ncmgui

Robot controll using Matlab

Handwriting recognition technology using matlab

this is matlab code for estimating the static linear system(system function is time variable) with Kalman Filter. this program is written by matlab 7.0. Here we want to estimate the below function: this is matlab code for estimating the static linear system(system function is time variable) with Recursive Least Squre and 2 solutions for better result. 1- using the Covariance Matrix Reseting in a specefic time. 2-using the RLS with Forget Factor this program is written by matlab 7.0. Here we want to estimate the below function: 1-u^2+(1+tansig(0.1*(t-375)))*u^3+u^5+3*u^7 finally,there are plots for showing results.

FixedLoad simulation in matlab simulink

Simulates the noise ambient

channels in lte. the uplink and downlink

说明：  logistic regression algorithm in matlab.

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

lanczos滤波程序,可按不同的频率对特定序列滤波(lanczos filtering process, according to a different frequency filtering for specific sequences)

包括主成分分析、因子分析、贝叶斯分析，BP神经网络用于函数拟合与模式识别，最小二乘回归分析算法。( Including principal component analysis, factor analysis, Bayesian analysis, BP neural network function fitting and pattern recognition, Least-squares regression analysis algorithm.)