mrac

code for sattelite calculaton

纵横向拉开档次法的MATLAB实现，对于动态评价方法的编程实现(Vertical and horizontal method of MATLAB implementation, evaluation method for dynamic programming)

同步在数字接收机的解调中非常重要，本程序详细描述了用平方定时算法描述的符号同步算法，(Time square Algorithm Symbol synchronization )

To call R from within Matlab, you will need to have R compiled as a shared library. This needs to be done when compiling R from source (or via one of the binary distributions that have support for this.) Download the R source from cran.r-project.org.

拉普拉斯金字塔程序，生成前三级金字塔程序(Laplacian pyramid program, the program generated the first three pyramids)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)

统计模式识别、线性或非线性回归以及人工神经网络等方法是数据挖掘的有效工具，支持向量分类（support vector classification，简称SVC）算法是一个很有发展前景的方向。(Statistical pattern recognition, linear or nonlinear regression and artificial neural network approach is an effective tool for data mining, support vector classification (support vector classification, referred to as SVC) algorithm is a promising direction.)

基于matlab的遗传算法的实现pdf论文(matlab GA)

matlab 模糊PID控制simulink 仿真(fuzzle PID control of matlab)

An program for transmission line is given in this file.For Short the length is 80 km,for medium 80 to 250 km and for long transmission length is given by 250 km above.