2009. 5. 27. 21:02
@GSMC/홍대형: Statistical Communication Theory
Yates & Goodman
Probability and Stochastic Process, 2nd ed.
Chapter 10 Stochastic Processes
http://en.wikipedia.org/wiki/Stochastic_process
One approach to stochastic processes treats them as functions of one or several deterministic arguments ("inputs", in most cases regarded as "time") whose values ("outputs") are random variables: non-deterministic (single) quantities which have certain probability distributions.
10.1 Definitions and Examples
NRZ 파형
http://en.wikipedia.org/wiki/Non-return-to-zero
Probability and Stochastic Process, 2nd ed.
Chapter 10 Stochastic Processes
http://en.wikipedia.org/wiki/Stochastic_process
One approach to stochastic processes treats them as functions of one or several deterministic arguments ("inputs", in most cases regarded as "time") whose values ("outputs") are random variables: non-deterministic (single) quantities which have certain probability distributions.
stochastic processes = random functions of time
-> time suquence of the events
time structure of a process vs. amplitude structure of a random variable
(autocorrelation function and autocovariance function vs. expected value and variance)
Poisson
Brownian
Gaussian
Wide sense stationary processes
cross-correlation
-> time suquence of the events
time structure of a process vs. amplitude structure of a random variable
(autocorrelation function and autocovariance function vs. expected value and variance)
Poisson
Brownian
Gaussian
Wide sense stationary processes
cross-correlation
10.1 Definitions and Examples
NRZ 파형
http://en.wikipedia.org/wiki/Non-return-to-zero
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