Cascade_Multilevel_inverter_model

xwch_test.m是主测试文件；biaoji.mat存放滤波器系数；xiangweicha.m用FFT计算相位差。 仿真框架为： 1.标记信号和双音信号续接作为发送信号； 2.对双音中一个频率分量的相位做偏移，再经过一个低通滤波器（引入线性相位，模拟收发不能同步测量现象）后，作为收到的信号； 3.用一个检测信号对收发信号进行相关运算； 4.画出收发信号以及相关处理后的信号。找出相关信号的那个尖点，从而推算出收发双音信号0相位点； 5. 输入0相位点位置，计算相对相位差。(xwch_test.m is the main test file biaoji.mat store filter coefficients xiangweicha.m calculated using FFT phase difference. Simulation framework: 1. Mark signals and then as a two-tone signal continued to send signals 2. On a two-tone frequency components of the phase shift to do, and then through a low pass filter (the introduction of linear phase, simulation can not simultaneously send and receive measuring the phenomenon), the as received signal 3. using a detection signal of the transceiver signal correlation operation 4. draw send and receive signals and related processed signal. Correlated signal of the cusp, which calculate the two-tone signal transceiver 0 phase point 5. Enter 0 phase point position, calculate the relative phase difference.)

Model Predictive Control Simulink Library

sift and ransac implementation

一步步讲解如何在VC中调用matlab图像处理工具箱来进行canny边缘提取 1.包含pdf文档和源代码 2.源代码code 开发环境是VC6、Matlab7 (a step by step on how to call in VC Matlab Image Processing Toolbox to a canny edge extraction. Pdf files and contains the source code two. Source code development environment is VC6, Matlab7)

Object MatLab implementation of the Robust Non-Linear Smoother (RNLS) for state-space models

扩频程序 主要是采用m序列，对发送数据进行扩频(SPREAD PROCESS)

基于极限学习机的预测模型，数据为混沌数据(extreme learning machine)

说明：  This file usesd Hopfield network to store patterns and to recall the full patterns based on partial input.

卡尔曼滤波的源程序，卡尔曼滤波是以最小均方误差为估计的最佳准则，来寻求一套递推估计的算法。(Kalman filtering of source code, Kalman filter based on minimum mean square error for estimating the best criteria to search for a recursive estimation algorithm.)

用于现代信号分析与处理课程，系统辨识、维纳滤波和自适应滤波(Used in modern signal analysis and processing programs, system identification, Wiener filtering and adaptive filtering)