invertA.m

Matlab code for Strapdown navigation system alignment(Matlab code for Strapdown navigation system alignment.)

matlab/simumatlab/simulinkSfunctionC文件例子源码linkSfunmatlab/simulinkSfunctionC文件例子源码ctionC文件例子源码(matlab/simumatlab/simulinkSfunctionC examples of source documents linkSfunmatlab/simulinkSfunctionC paper documents examples of ctionC example source code)

MIMO Systems for Rayleigh and Ricean Fading channels. Performance Analysis underdifferent channel conditions

Rayleigh maximum likelihood filter

audio signal processing and recognition,是一本台湾张智星教授所写的关于语音处理的书籍，网上有另一个版本书名叫《audio processing》，和这个有点区别，两个结合看效果会更好！(audio signal processing and recognition, is a book written by Professor Zhang Zhixing Taiwan books on speech processing, there is another version of the online book called "audio processing", and this little difference, the two combined to see better results!)

说明：  pso-bp神经网络预测程序，内包含数据。(Prediction and analysis of BP neural network based on particle swarm optimization)

说明：  Image Processing... This program reads an image and produces its grey scale version.

通过PID调节器实现炉温控制,原理图+matlab源码+matlab仿真(PID matlab)

The firefly algorithm (FA) is a metaheuristic algorithm, inspired by the flashing behaviour of fireflies. The primary purpose for a firefly s flash is to act as a signal system to attract other fireflies. Xin-She Yang formulated this firefly algorithm by assuming:[1] All fireflies are unisexual, so that one firefly will be attracted to all other fireflies Attractiveness is proportional to their brightness, and for any two fireflies, the less bright one will be attracted by (and thus move to) the brighter one however, the brightness can decrease as their distance increases If there are no fireflies brighter than a given firefly, it will move randomly. The brightness should be associated with the objective function. Firefly algorithm is a nature-inspired metaheuristic optimization algorithm.

本程序利用matlab实现2维栅格地图建模，调试成功，有兴趣的可以下载(This procedure using matlab to achieve a two-dimensional grid map modeling, debugging success, interested can download)