CLAM (Computational Linear Algebra Machine) is an interactive scientific computing environment with a mathematical syntax. It features sparse matrix factorization and sparse linear system solvers. It automatically selects storage formats (sparse, banded, or dense) and appropriate algorithms from its built-in library to match the solution techniques to the problem size and characteristics. It's graphics support points, lines, surfaces, contour plots and image displays for visual interpretation of complicated data sets in animation sequences or statically.
MATLAB is a technical computing environment for high-performance numeric computation and visualization. It integrates numerical analysis, matrix computation, signal processing, and graphics in an easy-to-use environment where problems and solutions are expressed just as they are written mathematically - without traditional programming. It is an interactive system whose basic element is a matrix that does not require dimensioning. This allows you to solve many numerical problems in a fraction of the time it would take to write a program in a language such as Fortran, Basic, or C.
The Image Processing Toolbox is a collection of functions built on MATLAB's powerful numeric computing environment. The toolbox functions support a wide range of image processing operations. Functions include image display, image conversion, colormap operations, filtering and related operations, germetric, enhancement, and analysis operations, image transforms, file I/O operations.
Most of the functions in the Image Processing Toolbox are MATLAB M-files, series of MATLAB statements that implement specialized image processing algorithms. You can change the way any toolbox function works. You can also extend the toolbox by adding your own M-files.
WavBox 1.2 contains Matlab 4.1 m-files to compute discrete wavelet transform for arbitrary length signals using compact orthogonal wavelets with several different convolution versions. Self-running demonstration file is called demodwt.
WavBox 3.0 contains Matlab 4.1 m-files to compute discrete wavelet transform for power-of-2 length signals using compact orthogonal and biorthogonal wavelets with several different convolution versions. It also contains wavelet packet decompositions with adaptive selection of best-basis and best-level bases, consine packet decompositions with adaptive selection of best-basis and best-level bases using wavelet packets with backfitting, self-running demonstration files called demowb, demodwt, demodpd, demowpmp.
WavBox 1.2, 3.0 are freeware available by anonymous ftp from the directory ``/pub/taswell" at the site ``simplicity.stanford.edu" which can also be accessed by the numeric id ``36.8.0.104".
All 205 functions listed in the book ``Numerical Recipes: The Art of Scientific Computing" are included as C source code in the directory /usr/app/numerical or /home2/numerical.