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Practical Biomedical Signal Analysis Using MATLAB
book

Practical Biomedical Signal Analysis Using MATLAB

by Katarzyn Blinowska, Jaroslaw Zygierewicz
September 2011
Intermediate to advanced content levelIntermediate to advanced
324 pages
10h 9m
English
CRC Press
Content preview from Practical Biomedical Signal Analysis Using MATLAB
38 Practical Biomedical Signal Analysis Using MATLAB
R
is a sum of squares of two independent variables of normal distribution; hence each
frequency component of estimator
ˆ
S( f ) has a distribution given by:
ˆ
S( f )
S( f )
=
χ
2
2
2
(2.35)
where χ
2
2
is a chi-square statistics of two degrees of freedom (corresponding to the
real and imaginary parts of Fourier transform) [Bendat and Piersol, 1971]. Please
note that the above expression is independent of the observation time T, which means
that increasing of epoch T does not change the distribution function describing the
error of the estimator. The increase of the time of observation T increases only the
number ...
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Publisher Resources

ISBN: 9781439812037