This toolbox contains Matlab code for several graph and mesh partitioning methods, including geometric, spectral, geometric spectral, and coordinate bisection. It also has Routines to generate recursive multiway partitions, vertex separators, and nested dissection orderings and it has some sample meshes and mesh generators.
The toolbox contains a Matlab interface to Leland and Hendrickson s Chaco partitioning package, but it doesn t contain Chaco itself. The file "chaco/README" tells how to install the interface to Chaco. It also contains a Matlab interface to Karypis et al. s Metis partitioning package, using Robert Bridson s "metismex" code.
A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of discrete time series. Noother wavelet package is necessary -- everything is contained in this archive. The C-code computes the DWT and maximal overlap DWT. MATLAB Routines are then used to compute such quantities as the wavelet variance, covariance, correlation, cross-covariance and cross-correlation. Approximate confidence intervals are available for all quantities except the cross-covariance and cross-correlation.
A set of commands is provided. For a description of this example, please see http://www.eurandom.tue.nl/whitcher/software/.
This package contains example software and associated documentation for the
ColdFire MCF5249 microprocessor. The software includes sample processor
initialization Routines for the MCF5249 running a M5249C3 evaluation board as
well as the following sample applications:
simple - empty application template
fat - factory acceptance test for the M5249C3
The software has currently been built and tested under Metrowerks CodeWarrior
The intent of the software contained on this CD is to provide support for the material covered in the textbook. All programs have been developed and tested using MATLAB Version 5.2. Although the authors believe that all Routines should be compatible with earlier versions of MATLAB, this may not be the case. The software is maintained and regularly updated through our Web-site at www.wpi.edu/ece/EM_RF_lab/book. It is assumed that the user has a basic knowledge of MATLAB. Support of MATLAB is maintained through the MathWorks, Inc. Web-site at www.mathworks.com.
The intent of the software contained on this CD is to provide support for the material covered in the textbook. All programs have been developed and tested using MATLAB Version 5.2. Although the authors believe that all Routines should be compatible with earlier versions of MATLAB, this may not be the case. The software is maintained and regularly updated through our Web-site at www.wpi.edu/ece/EM_RF_lab/book. It is assumed that the user has a basic knowledge of MATLAB. Support of MATLAB is maintained through the MathWorks, Inc. Web-site at www.mathworks.com.
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling Routines. These are generic and suitable for any application.
QccPack-0.54-1 released (2007-04-30) is being developed and tested on Fedora Core Linux. QccPack provides an open-source collection of library Routines and utility programs for quantization, compression, and coding of data.
We often get questions about how the deflate() and inflate() functions should be used. Users wonder when they should provide more input, when they should use more output, what to do with a Z_BUF_ERROR, how to make sure the process terminates properly, and so on. So for those who have read zlib.h (a few times), and would like further edification, below is an annotated example in C of simple Routines to compress and decompress from an input file to an output file using deflate() and inflate() respectively. The annotations are interspersed between lines of the code. So please read between the lines. We hope this helps explain some of the intricacies of zlib.
Zlib函數(shù)列表 We often get questions about how the deflate() and inflate() functions should be used. Users wonder when they should provide more input, when they should use more output, what to do with a Z_BUF_ERROR, how to make sure the process terminates properly, and so on. So for those who have read zlib.h (a few times), and would like further edification, below is an annotated example in C of simple Routines to compress and decompress from an input file to an output file using deflate() and inflate() respectively. The annotations are interspersed between lines of the code. So please read between the lines. We hope this helps explain some of the intricacies of zlib.
This module is common to all of the Example programs
It declares the {Open, Read, Write, Close} calls for the USB device
These user-calls are translated into OS system calls
This module also contains several support Routines used by all of the examples
