Correlation

OpenESM project to promote software development of enterprise systems management. Focus areas are (Performance and Availability, Configuration Management, Data Warehousing, Reporting and Correlation).

NovoSPT is designed for analyzing Standard Test (SPT/DCPT) blow counts and estimating soil engineering properties using about 300 correlations. The following features are incorporated: - All correction factors including rod length, sampling method and borehole diameter, depth, correction for...

The solution of the nearest correlation matrix applies the hypershpere or spectral decomposition methods as outlined in Monte Carlo methods in Finance by Peter Jackel, Chapter 6.Use CorrelationExample.m that applies a simple example for the two cases.


Platforms: Matlab

Successful Strategies to double Forex accounts monthly or even sooner, The system in this package are based on world daily patterns in combination with a study of the Dow Jones correlation with the Forex market to provide quick BUY or Sell signals to scalp the market. The package includes MT4...


Platforms: Windows

Syslog Center is monitor server daemon software for windows platforms that supports any vendor and helps to monitor, analyze, report and correlate real-time network events. It can be operated as standard windows application or as windows service. The software includes real-time reports,...


Platforms: Windows

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

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

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 collection of functions I wrote for use of MATLAB with tree-ring time series. Functions are included for skeleton plotting, group time-series plotting, and correlation analysis of seasonal climatic time series with tree-ring indices ("tree-ring response-functions").


Platforms: Matlab

Fast template matching algorithm SSDXCORR is implemented in this file with neat and efficient code.The details of SSDXCORR paper information is:F. Essannouni, R. Oulad Haj Thami, D. Aboutajdine and A. Salam, "Simple noncircular correlation method for exhaustive sum square difference matching",...


Platforms: Matlab

Model for Soft Independent Modeling of Class Analogy (SIMCA) simca_model=simca(x,classes) input: x (samples x descriptors) for calibration classes (samples x 1) classes numbers (must be >0) output: simca_model struct with: models (1 x No. classes) struct with: (one for each class) x (samples x...


Platforms: Matlab

Uses fft to calculate the circular cross correlation of two periodic signal vectors.This is equivalent to xc(k)=sum(u1.*circshift(u2,k)), but much faster (on the order of 500 times faster for a 1024 point signal).The package also includes two examples. One checks the calculation against the...


Platforms: Matlab

The function is "remix" of native matlab cov2corr() function, which produces correlation matrix with elements on its main diagonal slightly greater or less then 1. So it can't be used in various further computations, for example in squareform() function.The problem can be resolved simply by...


Platforms: Matlab

MVLOGNRAND MultiVariate Lognormal random numbers with correlation.This function will generate multivariate lognormal random numbers with correlation.Often one would simulation a lognormal distribution by first simulating a normal and then taking the exponent of it.If you provide the correlation...


Platforms: Matlab

GAUSSian REALIZation of a random variable with standard deviation sigma and correlation length lambda


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

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

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

Features:1. the program calculates the matter power spectrum, temperature spectrum, polarisation- and cross-correlation spectrum of a curved or flat Friedman-Robertson-Walker universe.2. it calculates the age of the universe, sigma8 and the age of the first start formation.3. massless neutrino's,...


Platforms: Matlab