_W01_L02_P03_-_White_noise_on_signals_7-35.srt 9.01kB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/03_W01_L02_P03_-_White_noise_on_signals_7-35.txt 6.21kB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/04_W01_L02_P04_-_Denoising_via_filtering_9-56.mp4 21.33MB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/04_W01_L02_P04_-_Denoising_via_filtering_9-56.srt 11.72kB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/04_W01_L02_P04_-_Denoising_via_filtering_9-56.txt 8.07kB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/05_W01_L02_P05_-_Signal_detection_and_thresholding_7-00.mp4 20.82MB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/05_W01_L02_P05_-_Signal_detection_and_thresholding_7-00.srt 9.89kB
file05_Week_1_-_Lecture_2_-_Radar_Detection_and_Filtering/05_W01_L02_P05_-_Signal_detection_and_thresholding_7-00.txt 6.76kB
file06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/01_W01_L03_P01_-_Averaging_over_white-noise_in_signals_10-33.mp4 27.78MB
file06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/01_W01_L03_P01_-_Averaging_over_white-noise_in_signals_10-33.srt 13.61kB
file06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/01_W01_L03_P01_-_Averaging_over_white-noise_in_signals_10-33.txt 9.35kB
file06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/02_W01_L03_P02_-_Convergence_to_signal_through_repeated_sampling_12-25.mp4 27.66MB
file06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/02_W01_L03_P02_-_Convergence_to_signal_through_repeated_sampling_12-25.srt 14.86kB
file06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/02_W01_L03_P02_-_Convergence_to_signal_through_repeated_sampling_12-25.txt 10.22kB
file06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/03_W01_L03_P03_-_Moving_signals_and_averaging_in_frequency_15-23.mp4 36.44MB
file06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/03_W01_L03_P03_-_Moving_signals_and_averaging_in_frequency_15-23.srt 18.53kB
file06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/03_W01_L03_P03_-_Moving_signals_and_averaging_in_frequency_15-23.txt 12.68kB
file06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/04_W01_L03_P04_-_Signal_detection_through_averaging_and_averaging_10-04.mp4 29.02MB
file06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/04_W01_L03_P04_-_Signal_detection_through_averaging_and_averaging_10-04.srt 12.18kB
file06_Week_1_-_Lecture_3_-_Radar_Detection_and_Averaging/04_W01_L03_P04_-_Signal_detection_through_averaging_and_averaging_10-04.txt 8.38kB
file07_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
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= {}
}


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