Fortran Correlation

PG2PLplot is a library that facilitates the transition from PGplot to PLplot with Fortran programs

PARAMESH is a package of Fortran 90 subroutines designed to provide anapplication developer with an easy route to extend an existing serialcode which uses a logically cartesian structured mesh into a parallelcode with adaptive mesh refinement(AMR).

The goal of this project is to develop an open source event correlator called SEC (Simple Event Correlator) that could be used for network management, log file monitoring, security management, and other tasks which involve event correlation.


Platforms: Windows, Mac, Linux

'Statistics for MySQL' provides additional statistical functions (like Pearson's coefficient of correlation) which are missing in MySQL. DLLs for 32 and 64bit Windows as well as makefiles for Linux are available.


Platforms: Windows, Mac, BSD, Linux

Plugins for integrating third party languages in Xcode (Objective-Caml, Fortran, Ada) - Xcode Plugin API description.


Platforms: Mac

GNU libmatheval is a library (callable from C and Fortran) to parse and evaluate symbolic expressions input as text. It supports expressions in any number of variables of arbitrary names, decimal and symbolic constants, basic unary and binary operators, and elementary mathematical functions. In...


Platforms: *nix, C/C++, BSD

In Radars, range resolution and long range of operation are the two important aspects. Long range operation means the maximum distance over which radar can detect the targets. The radar transmit modulated pulses to take the advantages of better processing gain and resolution of these waveforms...


Platforms: Matlab

This program performs a Monte Carlo simulation of a coherent QPSK communication system and plot the error probability performance over additive whit Gaussian noise channel. The detection is based on correlation metric. Simulation is performed for 10,000 bits and measurements are made accordingly.


Platforms: Matlab

DFT plays important role in DSP and used in wide variety of applications like correlation and spectral analysis. Understanding quantization errors in its computation is an important aspect of its design either for s/w or h/w implementation.A complex DFT of N points has N complex (4N real)...


Platforms: Matlab

This file set includes a top level unsychronized Tx / Rx model and a more detailed synchronized Rx model. The top level model Tx outptut has been tested with a third party reference mil-std-188-110 modem and found to generates compliant waveforms. A variable symbol rate Tx driving the...


Platforms: Matlab

A fast vectorized implementation of the ncc that handles color (3 channel) images as well as gray level.The algorithm for colored images is based on the ncc formulation for vector valued functions.Note: A bug that I found in the normxcorr2 was also fixed here.


Platforms: Matlab

Develop a Matlab program to demonstrate a neural network autoassociative memory. Show the importance of using the pseudoinverse in reducing cross correlation matrix errors. Show the performance of the autoassociative memory in noise. The results are contained in the Matlab file assoc_mem_demo.m


Platforms: Matlab

This is a small example code for "Steepest Descent Algorithm". It implements steepest descent Algorithm with optimum step size computation at each step. The code uses a 2x2 correlation matrix and solves the Normal equation for Weiner filter iteratively.Reference:Adaptive Filter Theory 3rd...


Platforms: Matlab

Let us assume the following MIMO model:Y(k)=HX(k)+Y(k)This file can detect the number of sources, i.e the size of the vector X(k) from the received signal Y(k). The noise is assumed spatially white and the number of receivers must be strictly greater than the number of sources. For more details...


Platforms: Matlab

Only in very simple situations can we describe the correlation between two time series as a single number. Often it varies both as a function of time, and of wavelength. Datasets may be uncorrelated on short timescales due to noise, but strongly correlated on larger wavelengths (eg annual).This...


Platforms: Matlab

Used on cellular phones to filter outbackground noise. Measure the signal to noise ratio of an audio input in realtime. Pass speech but give silence where the input is noise (hiss, snap crackle and pop).Includes a tutorial on how to use statistics (correlation coefficient) to calculate the signal...


Platforms: Matlab

The zip file contains functions to calculate an Ambiguity Function (XAMB), Upsampled and Interpolated Correlation (XCORRU), and Coherence Function (XCOH). A prefilter can be specified in each function to "sharpen" correlation peaks.XAMB calculates an estimate of the (cross-)ambiguity function. A...


Platforms: Matlab

This script demonstrates the influence of range reduction algorithm at low bitrate encoding using JPEG encode. The range [0-255] of pixel values is mapped to [64-235] in this script using a look-up-table. Subsequently, the file is compressed to achieve the same bit-rate (file size) as that of the...


Platforms: Matlab

For several different reasons it could occur that we need to produce a signal from the sum of several harmonic components. In the usual case of Fourier analysis, FFT and IFFT are likely the best choice. However it could happen that:- The frequencies of the harmonic components are unevenly spaced-...


Platforms: Matlab

Compilation of .m files to calculate strain from images independent of physical size of the samples. Strain can be calculated in horizontal as well as vertical direction. The functions were developed at the Johns Hopkins University by Rob Thompson, Daniel Gianola and me, all of us part of the...


Platforms: Matlab