Newsgroups: sci.image.processing
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From: az@saturn.analog.com (Alex Zatsman)
Subject: Re: Question: Wavelet Transform vs FFT
In-Reply-To: jk94r@ecs.soton.ac.uk's message of 1 Nov 1994 11:58:31 -0000
Message-ID: <AZ.94Nov3100521@saturn.analog.com>
Sender: usenet@analog.com
Organization: Analog Devices Inc, Norwood MA, USA
References: <395ah7$1vh@wynkyn.ecs.soton.ac.uk>
Date: Thu, 3 Nov 1994 15:05:21 GMT
Lines: 17

In article <395ah7$1vh@wynkyn.ecs.soton.ac.uk> jk94r@ecs.soton.ac.uk (Joseph Kuan) writes:

> 	   Wavelet transform is orthogonal, (FFT as well) but what is the
>    meaning of orthogonal and what is it related to the image
>    processing?

1. Orthogonality of the wavelet basis  means that that decomposition
and reconstruction  is done using the same base functions. 

2. As  someone mentioned in an earlier  thread on wavelets --  sorry I
don't remember  the  name --  orghogonality  also  implies  Parseval's
equation, i.e. the energy of the signal is equal to the sum of squares
of its coefficients in the orghogonal basis.

--
Alex Zatsman,     Analog Devices, Inc., (617) 461-3729
alex.zatsman@analog.com
