filmov
tv
Pillai Grad Lecture 9 'Stochastic Inputs to Linear Systems'
Показать описание
Cross correlation and autocorrelation of the output stochastic process of a linear time-invariant system is derived here in terms of the input stochastic process autocorrelation function and the impulse response of the system both in the general case and when the input is a wide sense stationary process. Specific examples such as a differentiator applied to a stationary Gaussian process is also worked out to illustrate some interesting consequences.
Pillai Grad Lecture 9 'Stochastic Inputs to Linear Systems'
Pillai Lecture 9 Stochastic Processes to Systems and Input-Output Relations Fall20
Pillai EL6333 Lecture 9 April 10, 2014 'Introduction to Stochastic Processes'
Pillai: Grad lecture 11 'Discrete Time Stochastic Processes'
''Papoulis Pillai Chapter 9 Problem 9 43'' - Sujana Gurang
Pillai Lecture 8 Stochastic Processes Fundamentals Fall20
Pillai 'Randomly Compressed Stochastic Processes'
Pillai: Covaiance and Correlation Coefficient
Pillai: Autocorrelation Function ?
Pillai Probability 'Poisson Processes'
Pillai: Grad Probability: Bayes' Theorem and Inference
Pillai: 'Band Limited Signals' with Finite Duration (Pulses)
Pillai 'Whitening Filter'
Probability Lecture 12: Stochastic Processes and LTI Systems
Pillai: 'Magnitude and Phase of Two correlated Jointly Gaussian Random Variables'
Pillai: Smoothing
Pillai: Fourth Order Gaussian Moments
Probability Pillai 'Uncorrelated but not Independent Gaussian Random Variables'
Pillai 'Autocorrelation Function'
Pillai Grad Lecture 8 'Basics of Stationary Stochastic Processes'
Stochastic Systems - Lecture 1
EL6333 Lect 10 April 2014 'Stationary Stochastic Processes to LTI systems, Poisson Processes&ap...
Pillai: Random Processes to Linear Systems
Pillai 'Stochastic Process applied to an LTI System'
Комментарии