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Usage of Fourier transforms...

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Srinu

Jan 1, 1970
0
Hi all, this topic is of electronics-communication interest. Here my
query is, what is the usage of Fourier transform ? Why it is so widely
used in image processing and communication equipments ? Please suggest.
 
P

PeteS

Jan 1, 1970
0
Srinu said:
Hi all, this topic is of electronics-communication interest. Here my
query is, what is the usage of Fourier transform ? Why it is so widely
used in image processing and communication equipments ? Please suggest.

A lot of different transforms share the generic name 'Fourier
Transform'. A common use is to separate the various components in some
signal for analysis and processing. That's a very broad statement, and
I suggest you look at some resources for yourself to understand what
use that can be.

Decent article at:
http://en.wikipedia.org/wiki/Fourier_transform

P.S. it took less than 5 seconds to type the search and get that hit on
google. We tend to help those who help themselves a bit.

Cheers

PeteS
 
J

Jon Slaughter

Jan 1, 1970
0
PeteS said:
A lot of different transforms share the generic name 'Fourier
Transform'. A common use is to separate the various components in some
signal for analysis and processing. That's a very broad statement, and
I suggest you look at some resources for yourself to understand what
use that can be.

huh? Theres only one fourier transform!
 
There are: Discrete Fourier Transform and Continuous Fourier Transform.
And there a lot of algorithms to calculate Fast Fourier Transform (the
Discrete Fourier Transform). I think it is what he would like to mean.

There are also the Fourier Series, but that is not a integral
transform.

gethostbyname
 
B

Bob Masta

Jan 1, 1970
0
Hi all, this topic is of electronics-communication interest. Here my
query is, what is the usage of Fourier transform ? Why it is so widely
used in image processing and communication equipments ? Please suggest.

One use is image or signal compression. If we can replace (say)
1024 samples of a sine wave (for example) with just a few values
giving frequency, amplitude, and phase, we can get high compression.
Of course, the devil is in the details, but the Fourier transform is
the key to this type of compression (especially lossy compression
like JPEG or MP3).

Best regards,


Bob Masta
dqatechATdaqartaDOTcom

D A Q A R T A
Data AcQuisition And Real-Time Analysis
www.daqarta.com
Home of DaqGen, the FREEWARE signal generator
 
G

Greg Hansen

Jan 1, 1970
0
Srinu said:
Hi all, this topic is of electronics-communication interest. Here my
query is, what is the usage of Fourier transform ? Why it is so widely
used in image processing and communication equipments ? Please suggest.

I don't know much about image processing. But it can be very hard to
work out, e.g., the effect of a filter on an arbitrary input signal.
And you can't work it out if you don't know what the signal is. But
that signal can be decomposed into the sines and cosines in the Fourier
transform, and transforming a differential equation can turn it into an
algebraic equation that is much easier to solve. And you can plot
curves of output versus input strength versus frequency, and phase
advance versus frequency, which completely characterizes its behavior.
As long as the circuit is linear, and you know its effect on pure
sinusoidal waves, you're just a Fourier transform away from determining
its effect on all signals.

There's also a great deal of intuition built on that. For instance, a
low-pass filter will block higher frequencies. Its effect on an
arbitrary signal is to smooth out rapid changes. I'm not sure of a good
way to characterize or even to name a low-pass filter if you didn't have
the concept of frequency that comes in with sinusoidal signals.
 
R

redbelly

Jan 1, 1970
0
Srinu said:
Hi all, this topic is of electronics-communication interest. Here my
query is, what is the usage of Fourier transform ? Why it is so widely
used in image processing and communication equipments ? Please suggest.

One usage is to apply a frequency filter to a time-domain signal. To
do that, you must Fourier-transform the signal into the frequency
domain, multiply that by the desired filter function, and then
inverse-transform the result back to the time domain.

jpeg image compression also involves operations that are easier to
perform in the frequency domain, so it is necessary to do 2-D Fourier
transforms on images.

Mark
 
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