Autocorrelation Residuals

The Model Analyzer Tool is a compact and user-friendly Windows software specifically crafted for analyzing and evaluating modeling results. Tailored features make it a comprehensive solution for model analysis, providing informative insights. The tool's capabilities include the creation of...

This m-file finds and plots the autocorrelation and crosscorrelation function(ACF and CCF) of generated Gold codes of length 31.Crosscorrelations are three valued.

This M-File calculates the autocorrelation of a random process by the method of Rader (mentioned e. g. in Karl Kammeyer, "DIGITALE SIGNALVERARBEITUNG : Filterung und Spektralanalyse"):Y=akfrader(X,[M])X: stationary random process (Vektor)Y: autocorrelation (Vector of length M)M: number for...


Platforms: Matlab

This m-file finds the periodic ACF of all the m-sequences of length 31.In this program m-sequences of length 31 are generated and its periodic Autocorrelation function is plotted.


Platforms: Matlab

Computes ACF for a given series. Returns a vector of autocorrelations through lag p. Also produces bar graph of autocorrelations, with rejection region bands for testing (under white noise assumption) each autocorrelation = 0.Example: >> myacf = acf(y,12)Does not require any toolboxes.


Platforms: Matlab

Autocorrelation of a vector of symbolic variablesSYM_AUTOCORR Autocorrelation of a symbolic vector[V, VCORR] = SYM_AUTOCORR(SEQLEN), where SEQLEN>=1 is the length of thesequence whose autocorrelation is to be calculated. V is a symbolicvector of length SEQLEN that the function constructs and...


Platforms: Matlab

Pulsar software for forming timing residuals. Developed mainly by George Hobbs and Russell Edwards at the ATNF.


Platforms: *nix

Accurate estimates of the autocorrelation function or the power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the given data. It is assumed that the ARMASA and the...


Platforms: Matlab

A collection of MATLAB m-files to generate fault signatures or residuals using parity space approach.The generated residuals are insensitive to structured modeling uncertianities as well as to external disturbances making it easier to detect and isolate different faults in dynamic system.


Platforms: Matlab

fimorphv2 has been used to determine the two-dimensional morphology, specifically the length and width, of fluorescent platelet aggregates forming on a collagen coated surface under flow. The technique uses a fast, normalized two-dimensional autocorrelation procedure which is performed on a stack...


Platforms: Matlab

Compute estimate Peak Sidelobe Level and Integrated Sidelobe Level and Merit Factorofat at different complex communication signals of their Autocorrelation function and in case partially minimize bounds on the volume of ambiguity function.In base on this program is AMBIGUITY FUNCTION algorithm on...


Platforms: Matlab

The Multiple Regression Analysis and Forecasting template enables the confident identification of value drivers and forecasting business plan or scientific data. The multiple regression process utilizes commonly employed statistical measures to test the validity of the analysis and results are...


Platforms: Windows, Mac, Windows 8, Windows 7

NumXL is a Microsoft Excel add-in for econometrics and data analysis, designed to make finance modeling and time series easier to manage. You can perform all of your data work right in Excel. NumXL allows you to apply advanced econometric analysis quickly and easily via an intuitive user...


Platforms: Windows, Windows 8, Windows 7, Windows Server

Fast Algorithm estimating the number of sinusoids in a white Gaussian noise. This algorithm use a sub-space method based on chi-square statistics of eigen values of the Autocorrelation Matrix.Example :clear, close all hiddenN = 512;L_vrai = 4;fe = 2000;F = (0:(fe/2)/(N/2-1):(fe/2));snr = [-10 -10...


Platforms: Matlab

In one type of gene expression analysis, fluorescently tagged messenger RNA from different cells are hybridized to a microscopic array of thousands of complimentary DNA spots that correspond to different genes. Illuminated spots emit different color light, indicating which genes are expressed...


Platforms: Matlab

There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and powerspectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The...


Platforms: Matlab

Linear feedback shift registers (LFSR) are a simple method of generating sequences, including pseudorandom number sequences. The LFSR code provided is very unrestricted, allowing for any feedback polynomial, initial state or decimation factor. The code is written for a 32 bit LFSR, but minor...


Platforms: Matlab

Quantile Regression USAGE: [p,stats]=quantreg(x,y,tau[,order,nboot]); INPUTS: x,y: data that is fitted. (x and y should be columns) Note: that if x is a matrix with several columns then multiple linear regression is used and the "order" argument is not used. tau: quantile used in regression....


Platforms: Matlab

Unknown Input Observers(UIO) are used in model based FDI schemes to reduce or almost eliminate the effect of unknown disturbances on the plant/system.Further they can be used to generate residuls that are insensitive to unknown disturbances or noise, thus lower the false alarm rate.For isolation...


Platforms: Matlab

This function completes what I have started with the functions variogram and variogramfit. It is not intended to be a highly optimized code for performing kriging but may have educational value. Note that for using kriging, you should download the latest version of variogramfit.kriging uses...


Platforms: Matlab