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Probabilities, random variables, and random processes
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Probabilities, random variables, and random processes
:
digital and analog
Michael O'Flynn
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Harper & Row
, 1982 -
Mathematics
-
523 pages
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Contents
Prerequisites of Probability Theory
3
The Foundation of Probability Theory
35
General Formulation and Solution of Problems
69
Copyright
11 other sections not shown
Common terms and phrases
assumed
autocorrelation function
average
axiom
balls
Chapter
Consider the random
convolution
correlation integrals
cross-correlation
cross-correlation function
cumulative distribution function
defined
definition
delta function
denoted
derivation
deterministic
discrete Fourier transform
discrete probability theory
discrete random process
discrete random variables
DRILL SET
ensemble
ergodic
evaluate
event space
Example
first-order stationary
formula
fundamental theorem
fxY(a,P
given
impulse response
joint density function
joint mass function
Laplace transform
Laurent series
linear system
mean square value
member waveform
mutually exclusive
notation
obtained
otherwise
periodic function
periodic waveform
permutations
plotted in Figure
points
power spectral density
probability measure
problem
properties
pulse
px(a
random input
random phenomenon
range
Rxx(k
Rxx(r
Rxx(t
Rxy(r
sample description space
sampled values
second-order stationary
set theory
shown in Figure
shown plotted
signal
sketch
SOLUTION
solved
stationary random process
statistics
Sxx(u
Ticket Pays
two-sided Laplace transform
two-sided z transform
typical member
variance
Wiener filter
zero-mean
Bibliographic information
Title
Probabilities, random variables, and random processes: digital and analog
Author
Michael O'Flynn
Edition
illustrated
Publisher
Harper & Row, 1982
Original from
the University of Michigan
Digitized
9 Mar 2010
ISBN
0060449152, 9780060449155
Length
523 pages
Subjects
Mathematics
›
Probability & Statistics
›
General
Mathematics / Probability & Statistics / General
Mathematics / Probability & Statistics / Stochastic Processes
Probabilities
Random variables
Signal processing
Stochastic processes
 
 
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