seasat

tthe leach code in matlab for wireless sensor network

说明：  包含Matlab十五个常用的小例子哦，菜鸟新手练手的好东东(Matlab contains a small example of 15 commonly used Oh, rookie novice practicing good hand Dongdong)

后拉马克memetic算法，将几种适应性memetic进行性能比较(Houlamake memetic algorithm, the performance comparison of several adaptive memetic)

matlab 6.1 sample file

采用K近邻算法预测时间序列的源代码，希望对大家能有所帮助。(Predict time series using kNN.)

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)

QPSK 仿真程序，非常不错啊，从输入到输出，一个完整得仿真程序(QPSK simulation)

matlab source code from mathworks

将格式为rgb的数字图像转换成格式为hsi的数字图像，方便简单，操作容易(change rgb image into hsi image)

普林斯顿开发的快速球面调和变换算法，我把它移植到windows下，并做成链接库，可以直接调用(Princeton rapid development of the spherical harmonic transform algorithm, I transpose it to the windows, and causing link library, and can directly call)