liangleiche

AR1000 FM module datasheet and application notes

MALAB GUI 学习资料， 总共10章 对初学者很有帮助。。。。。(MALAB GUI )

image processing image transforms such as radon fouriye

Feature selection by Genetic algorithm for classification

基于卡尔曼滤波器的交通流量分析系统，输入方式采用.txt文件形式(Kalman filter based on the traffic analysis system)

Transient stability analysis of distribiuted system with DG

并联机器人运动学计算，包括各个支腿的位移变化，速度变化，加速度变化曲线(Kinematics calculations, including the displacement of each leg, speed change, acceleration curve)

基于暗原色去雾的图像代码，用了软抠图和另两种改进算法，附加txt说明文档(Based on dark colors to fog image code, with a soft matting, and another two improved algorithms, additional documentation txt)

Programing the Finite Element Method with Matlab

RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. All functions have been thoroughly tested. After downloading the separate files or the zipped file, make sure that they are stored or extracted in the directory /rnnsimv2 Below an overview of the files contained in this directory along with a brief description of what they do. The on-line help facility explains how to call the different functions. You simply write help <function-name> in the MATLAB command window. Along with the m-files in this directory you will find a manual for the simulator in PDF format (rnnsimv2.pdf). Start by printing this out and read the release notes. Two simple demonstration programs are given to illustrate how most of the functions work.