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Started by Seetamraju UdayaBhaskar Sarma
Sun, 20 Dec 1992 21:29
... help : Estimating width of Fourier Spectrum ...
Author: Seetamraju UdayaBhaskar Sarma
Date: Sun, 20 Dec 1992 21:29
Date: Sun, 20 Dec 1992 21:29
64 lines
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4108 bytes
((Is there a `sci.engr.electricalEngg ? followups to sci.engr))
Could someone help me with the following problem :-
I handle two types of functions :-
1. One is in the form of a black-box ((i.e.,I give it input and
it gives me output : nothing else is known about the function)).
2. The other is in the form of a mathematical expression (single equation?)
How does one estimate the ``WIDTH'' of the fourier spectrum of the function
====================
given in either of the forms above...
There is no direct way, and I havent found any literature on how to `converge
successively using an algorithmic approach' ...
For example, the fourier spectrum can be :- (Left half of real axis)
x
x
x
x
x
x x x
x
x x x
x x
x x
x x
x x
x x x x x x x
x x x x x x x x
x x x x x
x x xx
Peak @ 0 30th 2nd peak
harmonic
Lets say I sampled with the Nyquists rate of 15, then I would see half of what is above
and there is a fifty percent chance that I (a human decision) will erroneusly conclude
that the higher harmonics have progressively lesser spectral energy...
The above is rephrased version of the question :: What must be the sampling
rate to include about 95% of the TOTAL spectral energy :: How can one estimate
(The key word here is ESTIMATE) what the highest frequency componenets are
BY LOOKING AT THE FUNCTION (the black box version is clearly a toughie)...???
An approximation is sufficient.
I have functions (man made though) that are in expression form, and whose spectrum
is closely resembling the absolute value version of the SINC wave... but with a
large separation between each peaks..
I am actually dealing with TIME_DELIMITED functions, which are converted
INTO periodic functions, bringing sense to the 95% spectral energy requirement
as now we have discrete harmonics (rather than a continuous range of freqs).
Seetamraju Udaya Bhaskar Sarma
(email : seetam @ ece7 . eng . wayne . edu)
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