利用遗传算法解决电力系统最优潮流问题

kalman滤波全程序的范例，可以进行一维和二维计算(kalman filter example of the whole procedure can be carried out one-dimensional and two-dimensional calculation)

DC2DC BUCK CONVERTER

是美国统计学家萨尔斯伯格以“女士品茶问题”为切入点所著的一部关于统计学历史与变革的书，以一种全新的视角带领读者进入统计学的世界，体会统计学带给哲学观、宇宙观的变革(Salthe Berg statistician USA to Lady Tasting Tea problem as the starting point of a statistical history and change of the book, with a new view and lead the reader into the world of experience of statistics, statistics to philosophy, cosmic view change)

一个升余弦滤波器的例子，应用在bpsk系统，思路清晰(A rose cosine filter examples, used in BPSK system, clear thinking )

基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。(Prediction of future availability times of different channels based on history information helps a cognitive radio (CR) to select the best channels for control and data transmission. Different prediction rules apply to periodic and stochastic ON-OFF patterns. A CR can learn the patterns in different channels over time. We propose a simple classification and learning method to detect the pattern type and to gather the needed information for intelligent channel selection. Matlab simulations show that the proposed method outperforms opportunistic random channel selection both with stochastic and periodic channel patterns. The amount of channel switches needed over time reduces up to 55 , which reduces also the delay and increases the throughput.)

张正友标定matlab的m文件，包含测试文件(Zhang Zhengyou calibration matlab m file that contains the test file)

用c#编写了一套FIR窗口滤波器，其中数据段的提取来自于matlab的混合编程(Written in c# a FIR filter window, including data extracted from the mixture of matlab programming)

在matlab环境下应用支持向量机做回归的使用实例(In the matlab environment support vector machine regression using examples do)

matlab的libsvm工具箱，直接在matlab里作为函数调用(the libsvm toolbox matlab directly in matlab as a function call)

自适应信号处理 LMS SER RLS三种搜索算法 matlab实现 及比较(adaptive signal processing LMS SER RLS search algorithm matlab achievement )