Estimators

Toolbox for MMSE estimators of DFT coefficients under the generalized Gamma densityThe toolbox can also be downloaded from: http://ict.ewi.tudelft.nl/~richard/The matlab files enclosed in this toolbox can be used to tabulate gain functionsfor clean speech complex-DFT, magnitude-DFT and magnitude... Platforms: Matlab

Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities.The toolbox can also be downloaded from: http://ict.ewi.tudelft.nl/~richard/log_spe...per_gaussV1.rarThe matlab files enclosed in this toolbox can be used to tabulate gain functions for log-spectral magnitude MMSE... Platforms: Matlab

Here is a simulation based proof highlighting the superiority of the MMSE[Min Mean Sq Error] channel estimator over the LS[Least Sq] estimator.The two parameters of evaluation turn out to be, quite logically, the SER[Symbol Error Rate] and the Mean Square Error.The channel is assumed to be... Platforms: Matlab

Which estimator is best for your job? Helps Find best Spectral Estimation Method for a Power Spectral Density plot. A menu of 10+ spectral estimators from Steve Kay's textbook 'Modern Spectral Estimation' 1988 is available to choose from. The results differ dramatically from one estimator to... Platforms: Windows, Windows 8, Windows 7, Windows Server

SpectrumSolvers will offer users the possibility to calculate a Power Spectral Density (PSD) estimate based on 1 of several Steve Kay's Estimators. SpectrumSolvers has a menu of Spectral estimators from Steve Kay's textbook, titled "Modern Spectral Estimation", 1988. The results differ... Platforms: Windows

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 algorithm... Platforms: Matlab

This is a cross-platform software package for econometric analysis, written in the C programming language. It is is free, open-source software. You may redistribute it and/or modify it under the terms of the GNU General Public License (GPL) as published by the Free Software Foundation. Features... Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

Electrc 2008 is a professional suite of tools designed to perform common electrical design calculations in compliance with the 2008 National Electrical Code. Electrc 2008 is designed for electrical contractors, engineers, inspectors, estimators, and electrical maintenance personnel. It performs... Platforms: Windows

Software features the most used items. This software will allow you to add a Room, Phase, or/and Condition to every single material. If the material is updated within the main database, and an old project is opened, you will be asked if you would like to update the items that have been changed.... Platforms: Mac

jMetal is designed as an object-oriented Java-based framework that is specially aimed at the development, experimentation, and study of metaheuristics for solving multi-objective optimization problems. Metal stands for Metaheuristic Algorithms in Java, jMetal provides a rich set of classes... Platforms: Windows

Is a cross-platform software package for econometric analysis, written in the C programming language. It is free, open-source software. You may redistribute it and/or modify it under the terms of the GNU General Public License (GPL) as published by the Free Software Foundation. Features Easy... Platforms: Windows

These routines support the book "Risk and Asset Allocation" Springer Finance, by A. Meucci, see http://www.symmys.comThe routines include many new features:- more uni-, multi- and matrix-variate distributions- more copulas- more graphical representations- more analyses in terms of the... Platforms: Matlab

dysii is a C++ library provides a collection of classes useful for machine learning applications. Features are added to the library as needed, so that it does lack some completeness. What is included, however, is well documented and tested, and may be considered fairly sound for research... Platforms: *nix

Statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation of statistical models. Main Features regression: Generalized least squares (including weighted least squares and least squares with autoregressive... Platforms: *nix

PyMML is a Python package for statistical analysis and automatic classification of data. It implements a selection of the MML estimators described by Professor Chris Wallace in the book "Statistical and Inductive Inference by Minimum Message Length", including estimators for hidden factor... Platforms: *nix