BEAMLAB 200
for Matlab 5.x or 6.x

Current Release

David Donoho
Ana Georgina Flesia
Xiaoming Huo
Ofer Levi

Major Contributions from

Sou Cheng Choi
Danzhu Shi

What is BeamLab?

BeamLab is a collection of Matlab functions that have been used by the authors and collaborators to implement a variety of computational algorithms related to beamlet, curvelet,  ridgelet analysis.  It includes about 900 Matlab files, datasets, and demonstration scripts. Some computationally expensive routines have been implemented as Matlab MEX functions.

What is New?

For the new version (BeamLab200), we add in scripts to reproduce figures in recent papers by researchers from the Stanford Statistics Department (David L. Donoho) and their collaborators:

• D. Donoho and X. Huo, Beamlets and Multiscale Image Processing, 2001  
• A. Averbuch, R. Coifman, D. Donoho, M. Israeli and J. Walden, Fast Slant Stack: A notion of Radon Transform for data on a Cartesian grid which is Rapidly Computable,Algebraically Exact, Geometrically Faithful, and Invertible, 2001  
• D. Donoho and A. Flesia, Digital Ridgelet Tranasform Based on True Ridge Functions, 2002   
• A. Flesia, H. Hel-Or, A. Averbuch, E. Cand`es, R. Coifman, D. Donoho, Digital Implementation of Ridgelet Packets, 2002   
• D. Donoho and O. Levi, Fast X-Ray and Beamlet Transforms for Three-Dimensional Data, 2002   
• D. Donoho and M. Duncan, Digital Curvelet Transform: Strategy, Implementation and Experiments, 1999   
• J.L. Starck, E. Candes, D. Donoho, The Curvelet Transform for Image Denoising, 2002   
• J.L. Starck, E. Candes, D. Donoho, Very High Quality Image Restoration by Combining Wavelets and Curvelets , 2002   
• J.L. Starck, E. Candes, D. Donoho, Astronomical Image Representation by the Curvelet Tansform , 2002   
• J.L. Starck, F. Murtagh , E. Candes, D. Donoho, Gray and Color Image Contrast Enhancement by the Curvelet Transform, , 2002   

indicates Acrobat file. Free reader here.
indicates compressed PostScript file. Free viewer here.

Philosophy -- why do it?

BeamLab implements the concept of reproducible research.

The idea is: An article about computational science in a scientific publication is not the scholarship itself, it is merely advertising of the scholarship. The actual scholarship is the complete software development environment and the complete set of instructions which generated the figures.

We make BeamLab available to make the full content of our scholarship available, enabling others to understand and reproduce our work.

Links

• Binary code for MEX
• WaveLab 802
• Registration page
• Release notes

How to Download?

We offer a uniform download format for the following platforms:

• Macintosh
• Unix/Linux
• Windows

How to Install?

We provide detailed instructions for installation.

• Macintosh
• Unix
• Windows

We recommend a system which has at least 42MB space reserved for the BeamLab files and a minimum of 64MB memory and which runs Matlab release 12.1.

How to Register?

If you have been using BeamLab and have not registered, please do so.

By registering, you will get information about new releases and other information that we believe will serve your interests.

Who to Contact?

Email is the best way to contact us. Our email address is:

Precompiled MEX files -- how to run fast?

On most platforms, our installation procedure will automatically compile MEX files to accelerate certain key components of the BeamLab library. In case you do not have a Matlab MEX file compiler, we provide a library of precompiled executable MEX files for various platforms. The platforms we support include

• Windows (NT, 95, 98)
• MAC
• UNIX (Linux, Sun Solaris, SGI)

If you find that your platform is not included here and you would like to help us to compile the MEX source files, please contact us by email.

BeamLab Documentations

We provide the following document for BeamLab: