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Subband processing with lapped transforms and modulated FBs
From: |
Juuso Alhava |
Subject: |
Subband processing with lapped transforms and modulated FBs |
Date: |
Sun, 18 May 2008 08:11:13 -0700 (PDT) |
Dear good people,
Below is a download link for my MFB/LT function collection.
(The efforts to make this package fully compatible with the
OCTAVE is still in progress. My apolgies beforehand for the
error messages in prototype filter design)
---
In a nutshell: modulated filter banks[lapped transforms] are discrete
time-frequency
analysis tools where the sinusoidal waveforms are localized with a prototype
filter[window function]. Based on the sheer count of published papers, one
would
also expect to find some pieces of useful code from the web. If such
collections exist,
they seem to be hidden from the search engines.
But in case your research/study interests coincide with critically sampled
perfect
reconstruction systems, the following link might be useful:
http://www.students.tut.fi/~jalhava/lt/intro.html
You can download there a collection of MFB algorithms and some design
routines.
The www-pages also serve as a tutorial for the LT-toolbox. The m-file
package
is still under developement so I have not verified the functionality with
other MATLAB versions than r2007a (windows).
A major rewrite is under consideration but there still some unsolved
problems:
* Is it possible to factorize any 2-channel PR system into lifting steps?
Namely, I can generate such low-delay biorthogonal low/highpass system
where MATLAB filt2ls-function fails. Is this a wavelet toolbox "feature"
or what?
* Non-linear optimization problem solver for OCTAVE that is comparable with
the MATLAB's fmincon.
* 2-D filter banks: What is the fastest "direction" to apply the filtering?
Block-wise, column-wise, does it make sense to divide the actual filtering
into modulation and polyphase parts?
* Handling the signal edges without allocating new space for the extended
data
matrix
But anyway, any contribution for this non-profit project is welcome.
Improvements, faster code and new features? Please, share your code.
Best subband processing wishes,
Juuso Alhava
--
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