m11438

基于改进粒子群算法的BP神经网络及其应用 里面很好的介绍了粒子群的优化效果(Particle swarm optimization based on improved BP neural network and its application within a very good introduction to the effects of particle swarm optimization)

一个较好的模拟退火工具箱,主要解决优化问题,(a better toolbox simulated annealing, mainly to solve the optimization problem.)

MATLAB中几种功率谱估计函数的比较分析与选择(MATLAB power spectrum estimation function of several comparative analysis and selection)

使用matlab编写的crc循环码编译码仿真程序(Crc prepared using matlab simulation program coding and decoding of cyclic codes)

本函数计算一个大区域上的信号干扰分布情况。(This function calculates a large area on the distribution of signal interference.)

基于matlab和LMS/NLMS/SMI方法的自适应均衡(Based on matlab and LMS/NLMS/SMI adaptive equalization method)

整车模型，其中包括电动机，发动机，变速器，差速器，驾驶员模型等等(CAR MODEL including motor,engine,trans,driver etc)

To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 ％ + time varying measurement noise ％ using a multi-layer perceptron (MLP) and both the EKF and ％ the hybrid importance-samping resampling (SIR) algorithm. (To estimate the input-output mapping with inputs x and outputs y generated by the following nonlinear, nonstationary state space model: x (t+ 1) = 0.5x (t)+ [25x (t )]/[( 1+ x (t)) ^ (2)]+ 8cos (1.2t)+ process noise y (t) = x (t) ^ (2)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm.)

some image filters demo

Convolutional code performance in AWGN Channel