Adaptive

WHURLE - Web-based Hierarchical Universal Reactive Learning Environment is an attempt to address the failings of current static, ill conceived learning environments with one that is pedagogically effective, adaptive to learner needs suiting all subjects Platforms: Windows, Mac, Linux

ZoIPer (formerly known as Idefisk) is a SIP and IAX/IAX2 software phone, compatible with the Asterisk/CallWeaver platform and adaptive to any IP telephony system. It offers a great variety of features to cover all aspects that VoIP provides. Its great simplicity with enhanced interface brings a... Platforms: Mac

libASSA is a UNIX/Linux Object-Oriented C networking (BSD sockets) library and application framework based on Adaptive Communication Patterns. libASSA is designed to improve productivity of writing network-oriented client/server applications. Platforms: *nix, C/C++, BSD

Includes six lessons and supporting MATLAB codes for STAP research. Platforms: Matlab

his simulation shown the system identification of an FIR and also the actual and estimated coefficients Platforms: Matlab

Features:- End-to-end 802.11a physical layer - All mandatory and optional data rates: 6, 9, 12, 18, 24, 36, 48, and 54 Mb/s- BPSK, QPSK, 16-QAM, 64-QAM modulations- Forward error correction coding (convolutional; code rates 1/2, 2/3, 3/4)- OFDM transmission: 52 subcarriers, 4 pilots, 64-pt FFTs,... Platforms: Matlab

SSRLSWAM is a combination of SSRLS and stochastic gradient method .It exploits the concept of forgetting factor d?T¬ that may be required due to model uncertainty, presence of unknown external disturbances, time-varying nature of observed signal or Non-stationary behaviour of observation noise. Platforms: Matlab

This project deals with an autonomous mobile robot guided by a vision system for sorting objects based on their color. The system has autonomous mode, assistive mode and manual mode. In the autonomous mode the robot and the vision system (an overhead mounted webcam) will work in unison to... Platforms: Matlab

Adaptive Resonance Theory (ART) Neural Network art1.zip contains: art1s.m - M-file for simulation of ART1 NN letno.m - M-file for generating input binary patterns (letters A-Z) for use with art1s.m noisy.m - M-file which introduces noise in the patterns. Used by letno.m letplot.m - M-file for... Platforms: Matlab

This demo helps you apply the key features of Simulink that are discussed in the "Introduction to Simulink" webinar:http://www.mathworks.com/company/events/we.../wbnr37271.htmlThe demo was specifically built using the features and concepts that are shown in the webinar; modeling a simple... Platforms: Matlab

The proportional, integral and differential terms of PID control are modified by simple nonlinear terms, depending on the error.That makes the control faster, more precise and more robust.This was tested and proven at the control lab of the Munich University of Applied Science. Platforms: Matlab

Implementation based on:"Finite-Element Discretization Of Static Hamilton-Jacobi Equations Based On A Local Variational Principle"by F. Bornemann and C. RaschComments:1. There is no restriction on the type of triangulation, i.e. it does not need to be acute. But the method will require more than... Platforms: Matlab

This software has been realized at the CNS Technology Lab at Boston University - http://techlab.bu.edu. The main author of this software is Chaitanya Sai ( http://techlab.bu.edu/members/sai/ ).CONFIGR (CONtour FIgure GRound) is a computational model based on principles of biological vision that... Platforms: Matlab

Demonstrates a way to implement the LSM algorithm.This is done on a example from the book of Astrom and Wittenmark, Adaptive Control, 2nd ed Platforms: Matlab

A stack-based sequential depth-first decoder that returns Maximum-Likelihood solutions to spherical LAST coded MIMO system-type problems, i.e., a lattice decoder with spherical boundary control. In such problems, the depth of the search tree is known but the number of children per node is not... Platforms: Matlab

MATLAB routines for the following Adaptive Resonance Theory Algorithms: Art1, Artmap, Fuzzy Art, Fuzzy Artmap. These routines are described and their usage explained in Appendix A of the book "Adaptive Resonance Theory Microchips", Kluwer Academic Publishers, ISBN 0-7923-8231-5. Chapter 1 of the... Platforms: Matlab

The implemented methods are:1) 'normal', 'standard': rgb2gray of Matlab; ITU-R Recommendation BT.601.2) 'avg', 'average': the output is the average of all three channels.3) 'minavg', 'min_avg', 'min_average', 'minimum_average': The minimum-average method introduced in [1] for document image... Platforms: Matlab

This function graphs the neuron's weight and the input vectors. You can label the neurons and inputs, change the marker size, and color code the map to see which inputs activate which neurons (a visual representation of the approximation of the input field of a neuron in the adaptive network). Platforms: Matlab

GODLIKE (Global Optimum Determination by Linking and Interchanging Kindred Evaluators) compiles various population-based global optimization schemes.It handles both single- and multi-objective optimization, simply by adding additional objective functions.It solves optimization problems using... Platforms: Matlab

It was designed to offer accessibility and adaptability.Administrators can install or update ATutor in minutes, develop custom templates to give ATutor a new look, and easily extend its functionality with feature modules.Educators can quickly assemble, package, and redistribute Web-based... Platforms: PHP