20130809

说明：  数字信号处理中的一些matlab源程序。(digital signal processing some of the Matlab source.)

ECG Feature Extraction Techniques ECG Feature Extraction Techniques ECG Feature Extraction Techniques ECG Feature Extraction Techniques ECG Feature Extraction Techniques

这是一些MATLAB中关于图像处理的一些小的操作，一些函数的介绍和使用，希望对大家有用(These are MATLAB image processing on the operation of some small, some function of the introduction and use of, in the hope that useful)

Start with the runlocalization track.m which is the entrance function to your lab. This function reads two les determined by simoutle and maple input arguments which contain information about sensor readings and the map of the environment respectively, runs a loop for all the sensor readings and calls the ekf localize.m to perform one iteration of EKF localization on the readings and plots the estimation(red)/ground truth(green) and odometry(blue) information.(This lab consists of two parts: 1. A preparatory case study with a standard Kalman lter where you learn more about the behavior of the Kalman lter. Very little extra code is needed. 2. The main lab 1 problem in which you need to complete an implementation of an Extended Kalman lter based robot localization.)

when you want to read some parameters from the HTK macro you trained, just use this source code. it help you read a htk parameter(macro file). But, it can read all parameter type. it just read GMM parameter(1 state, N mixture)

模拟退火算法的基本思想是从一给定解开始,从邻域中随机产生另一个解,接受Metropolis准则允许目标函数在有限范围内变坏,它由一控制参数t决定,其作用类似于物理过程中的温度T,对于控制参数的每一取值,算法持续进行“产生—判断—接受或舍去”的迭代过程,对应着固体在某一恒定温度下的趋于热平衡的过程,当控制参数逐渐减小并趋于0时,系统越来越趋于平衡态,最后系统状态对应于优化问题的全局最优解,该过程也称为冷却过程,由于固体退火必须缓慢降温,才能使固体在每一温度下都达到热平衡,最终趋于平衡状态,因此控制参数t经缓慢衰减,才能确保模拟退火算法最终优化问题的整体最优解。(Simulated annealing algorithm based on the idea that a given solution from the beginning, randomly generated from the adjacent domain to another solution, Metropolis acceptance criteria for the objective function to allow a limited range of deterioration, which is a control parameter t decided that its role is similar to the physical the course of the temperature T, the control parameters for each value, the algorithm continued to "have- to determine- to accept or rounding" of the iterative process, corresponding to a solid at a constant temperature of the process tends to thermal equilibrium, when control parameters and tended to decrease gradually 0:00, the system equilibrium state more and more, and finally the system state corresponds to the optimization problem of global optimal solution, the process is also known as the cooling process must be slow as a result of annealing temperature of solid to make solid temperature in each of them had attained thermal equilibrium, and ultim)

This is an hardware project.

本实例主要是MATLAB搭建的spwm模块 通过仿真 我们可以很清晰的看到该模块能将输入的正弦波和固定频率的三角载波进行比较 输出spwm波 结构简单 易于理解(this model mainly about the spwm generation.we can clearly see the spwm wave from the output and drive the IGBT.)

本程序考虑到孤岛和并网的状态，可以进行微电网的潮流计算(This procedure takes into account the island and grid connected state, can be micro power flow calculation)

This is a ext-informax algorithm,which can separate supergaussian and subgaussian mixed signals.