Books
in black and white
Main menu
Share a book About us Home
Books
Biology Business Chemistry Computers Culture Economics Fiction Games Guide History Management Mathematical Medicine Mental Fitnes Physics Psychology Scince Sport Technics
Ads

Detection, Estimation modulation theory part 1 - Vantress H.

Vantress H. Detection, Estimation modulation theory part 1 - Wiley & sons , 2001. - 710 p.
ISBN 0-471-09517-6
Download (direct link): sonsdetectionestimati2001.pdf
Previous << 1 .. 239 240 241 242 243 244 < 245 > 246 247 248 249 250 251 .. 254 >> Next

P operator to denote d/dt (used infrequently)
Po fixed probability of interval error in PFM problems
˳*,( probability density of r, given that Hi is true
Px,(Xt) or probability density of a random process at time t
Pxt{X'. t)
eigenfunction
m /th coordinate function, ith eigenfunction
() moment generating function of random variable x
m phase of signal
MO low pass phase function
P(0 cross-correlation matrix between input to message
?f, r) generator and additive channel noise
state transition matrix, time-varying system
state transition matrix, time-invariant system
1

>
?
Pr[.], Pr(.) probability of event in brackets or parentheses
(, Marcums Q function
Gn(', w) inverse kernel
height of scalar white noise drive
Q covariance matrix of vector white noise drive (Section
Q 6.3)
inverse of covariance matrix
Qi, Qo inverse of covariance matrix Kl5 K0
Qn(w, Z) inverse matrix kernel
R rate (digits/second)
Rx(t, m) correlation function
risk
&(</(*), 0 risk in point estimation
^-abs risk using absolute value cost function
Bayes risk
680 Glossary
risk using fixed test
risk using mean-square cost function
^unf risk using uniform cost function
received waveform (denotes both the random process
and a sample function of the process)
rc(.t) combined received signal
ra(0 output when inverse kernel filter operates on r(t)
(1) term approximation
r*( 0 output of whitening filter
*(0 actual output of whitening filter (sensitivity context)
r**(0 output of SQ((x)) filter (equivalent to cascading two
whitening filters)
Pli normalized correlation s^t) and Sj(t) (normalized signals)
Pl2 normalized covariance between two random variables
R(0 covariance matrix of vector white noise w(0
R correlation matrix of errors
*, error correlation matrix, interval estimate
r, R observation vector
', ] radial prolate spheroidal function
S(jo>) Fourier transform of s(t)
Sc(co) spectrum of colored noise
Sonl, ] angular prolate spheroidal function
^(oj) Fourier transform of Q(t)
Sr(cu) power density spectrum of received signal
power density spectrum
S'eoO) transform of optimum error signal
signal component in r(t), no subscript when only one
signal
s(t, ) signal depending on A
j(*, (0) modulated signal
Sa(!) actual s(t) (sensitivity context)
Sl{t) interfering signal
SiaiO actual interfering signal (sensitivity context)
Si coefficient in expansion of s(t)
Previous << 1 .. 239 240 241 242 243 244 < 245 > 246 247 248 249 250 251 .. 254 >> Next