RLS

该程序不使用matlab自带的程序，自主编写，进行简单更改可以实现多中功能，算法思想是滤波器的实现！(The program does not use matlab own procedures, self-writing, more than a simple change in function can be achieved, the algorithm idea is the realization of filters!)

Spread spectrum merupakan sistem dimana sinyal yang dikirimkan memiliki bandwidth yang jauh lebih lebar daripada bandwidth sinyal informasinya sendiri. Proses pelebaran bandwidth sinyal informasi ini dilakukan pada sisi pengirim dan disebut spreading. Sebaliknya, proses penyempitan kembali bandwidth sinyal informasi dilakukan di sisi penerima, dan disebut despreading. Pada gambar 1 berikut menunjukkan proses yang terjadi pada sistem spread spectrum.

Transient stability matlab toolbox

作为热泵机组四大件之一的冷凝器的计算模型(As one of the four big heat pump units of the calculation model of condenser)

这是个跨平台的英文学习书籍，希望更多的人使用wxwidget来用C++，大家可以一起使用与讨论(This is a cross-platform study of English books, I hope more people use wxwidget to use C++, we can all use and discussion)

matlab关于蚁群聚类的源代码，较好的实现了聚类效果(matlab source code for ant colony clustering, clustering achieve better results)

杜达的《模式分类》第二版的配套的Matlab源代码( Pattern Classification, the second edition of supporting Duda of Matlab source code)

matlab源代码，采用粒子群优化算法和支持向量回归机用于传感器建模，代码完整，欢迎下载。(matlab source code, using particle swarm optimization and support vector regression for sensor modeling, code integrity, welcome to download.)

基于matlab的关于遗传算法的一些重要的函数的m文件，供读者参考 (Based on some of the important matlab m file on genetic algorithm function for readers reference)

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.)