ITU-T G.723.1 Speech Coder: Matlab implementation
This package implements the speech coder and decoder. Full documentation
is in the PDF file included with the package. The test folder has test
PROGrams for the coder and decoder (for Windows).
The core of Java(TM) technology, the Java virtual machine is an abstract computing machine that enables the Java(TM) platform to host applications on any computer or operating system without rewriting or recompiling. Anyone interested in designing a language or writing a compiler for the Java virtual machine must have an in-depth understanding of its binary class format and instruction set. If you are programming with the Java programming language, knowledge of the Java virtual machine will give you valuable insight into the Java platform s security capabilities and cross-platform portability. It will increase your understanding of the Java programming language, enabling you to improve the security and performance of your PROGrams.
This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s PROGrams collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).
Exuberant Ctags is a multilanguage reimplementation of the much-underused
ctags(1) program and is intended to be the mother of all ctags PROGrams. It
generates indexes of source code definitions which are used by a number of
editors and tools. The motivation which drove the development of Exuberant
Ctags was the need for a ctags program which supported generation of tags
for all possible C language constructs (which no other ctags offers), and
because most were easily fooled by a number of preprocessor contructs.
This program prints a calendar for a year specified. The user enters a
year for the calendar and the PROGrams automatically prints the calendar
in text format.
This LDPC software is intended as an introduction to LDPC codes computer based simulation. The pseudo-random irregular low density parity check matrix is based on Radford M. Neal’s PROGrams collection, which can be found in [1]. While Neal’s collection is well documented, in my opinion, C source codes are still overwhelming, especially if you are not knowledgeable in C language. My software is written for MATLAB, which is more readable than C. You may also want to refer to another MATLAB based LDPC source codes in [2], which has different flavor of code-writing style (in fact Arun has error in his log-likelihood decoder).
MATFOR FFT Visual Fortran program.
MATFOR Extensions, as implied in the name, are data or components external to MATFOR modules that can be used to add versatility to MATFOR PROGrams. Currently there are two types of extensions available with MATFOR, they are MATLAB Interface and Tecplot FileIO. MATLAB Interface, a new feature in MATFOR 4.1, provides MATFOR users access to MATLAB functions so they can obtain functionality that has not been built into MATFOR. The ability of using MATLAB functions makes MATFOR an ideal tool for those who create prototypes using MATLAB, then do implementation in C++ and other programming languages. Through the use of MATFOR, users may perform quick results comparisons between MATLAB and other languages.
The document describes an AP library adapted for C++. The AP library for C++ contains a basic set of mathematical functions and collection classes needed to run the PROGrams from the ALGLIB website.
The CoinUtils project is a collection of open-source utilities developed and used by a variety of other projects in the COIN-OR repository. The project includes classes for storing and manipulating sparse matrices and vectors, performing matrix factorization, parsing input files in standard formats, building representations of mathematical PROGrams, comparing floating point numbers with a tolerance, performing simple presolve operations, and warm starting algorithms for mathematical PROGrams, among others.
This program is a new way to estimate the coherence function. It s based on the MVDR and is much more reliable than the classical Welch s method implemented in MATLAB.
There are 2 PROGrams: the main program called coherence_MVDR.m and and an example, called illustrate.m, that calls the main function to show how it works. There also included 2 papers that we published on this algorithm.
