eg11-youhuajisuan

通过定义邻接矩阵，计算节点之间的最短路径长度(By defining the adjacency matrix to calculate the shortest path between node length)

此文件是基于MATLAB环境下的关于FIR滤波器设计程序 其中包括了MATLAB的源程序和采用循环缓冲区实现的汇编源程序和连接程序。(This document is based on the MATLAB environment on FIR filter design process including the use of MATLAB and the cycle of the source buffer to achieve the compilation of source code and connection procedures.)

说明：  读取文件并导入工作环境的程序(Read the file and import procedures for the working environment)

基于matlab的语音信号处理的几篇论文，涉及自相关基音检测、时域频域参数分析等(Based on several papers matlab speech signal processing, involving autocorrelation pitch detection, time domain analysis, frequency-domain parameters)

基于MMSE准则的盲自适应多用户检测算法(Based on MMSE criterion for blind adaptive multiuser detection algorithm)

basically a trial run to get back into the mode of things. This is a simple MCM communications system. The code is pretty self-explanatory

说明：  《MATLAB 7.0编程基础基础》源程序，适合初学者使用，第3章(&quot MATLAB 7.0 programming foundation base&quot source, suitable for beginners, Chapter 3)

通过matlab代码，双向PCS控制仿真，DC-DC部分采用lyeCxId定功率单环控制，DC-AC采用Udc-Q解耦控制，系统直流电压由后级DC-AC实现稳定控制，UWvKaVx参数合适(Through the matlab code, two-way PCS control simulation, DC-DC part of the lyeCxId fixed power control, Udc-Q using DC-AC decoupling control, the system DC voltage the rear stage DC-AC to achieve stable control, UWvKaVx parameters suitable)

ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T - translation vector accordingly so newdata = R*data + T . newdata are transformed data points to fit model see help icp for more information (ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model- matrix with model points, data- matrix with data points, OUTPUT: R- rotation matrix and T- translation vector accordingly so newdata = R*data+ T . newdata are transformed data points to fit model see help icp for more information )

the intersection of cycl in matlab.show the result in figur.