# Progressive mean and standard deviation. in matlab

The following Matlab project contains the source code and Matlab examples used for progressive mean and standard deviation.. This function calculates, in a "progressive" way, the mean and the standard deviation for a given vector (or matrix): it is useful in order to check stationarity of a random process looking at this two estimators.

# Anova and variance components for genetic data in matlab

The following Matlab project contains the source code and Matlab examples used for anova and variance components for genetic data. These files are an adaptation of the ANOVA variance component estimators to be used in the analysis of genetic data, specifically Cockerham's 1969 Theta.

# Toolbox for log spectral magnitude mmse estimators under super gaussian densities in matlab

The following Matlab project contains the source code and Matlab examples used for toolbox for log spectral magnitude mmse estimators under super gaussian densities. Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities.

# Wavelet based ms coherence estimator in matlab

The following Matlab project contains the source code and Matlab examples used for wavelet based ms coherence estimator. This function estimates and plots a wavelet-based magnitude-squared (MS) coherence between two time series and both sampled at the same sampling rate.

# Probability density function (pdf) estimator (v3.2) in matlab

The following Matlab project contains the source code and Matlab examples used for probability density function (pdf) estimator (v3.2). This function provides an estimate of probability density function for a given random data (an 1-d vector).

# Theil–sen estimator in matlab

The following Matlab project contains the source code and Matlab examples used for theil–sen estimator. the Theil–Sen estimator, also known as Sen's slope estimator,slope selection,the single median method, or the Kendall robust line-fit method, is a method for robust linear regression that chooses the median slope among all lines through pairs of two-dimensional sample points.

# Plot the kaplan-meier estimation of the survival function in matlab

The following Matlab project contains the source code and Matlab examples used for plot the kaplan-meier estimation of the survival function . Survival times are data that measure follow-up time from a defined starting point to the occurrence of a given event, for example the time from the beginning to the end of a remission period or the time from the diagnosis of a disease to death.

# Kaplan meier for right and or left and or interval censored data in matlab

The following Matlab project contains the source code and Matlab examples used for kaplan meier for right and or left and or interval censored data. % INPUT ARGUMENTS: % times: An n by 2 matrix which refer to the time data.

# Estimation in non linear state space models. in matlab

The following Matlab project contains the source code and Matlab examples used for estimation in non linear state space models.. The Robust Non-Linear Estimator (RNLE) is a robust estimator for non-linear state-space models with state-dependent noise.

# Ols with newey west and hansen hodrick se in matlab

The following Matlab project contains the source code and Matlab examples used for ols with newey west and hansen hodrick se. % PURPOSE: computes OLS and reports Robust SE, and Newey-West and Hansen-Hodrick adjusted heteroscedastic-serial consistent standard errors.

# Newey west standard errors in matlab

The following Matlab project contains the source code and Matlab examples used for newey west standard errors. Computes Newey-West adjusted heteroscedastic-serial consistent standard errors. Allows for a selection of lag lenght or (by default) selects an optimal lag length based on the Newey-West(1994) plug-in procedure.

# Window utilities in matlab

The following Matlab project contains the source code and Matlab examples used for window utilities. This zip file contains functions related to apodization and symmetric window generation: 1) atomwin - Window based on atomic functions 2) barthewin - Barcilon-Temes window 3) conneswin - Connes window 4) coshwin - Hyperbolic cosine window 5) coswin - Minimum sidelobe cosine window 6) dchebwin - Dolph-Chebyshev window 7) denkwin - Denk window 8) dslepwin - Discrete Prolate Spheroidal Sequences (DPSS) window

# Channel estimation using ls and mmse estimators in matlab

The following Matlab project contains the source code and Matlab examples used for channel estimation using ls and mmse estimators. I do not know why nobody submitted a simulation for the channel estimation using the MMSE. However, I simulated the OFDM system with channel estimation comparison between the LS and the MMSE estimators.

# Ls & mmse channel estimators for ofdm in matlab

The following Matlab project contains the source code and Matlab examples used for ls & mmse channel estimators for ofdm. Here is a simulation based proof highlighting the superiority of the MMSE[Min Mean Sq Error] channel estimator over the LS[Least Sq] estimator.

# Extreme value distribution in matlab

The following Matlab project contains the source code and Matlab examples used for extreme value distribution. Two files: They find the Maximum Likelihood Estimators for the parameters of the Gumbel distribution for the minimum and the Gumbel distribution for the maximum.

# Arfima(p,d,q) estimator in matlab

The following Matlab project contains the source code and Matlab examples used for arfima(p,d,q) estimator. ARFIMA(p,d,q) maximum likelihood estimators: - Whittle estimator - Exact maximum likelihood estimator -and some other,possibly useful functions,forecasting included.

# Maximum likelihood estimator for spin echo time decay constant. in matlab

The following Matlab project contains the source code and Matlab examples used for maximum likelihood estimator for spin echo time decay constant. . This function computes the maximum likelihood estimator for the spin echo time decay constant, with option for either known or unknown echo waveform.

# % an array signal parameter maximum likelihood estimator problem in matlab

The following Matlab project contains the source code and Matlab examples used for % an array signal parameter maximum likelihood estimator problem . % ******************************************** % An array signal parameter maximum likelihood estimator problem % % Exercise Solution and research topic on course EEL6537 % 22th Feb,2012 Sun Lei bitsunlei@126.

# Lmmse filter for rician mri data in matlab

The following Matlab project contains the source code and Matlab examples used for lmmse filter for rician mri data. The linear minimum mean square error (LMMSE) estimator estimates the signal out of a noisy MR adquisition.

# Number of sinusoids estimator in matlab

The following Matlab project contains the source code and Matlab examples used for number of sinusoids estimator. Fast Algorithm estimating the number of sinusoids in a white Gaussian noise.

# Toolbox for mmse estimators of dft coefficients under the generalized gamma density in matlab

The following Matlab project contains the source code and Matlab examples used for toolbox for mmse estimators of dft coefficients under the generalized gamma density. Toolbox for MMSE estimators of DFT coefficients under the generalized Gamma density The toolbox can also be downloaded from: http://ict.