fangbo

ask调制模块，matlab，m文件，用m文件写的ask调制的模块(ask modulation module, matlab, m file, m file to write the module ask modulation)

how bit loading is done by the help of SNR

本程序实现汉字和字符的识别匹配，通过该算法，可以实现手写体的字符和汉字的识别(This procedure to achieve identification of characters and character matching, through the algorithm, can achieve the character and Chinese character handwriting recognition)

说明：  有源电力滤波器(APF:Active power filter)是一种用于动态抑制谐波、补偿无功的新型电力电子装置，它能够对不同大小和频率的谐波进行快速跟踪补偿，之所以称为有源，是相对于无源LC滤波器，只能被动吸收固定频率与大小的谐波而言，APF可以通过采样负载电流并进行各次谐波和无功的分离，控制并主动输出电流的大小、频率和相位，并且快速响应，抵消负载中相应电流，实现了动态跟踪补偿，而且可以既补谐波又补无功和不平衡。(APF:Active power filter))

《MIMO-OFDM Wireless Communications with MATLAB》电子书和matlab源代码(<MIMO-OFDM Wireless Communications with MATLAB> ebook & matlab source code)

This is Code of PSO with matlab

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.)

Manages the interaction between the secure system setting for default geolocation.

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

蚁群算法解决TSP问题，验证过的，运行乜有问题，希望多多交流！(Ant colony algorithm to solve TSP, verified, run what-have problems, I hope more exchanges!)