Estimation

This toolbox was designed to simulate and fit linear state space models. The main literature I used for this particular package is Kim and Nelson (1999). A state space model (without non stochastic coefficients) is given by:y(t)=beta(t)*x(t)'+e(t)...

OracleToSqlite - Import Oracle to SQLite. OracleToSqlite is a data conversion tool that helps database user to convert Oracle data to SQLite database. The main features are: 1. Easy visual configuration -- just click on the mouse. 2. Displays progress through time estimation. 3. Converts...

The CMVE toolbox estimates missing values by using correlation structure of the data. The software can be used to impute missing values in any correlated data especally microarray gene expression data. The imputation performance of the software has proven significant affect on gene regulatory...


Platforms: Matlab

ARMAX-GARCH Toolbox (Estimation, Forecasting, Simulation and Value-at-Risk Applications)The ARMAX-GARCH Toolbox estimates, forecasts and simulates a large variety of ARMA and GARCH models with different distributions and for any order of AR(n), MA(m), ARCH (p) and GARCH (q) effects as well as it...


Platforms: Matlab

It can be used to update processes like waitbars, download windows, dynamic ques, etc. Key features "Remaining Time Estimation": Returned formats: - dd hh - hh mm - mm ss Requirements: - MATLAB 7.5 or higher


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

Oree - Optimum Real-time Estimation of Events of Interaction: real-time reconstruction of photon interaction events in Gamma Cameras. Optionally making use of a CUDA enable GPU, Oree achieves reconstruction of over 1M events/sec.


Platforms: Windows, Mac, Linux

CHAPTER 1: FOURIER ANALYSIS1.1 CONTINUOUS-TIME FOURIER SERIES (CTFS)1.2 PROPERTIES OF CTFS 1.2.1 Time-Shifting Property 1.2.2 Frequency-Shifting Property 1.2.3 Modulation Property1.3 CONTINUOUS-TIME FOURIER TRANSFORM (CTFT)1.4 PROPERTIES OF CTFT 1.4.1 Linearity 1.4.2 Conjugate Symmetry 1.4.3 Real...


Platforms: Matlab

This is a scaled down easy version of the state estimation module that is run in energy control centres. It has the following features:(1) option to enter the weights for your measures(2) an implementation of the weighted least square estimationfeatures missing:(1) bad data recognition


Platforms: Matlab

This submission includes functions and scripts for the estimation and simulation of ACD (autoregressive conditional duration) models. The zip file includes: - Scripts and functions for Estimation of an ACD(q,p) model with exponential or weibull distribution- Scripts and functions for Simulation...


Platforms: Matlab

Auto Road is a road estimation software which automates the drawing and calculations of roads constructions works and is widely used for roads construction planning works. As a Civil Engineer / construction company you know the key to profitability is having accurate estimates. Everything from...


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

A set of advanced tools for spectral estimation, decomposing of time series into trend, oscillatory components and noise with sophisticated statistical tests, cross-spectrum and coherence estimation, data compression, as well as reconstruction and prediction. KSpectra Toolkit takes full advantage...


Platforms: Mac

SPINspiral is a parameter-estimation code for the analysis of gravitational-wave signals detected by LIGO/Virgo.


Platforms: Mac, BSD, Linux

The comb pilot aided channel estimation in ofdm modulation is considered. The power of pilot subchannels is under the control.The data experience frequency selective channel then the AWGN noise is added to make the situation worse. The bit error rate is ploted versus SNR.


Platforms: Matlab

Normalized mutual entropy provides a measure of the diversity of a two dimensional matrix. It takes mutual entropy and normalizes for the marginal entropy of the variable of interest (column variable in the code). See screen shot or embedded references for formula.This code is used for the...


Platforms: Matlab

This model was build for data that tends to fluctuate between different regimes but can be applied quite generally.The data I used in this example is assumed to come from three regimes: 1-full generation, 2-partial generation, 3-little to no generation. The%model works as follows:1) I split the...


Platforms: Matlab

A classifier is a machine learning tool that will take data items and place them into one of k classes. A probabilistic classifier, like this one, can also give a probability distribution over the class assignment for a data item. This software is a Java implementation of a maximum entropy...


Platforms: Mac

2 dimenstion Kernel density Estimation with Sheater Jones bandwidth for each variable.Also the Sheater Jones bandwidth selectionmethod will work for the univariate.


Platforms: Matlab

Matlab source code for blind reverberation time estimation from reverberant speech signalsThe algorithm allows to estimate the reverberation time (RT or T60) within a range of 0.2s to 1.2s and assumes that source and receiver are not within the critical distance. A denoising is not performed by...


Platforms: Matlab

Non Convex Optimization Algorithms for Group SparsitySolves a dummy OFDM sparse channel estimation problemReweighted Lm,p algorithm for noiseless case min||x||_m,p s.t. y = AxReweighted Lm,p algorithm for noisy case min||x||_2,p s.t. ||y - Ax||_qSmoothed L2,0 algorithm solves a smooth version...


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