Johns Hopkins University Random Processes 2024

404.92 MB | 00:12:59 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01-welcome course and module 1 overview.mp4 (11.1 MB)
02-definition and applications of random processes.mp4 (13.47 MB)
03-types of random processes and fields.mp4 (48.76 MB)
04-review of random variables and notation.mp4 (39.32 MB)
05-marginal distributions of random processes.mp4 (12.08 MB)
01-overview of module 2.mp4 (9.26 MB)
02-review of mixed moments covariance and correlation.mp4 (21.61 MB)
03-correlation function of a random process.mp4 (21.42 MB)
04-correlation length of a random process.mp4 (16.89 MB)
05-calculation of sample correlation function and correlation length.mp4 (16.22 MB)
01-overview of module 3.mp4 (9.38 MB)
02-fourier transforms.mp4 (11.86 MB)
03-spectral density function.mp4 (14.25 MB)
04-basic properties of spectral density functions.mp4 (9.74 MB)
05-spectral moments.mp4 (20.97 MB)
06-calculating the spectral density function and spectral moments.mp4 (11 MB)
01-overview of module 4.mp4 (5.61 MB)
02-simulation of random processes using the correlation function.mp4 (59.39 MB)
03-simulation of random processes based on the spectral density function.mp4 (23.05 MB)]
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