chap1_8s

Digital Image processing useful matlab toolbox :)

matlab description to calculate matrix add sub etc.

说明：  电力有源滤波器仿真电路图子电路图之三，算法是经典的dq0算法(APF circuit simulation circuit-ter, the algorithm is the classic dq0 Algorithm)

这里给出了双向中继系统基于AF协议下的relay beamforming 优化算法，仿真重现了一篇transactions上的文章(Relay beamforming simulation of two-way relay communication under AF protocol, the simulation is for a paper on transactions, it put forward three kinds of optimization algorithm.)

In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative.(In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman filter has been the subject of extens ive research and application. particularly in the area of autonomous or assis ted navigation. A very "friendly" introductio n to the general idea of the Kalman filter can be f ound in Chapter 1 of [Maybeck79] while a more complete introductory discussion can be found in [Sorenson70] which also contains some interesting historic al narrative.)

It is an ant based clustering algo

UAV models remonte control software for paramilitary unnamed wars.

用MATLAB实现RandWPSO、LinWPSO、LnCPSO算法，程序没错误，可以直接运行，非常适合刚学PSO者(Implementation of RandWPSO, LinWPSO, LnCPSO algorithm with MATLAB, the program no error, can be directly run, very suitable for just learning PSO )

盲信号分离的三篇经典文章。Part One，首次提出了一种基于神经网络的学习算法（H-J算法），成功地实现了两个语音信号的分离，从而开启了一个新的领域。虽然他们的学习算法是启发式的并且没有明确指出需利用观测信号的高阶（高于二阶）统计信息，但是其迭代计算公式已具备后来ICA在线算法的雏形。 Part Two和Part Three：分别是从两个不同的角度来证明HJ算法的稳定性（主要是对源信号个数为2的情况给的证明），可惜的是，给出的稳定性条件都不是充要条件。(The three classic papers of blind signal separation(BSS).)

验证企业信息中的组织机构代码的合法性，错误会提示并定位到出错的地方，可以在离开焦点时验证(organize code check)