3-D_FDTD_code

图像数据融合技术，加噪，去噪，聚酯类分析，并附有图片，绝对可用！(Image data fusion technology, noise, noise, polyester-type analysis, together with pictures, absolutely available!)

使用matlab实现输入信号的小波消噪和自适应滤波(The input signal using matlab Wavelet Denoising and Adaptive Filtering)

The Netlab toolbox is designed to provide the central tools necessary for the simulation of theoretically well founded neural network algorithms and related models for use in teaching, research and applications development. It contains many techniques which are not yet available in standard neural network simulation packages(The toolbox is designed to provide t he central tools necessary for the simulation o f theoretically well founded neural network al gorithms and related models for use in teaching , research and applications development. It c ontains many techniques which are not yet avail able in standard neural network simulation pac kages)

子块DCT变换编码/帧内预测编码DPCM，基于JPEG量化矩阵的量化与反量化(block DCT encoding/decoding predictive coding DPCM. JPEG quantization matrix based on the quantitative and anti- quantization)

实现在网页上利用matlab画图,实现在网页上利用matlab画图(On a web page using matlab drawing)

这是2009年huang在EMD基础上改进的算法EEMD的matlab代码！(the matlab code for EEMD！)

随意用MATLAB制作宋词，DIY...............(Song produced using MATLAB random, DIY ...............)

说明：  粒子群算法（PSO）整定pid控制参数，比传统Z-N整定方法要好，内附matlab程序与simulink模型(Particle swarm optimization (PSO) is better than traditional Z-N tuning method in tuning PID control parameters. It includes matlab program and Simulink model.)

卡尔曼滤波器估计机器人运动轨迹，使用激光和超声波进行观察。画出估计轨迹图和实际轨迹图。(Kalman filter estimated the robot trajectory, the use of laser and ultrasonic observation. Draw the estimated trajectories and actual trajectories.)

matlab最短路的贪心算法，用VC++实现，把ShortEst.dll复制到matlab工作文件夹运行（先要运行mex-setup，关联VC与MATLAB）调用方法如 a = [-1,2,3 2,-1,4 3,4,-1] ShorstEst(a) 即可(matlab most short-circuit the greedy algorithm, using VC++ to achieve, and copy it to ShortEst.dll working folder matlab run (first run mex-setup, associated VC with MATLAB) method call, such as a = [-1,2,3 2,-1,4 3,4,-1] ShorstEst (a) can)