lms

Matlab编程学习课件,非常好的资料赶紧下载(Matlab programming learning courseware, very good information quickly download)

经典的卡尔曼滤波计算，matlab的M文件实现。(The classic Kalman filter Matlab M-file implementation.)

无线通信数字信号GMSK调制解调并画出星座图(Wireless communications digital signal GMSK modem)

Matlab sourch code -> animation

说明：  Generalized frequency division muultiplexing(5G candidate waveform)

NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)，组成判断矩阵。 7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。 8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。 (NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following: A determining factor, and a network layer and control layer model. 2 create a comparison matrix. For each of the three types of indicators in accordance with normalized columns. 4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors. 5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements. 6 will each feature vector units of (normalized), to determine the composition of matrix. 7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix. 8 of the weighted super-matrix units of (normalized), seeking the powe)

对TXT文件数据进行读操作 写到excel文件(read TXT file then read in a new excel file)

MATLAB/SIMULINK下建立发电机仿真模型(Generator simulation model established under MATLAB/SIMULINK)

本程序是用matlab实现的，用来对图像进行JPEG方式的压缩，从而达到减少图像传输量的目的！(This procedure is realized matlab for JPEG image compression methods to reduce the amount of image transmission purpose!)

MoM code to find the scattered field from a circular perfect conductor (TE and TM)