C_AntClusterKnown

MRTD 2D code in matlab

RTW方面的文献,对vc和matlab混合编程有很好的借鉴意义(RTW literature)

最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。(Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.)

matlab中比较经典的微分方程求解.其中涉及到一维微分方程与2维平面PDE模型.希望有兴趣的可以看看.(matlab more classic solving differential equations which relate to the two-dimensional plane PDE model one-dimensional differential equations. that are interested can look at.)

matlab解线性方程组的源代码 function x=nagauss2(a,b,flag) ％ 用途：选列主元Gauss消去法解线性方程组ax=b ％ 格式：x=nagauss2(a,b,flag) a为系数矩阵，b为右端列向量，flag若为0，则显示中间过程 (Matlab solution of linear equations source code function nagauss2 x = (a , b, flag)% purposes : a selection PCA Gauss elimination method for solving linear equations ax = b% Format : nagauss2 x = (a, b, flag) for a coefficient matrix, b subguadratic column vector, if the flag is 0, then showed intermediate process)

说明：  matlab code for bfoa

说明：  pso基本算法的代码，能满足最基本的需要，适合初学人员，便于理解(pso )

用matlab进行多聚焦图像融合，包括图像直接融合，傅里叶变换融合，和小波融合的源代码( multi-focus image fusion by matlab, including direct images fusion, Fourier transform integration, and wavelet fusion )

脑电波形图绘制程序，包含调整坐标轴位置、范围等内容的代码示例(EEG Waveform Mapping Program)

主要是串口数据的收发！ 写了一个GUI界面，包括一些常用的控件，文件的读写，出错的简单处理，弹出对话框等 可能还有一些错误，欢迎拍砖！ 调试在matlab7.0.4上通过！(Mainly to send and receive serial data! Wrote a GUI interface, including some commonly used control, file read and write, a simple error handling, pop-up dialog boxes, etc. There may be some mistakes, please Paizhuan! Debugging in matlab7.0.4 adopted!)