Generalities about the Matlab software on this site

The Matlab routines downloadable from this page have been developed to support numerical computations for papers I have (co-)written in recent months and years. Given my limited expertise in writing software, I do not make any claims on correctness, efficiency, robustness, and reliability of the included m-files (even though I have tested most of the routines extensively). Everything which comes for free comes with no warranty!

Using these Matlab routines requires MATLAB V5.0 or higher, some familiarity with Matlab programming, and above all, some knowledge of the application area they are intended for. A cross-reading of the paper they are attached to would not hurt. To make their use a bit less painful, I have commented them to some extent (the Matlab command help filename will give basic information about aim and input/output of the function in filename.m), and included a READ.me file that lists all files, together with short comments. As a rule, there are input files for the examples in the particular paper the routines are attached to, and a prototypical MyMain.m file which could be used to develop new applications.

It is my hope that some people will find posting these m-files useful, for the purpose of checking them out or applying them to their own applications. Reports on improvements, bugs (and fixes for them), as well as general comments to the above e-mail address are welcome. I myself plan to update the existing routines and add new ones from time to time.

Downloading instructions

• Click where indicated to download the compressed tar-file into a directory on your machine. Make sure that the file has extension .tar.gz .
• Decompress using: gunzip -c filename.tar.gz > filename.tar .
• Extract the files: tar -xvf filename.tar . This will create a new subdirectory in your current directory where all m-files are located.
• Read READ.me before using the routines.

A. Investigating (vector) subdivision schemes with isotropic dilation

• Tools for investigating Sobolev (and Hoelder) smoothness and stability issues for stationary vector subdivision schemes resp. refinable vectors. Most of the routines cover up to 3 dimensions, arbitrary isotropic dilation and arbitrary matrix symbols.
• Written in connection with: Q. Jiang, P. Oswald, On the analysis of sqrt(3)-subdivision schemes , preprint, April 2001.
• Click here to download the files following the above instructions. As a result, a subdirectory named SubDivSmth containing all files will be created in your current directory.
• Go to Qingtang Jiang's homepage for his Matlab routines related to the above paper.
• Look at this IGPM-site at RWTH Aachen for information on the Villemoes machine (a Matlab GUI for estimating Hoelder exponents).
• For Bin Han's recent papers and C programs for computing wavelet regularity, with special emphasis on exploring mask symmetries, visit his webpage at University of Alberta, Edmonton, Canada.

B. Degree distributions for LDPC forward error correcting codes

• These routines allow to reproduce the numerical results in P. Oswald, M. A. Shokrollahi, Capacity-achieving sequences for the erasure channel, IEEE Trans. on Information Theory, 2002 (accepted),
resp. its preprint version . Some more details on the algorithms used in these routines can be found here.
• Click here to download the Matlab files following the above instructions. As a result, a subdirectory named LDPC containing all files will be created in your current directory.

More to come!

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