DianMaLunTan

准谐振变流器matlab/simulink仿真程序，观察模型特性(quasi-resonant converter Matlab/Simulink simulation program to observe the model characteristics)

For data which is reasonably distributed i.e., few if any outliers the result should be comparable to the std function.

low energy adaptive clustering code in matlab for wireless sensor netwoks

MPSK和QAM仿真，AWGN信道，误码率与Es/N0的关系和理论关系式的对比。(MPSK or MQAM modulated signal s relationship between BER and Es/N0 in AWGN channel,compared with the ideal function given by theory.)

Tutorial to design JTAPI applications

Matlab代码实现对GPS/DR组合导航的卡尔曼滤波。(Matlab code realization on GPS/DR integrated navigation of kalman filtering. )

Figital Imagin process And Matlab E-book

说明：  1、指标信号，仅当参考；理解理念，才更重要！指标中大阳支撑的理念，请大家适当参考；其余提示信号，均可只当戏玩，不可生搬硬套！ 2、【烧香拜佛】指标极其简单，不可单独使用，请结合盘面热点、板块龙头等情况，综合考虑目标的机会。 3、该指标对于进入主升浪、台阶式上涨的目标，最为有效！ 下面给出大智慧L2、飞狐、通达信三种常用软件的版本源码，请需要的朋友适当参考。　(1, indicator signal, only when the reference understand the concept, it is more important! Indicators support the idea of the sun, please refer to the appropriate the remaining prompts signal, can only play when the play, not rote! 2】 【pray to Buddha indicator is extremely simple, is not alone, please combine disk hot plate leading, etc., considering the target opportunity. 3, the indicator for access to the main upward move, stepped up the goal, the most effective! Here are great wisdom L2, flying fox, accessible version of the letter are three commonly used software source code, make a friend in need the appropriate reference.)

这是一个用于线性分类的支持向量机SVM的MATLAB实现。此代码利用简单的MATLAB内置函数实验了SVM，不依赖LIBSVM等工具箱，并且提供了一个例子，以供初学者一开始对SVM有一个简单了解。(This is a matlab code of support vector machine.Here the SVM is achieved with some common matlab function. It is for SVM beginner. )

程序对4发4收系统进行V-BLAST检测算法的仿真。发送信号采用QPSK调制，信道为准静态瑞利平坦衰落信道，引入的噪声为均值为0的高斯白噪声，接收端分别采用ZF、MMSE、ZF-OSIC、MMSE-OSIC四种检测算法，根据其误比特率比较性能。(V-BLAST detection algorithm simulation program 4 of 4 admission system. Send signals using QPSK modulation, channel quasi-static Rayleigh flat fading channel, the introduction of noise with mean zero Gaussian white noise receiving end, respectively, ZF, MMSE, ZF-OSIC, MMSE-OSIC four detection algorithm based on its The bit error rate of the comparative performance.)