Algorithm

This simple simulation shows the implementation of FxLMS algorithm for a single channel feed-forward active noise control system. Here, the controller generates an "anti-noise" signal to result a destructive interference at the sensor position. The objective is to minimize the noise residue.The...

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...

The 2-column vector contains cities' coordinates. The algorithm generates the optimal path to visit all the cities exactly once, and return to the starting city.The algorithm has its limitations, and based on the cities' distribution on the map it may or may not give the optimal solution.It...


Platforms: Matlab

This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link (redundant) robotarm. The objective function for the proposed GA is to minimizing traveling time and space, while not exceeding a maximumpre-defined torque, without collision with any...


Platforms: Matlab

Maximum length sequence assuming distinctvalues = baseVal^powerVal-1 [ms]=mseqSearch(powerVal,baseVal) OUTPUT: ms: generated maximum length sequence, of length basisVal^powerVal-1 such that all values occur with equal frequency=basisVal except zero, which occurs basisVal-1 times INPUT: baseVal:...


Platforms: Matlab

As the power needed to transmit a certain number of bits ina subcarrier is independent of the numbers of bits allocated toother subcarriers, it turns out that a greedy approach is optimal.A greedy algorithm assigns bits to the subcarriers one bit at atime, and in each assignment, the subcarrier...


Platforms: Matlab

Conventional optimization algorithms using linear and non-linear programming sometimes have difficulty in finding the global optima or in case of multi-objective optimization, the pareto front. A lot of research has now been directed towards evolutionary algorithms (genetic algorithm, particle...


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

NLMS is one of the adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of NLMS algorithm. The weights of the estimated system is nearly identical with the real one. Also , adaptive learning rate has been applied.A reference is used to...


Platforms: Matlab

This simple simulation shows the implementation of FbLMS algorithm for a single channel feedback active noise control system. Here, the controller generates an "anti-noise" signal to result a destructive interference at the sensor position. The objective is to minimize the noise residue.FbLMS...


Platforms: Matlab

Decreasing the individual error and increasing the diversity among classifiers are two crucial factors for improving ensemble performances. Nevertheless, the d-deDUkappa-errord-deDt diagram shows that enhancing the diversity is at the expense of reducing individual accuracy. Hence, We proposed...


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

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

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

The harmony elements algorithm is proposed as a global searching technique of numerical computing which inspired by the old Chinese philosophy: Doctrine of Wu Xing, the five color theorem, and the Hoffman-Singleton graph. According to operation of overcoming and generating policy, each element in...


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

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

Template::Plugin::Digest::MD5 is a TT2 interface to the MD5 Algorithm. SYNOPSIS [% USE Digest.MD5 -%] [% checksum = content FILTER md5 -%] [% checksum = content FILTER md5_hex -%] [% checksum = content FILTER md5_base64 -%] [% checksum = content.md5 -%] [% checksum = content.md5_hex -%]...


Platforms: *nix

Template::Plugin::Digest::SHA1 is a TT2 interface to the SHA1 Algorithm. SYNOPSIS [% USE Digest.SHA1 -%] [% checksum = content FILTER sha1 -%] [% checksum = content FILTER sha1_hex -%] [% checksum = content FILTER sha1_base64 -%] [% checksum = content.sha1 -%] [% checksum =...


Platforms: *nix