Euclidean Algorithm Gcf

The code implements the algorithm as given in Chen et. al 1991.It takes max tolerance from the user.It selects Ms significant regressors from the total M regressors.Unfortunately, the error obtained after training the RBF network isn't as expected. Is there a mistake in my code???Please feel free...

General implementation of matlab version of Viterbi algorithm specifically written for gene structure finding problem in mind. However, it can be modified to suit the goal of a user.Input:Transition Probability MatrixEmission Probability MatrixInitial Probability MatrixStates Matrix (ie....

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

RLS is one of the great adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of RLS algorithm. The weights of the estimated system is nearly identical with the real one.A reference is used to write the algorithm.


Platforms: Matlab

this algorithm predicts the received signal strength for the mobile user to avoid fluctuation in received signal strength during localization of the mobile user(finding mobile user's location)


Platforms: Matlab

The Matlab convhulln is a gateway to the quickhull algorithm ( see www.qhull.org ). In my opinion, one weak point of this mex routine is that it processes all the points without performing any preliminary filtering.In many cases it would be faster if only the point that can be part of the...


Platforms: Matlab

The sound denoising algorithm is based on the popular spectral subtraction technique. Based on the spectrum of the vuvuzela sound, this denoising technique simply computes an antenuation map in the time-frequency domain. Then, the audio signal is restored by computing the inverse STFT. See [1-3]...


Platforms: Matlab

We propose a new global optimization algorithm based on a harmony search scheme, termed as harmony element string algorithm (abbreviated as HEA). The algorithm has five fundamental features: (1) The states of the system is represented by strings of elements {0,1,2,3,4} and hence the search of the...


Platforms: Matlab

Algorithm::TravelingSalesman::BitonicTour is a Perl module to solve the euclidean traveling-salesman problem with bitonic tours. SYNOPSIS use Algorithm::TravelingSalesman::BitonicTour; my $bt = Algorithm::TravelingSalesman::BitonicTour->new; $bt->add_point($x1,$y1); $bt->add_point($x2,$y2);...


Platforms: *nix

In this M-file, the implementation of ACO Algorithm is given with the support of reference papers listed. You can easily use it as following command to see the pictures of result and the playing iterative course.ACO('filename.tsp');filename.tsp is the problem file of the Symmetrical or...


Platforms: Matlab

The example is on developing an algorithm for detecting an object (green ball) in MATLAB. The demo highlights* image import (and video import)* image visualization* simple image processing* automatic report generation* GUI building* deploying stand alone applicationYou can find the recording of...


Platforms: Matlab

Given a set of points in N-dimensional Euclidean space, works out for each point the distance to its nearest neighbour (unless its nearest neighbour isn't very close). The distance metric is a method; subclass and override it for non-Euclidean space. SYNOPSIS use...


Platforms: *nix

This function contains the well known greedy algorithm for solving Set Cover problem (ChvdodAtal, 1979), with two small modifications:* In case of more than one possible choice at a certain step, the biggest set is chosen;* Once the solution is found, we check the selected sets to find a better...


Platforms: Matlab

A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with respect to its parameters and to initial population selection. Detailed logging of...


Platforms: Matlab

Munkres algorithm (also known as Hungarian algorithm) is an efficient algorithm to solve the assignment problem in polynomial-time. The algorithm has many applications in combinatorial optimization, for example in Traveling Salesman problem.There are a few submissions in the File Exchange for the...


Platforms: Matlab

Evolutionary optimization methods, inspired from natural processes, have shown good performance in solving complex optimization problems. For example, genetic algorithms (inspired from biological evolution of human and other species), ant colony optimization (based on ants effort to find optimal...


Platforms: Matlab

This is the algorithm involved on the use of the non-linear forecast of asset's prices based on the nearest neighbour method.The basic idea of the NN algorithm is that the time series copies it's own past behavior, and such fact can be used for forecasting purposes. On the zip file there are two...


Platforms: Matlab

The training input vectors and target vectors are read from files data1in and data1out respectively. The no of nodes in input and output layer is decided depending on the no. of rows in these datasets.The no of hidden layers, No of nodes in each hidden layer and the target error (put 0.1) is to...


Platforms: Matlab

Finds a (near) optimal solution to a variation of the M-TSP by setting up a GA to search for the shortest route (least distance needed for each salesman to travel from the start location to individual cities and back to the original starting place).Each salesman starts at the first point, and...


Platforms: Matlab

This function was developed for nonparametric estimation problems where the estimate must satisfy some shape constraint. Our standard example of this is using a kernel density estimator, with the constraint that the estimate can have only one mode.Let x be the observed data, and confun(x,...) be...


Platforms: Matlab