Estimation Theory

Understanding song form is essential to songwriting. Learn all how to enhance the power of your songs with macProVideo's music theory expert, Gregg Fine... Think about it: You can't design a successful building without understanding architectur

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

This script computes the strategy oddments for two-player zero-sum games of perfect information. It uses a robust, iterative approximation that can handle dominance, non-square payoff matrices, and games without a saddle-point.


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

Gambit is a library of game theory software and tools for the construction and analysis of finite extensive and strategic games. Gambit provides: - A graphical user interface, based upon the wxWidgets library, providing a common interface with native look-and-feel across platforms. - A Python...


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

FPHDB is a printshop ordering and estimation package that runs on a GNU/Linux server with Apache, PHP and MySQL.FPHDB is a set of PHP scripts that will facilitate all the ordering, inventory, and estimation needs of a printing business. It also uses JavaScript on frontend and a MySQL database on...


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

This is a small project aiming to prove a theory that grids can be solved using only the "possible value" method, whereby the numbers are filled in according the condition that that position has only one possible value, in filling this in, possible values matching this number on the same x and y...


Platforms: C and C plus plus

The MUSIC algorithm, proposed by Schmidt, first estimates a basis for the noise subspace and then determines the peaks the associated angles provide the DOA estimates.The MATLAB code for the MUSIC algorithm is sampled by creating an array of steering vectors corresponding to the angles in the...


Platforms: Matlab

According to shannon theory it is possible to reconstruct a band limited signal from its Fourier components provided it is sampled sufficiently...just to demonstrate this, posting a small example based on that


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

The function is based on the mathematical treatment of rotating rotors in "Principles of Helicopter Aerodynamics" by Dr. J.Gordon LeishmanThe numerical method does this by using Blade Element Momentum Theory (BEMT) to calculate the inflow along the length of the blade, then using that inflow and...


Platforms: Matlab

This is a set of functions written to teach the stream programming base theory. I think that this can be useful to the programmers that don't know what the stream programing is and manage signals or (infinite) sequences of entities.


Platforms: Matlab

In many practical signal processing problems, the objective is to estimate from measurements a set of constant parameters upon which the received signals depend.For example, high-resolution direction-of-arrival (DOA) estimation is important in many sensor systems such as radar, sonar, electronic...


Platforms: Matlab

Exercises and case studies for a rigorous approach to risk- and portfolio-management. This booklet stems from the review sessions of the six-day ARPM bootcamp.Contents include:Advanced multivariate statistics; copula-marginal decompositionAnnualization/projection (FFT, cumulants,...


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

The Kalman filter is actually a feedback approach to minimize the estimation error in terms of sum of square. This approach can be applied to general nonlinear optimization. This function shows a way using the extended Kalman filter to solve some unconstrained nonlinear optimization problems. Two...


Platforms: Matlab

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)...


Platforms: Matlab

ClebschGordan(j1,j2,j,m1,m2,m) is the Clebsch-Gordan coefficient . This is used in the theory of angular momentum in quantum mechanics.


Platforms: Matlab

Similar to using the extended Kalman filter, Neural Networks can also be trained through parameter estimation using the unscented Kalman filter. This file provides a function for this purpose. It also includes an example to show how to use this function. It requires the unscented Kalman filter,...


Platforms: Matlab

Written for undergraduate and graduate-level courses in control theory, this introductory text provides comprehensive coverage of classical and state-space approaches to control system design.


Platforms: Matlab

A Matlab library for Diffusion Weighted MRI (DW-MRI) Processing, Diffusion Tensor (DTI) Estimation, Diffusion Kurtosis (DKI) Estimation, Higher-order Diffusion Tensor Analysis, Tensor ODF estimation, Visualization and more.


Platforms: Matlab