Algorithms Of Comparison

The aim of the project is to provide open source collection of algorithms in the field of spectroscopy: data handling and processing, modeling and artificial intelligence tools.

Algorithms to estimate the number of k-colorings of a low-degree graph using samplings from a markov chain are provided.

GrALoG is a tool for editing and visualising graph-like-structures and the results of algorithms running on them. Through it's plugins GrALoG is hugely extendable, i.e. plugin-developers can define their own graph-like structures and algorithms.


Platforms: Windows, Mac, Linux

A library of algorithms for general purpose use to alter representations of 3D meshes. Currently tested in the GNU/Linux and Win32 environments. C++ STL, OpenGL, GLUT, VRML97.


Platforms: Windows, Mac, Linux

The NSketch library provides implementations of most common sketch-based algorithms (histograms, quantile, frequent items, bloom filter ...). The library is written in C# for .Net.


Platforms: Windows, Mac, Linux

A collection of plug-in algorithms for the WEKA machine learning workbench including artificial neural network (ANN) algorithms, and artificial immune system (AIS) algorithms.


Platforms: Windows, Mac, Linux

This script presents two approaches to generate all combination of elements from a number of sets. It compares "classic" statically coded algorithms to a pythonic on-the-fly generation of specific algorithm code.


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

The Genetic Algorithm Utility Library (or, GAUL for short) is a flexible programming library designed to aid in the development of applications that use genetic, or evolutionary, algorithms. It provides data structures and functions for handling and manipulation of the data required for serial...


Platforms: C and C plus plus

In Radars, range resolution and long range of operation are the two important aspects. Long range operation means the maximum distance over which radar can detect the targets. The radar transmit modulated pulses to take the advantages of better processing gain and resolution of these waveforms...


Platforms: Matlab

This script demonstrates the influence of range reduction algorithm at low bitrate encoding using JPEG encode. The range [0-255] of pixel values is mapped to [64-235] in this script using a look-up-table. Subsequently, the file is compressed to achieve the same bit-rate (file size) as that of the...


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

Three different nonlinear control algorithms are used to control a three degree of freedom PUMA560 robot. These algorithms are:Computed Torque Control, Sliding Mode and Backstepping Control.The robot dynamics are taken from:Brian Armstrong, Oussama Khatib & Joel Burdick , d-deDUThe Explicit...


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

Files used in the Webinar "Developing a Financial Market Index Tracker using MATLAB OOP and Genetic Algorithms"The zip file contains the data and files used to develop an application to track a market index using Genetic algorithm. The initial algorithm is then wrapped up in MATLAB OOP to create...


Platforms: Matlab

We attempt to reproduce and efficiently implement in MATLAB publicly available methods of Affymetrix MAS 5 and GCOS 1.2 software that perform single-array and comparison analysis for Affymetrix data given by CEL and CDF files and create corresponding CHP data structures:1. CHP data structure is...


Platforms: Matlab

isParetoSetMember returns the logical Pareto membership of a set of N points in K dimensions. It takes as input a N-by-N matrix and return a N-binary-array, denoting for each of the N points, whether it is Pareto (1) o not (0).The concept of Pareto dominance considered herein is the standard...


Platforms: Matlab

I was trying out modifications of the LMS algorithm so that it will converge faster and the mean square error will also be smaller. Getting to one of the drawbacks of LMS, that it has only one controllable parameter "mu", the selection of whose value will be the most critical from design point of...


Platforms: Matlab

This function implements a method of using genetic algorithms to optimise the form of a polynomial, i.e. reducing the number of terms required in comparison to a least-squares fit using all possible terms, as described in the following paper:Clegg, J. et al, "The use of a genetic algorithm to...


Platforms: Matlab

This example shows how to load a C DLL into Matlab and make a call to functions it contains. In addition, a C-like M file implementation of the same functionality is included for comparison. Furthermore, a vectorized M file has been added to try to match the performance of the library...


Platforms: Matlab

PetraLite is a full bodied single-user Point of Sale inventory management system with automated accounting; client invoicing and tracking; client returns; purchase orders; CASH REGISTER; user-generated reports which can give you the status of your business at any given time; and much more....


Platforms: Windows