A258

是winner II 即WIM2模型的软件matlab实现文档及源代码。实现日期是08年9月23日。可以支持100MHz带宽(Is the winner II model that WIM2 software matlab implementation documentation and source code. Implementation date is September 23, 2008. Can support 100MHz bandwidth)

4个不同信道环境下误码率的分析，基于信噪比SNR的，通信方面(four different channel bit error rate environment analysis, based on the SNR, communications)

对心电信号进行滤波处理后，计算RR间隔，进而求得瞬时心率和心率变异系数，通过对RR间隔的变化曲线进行频谱分析，从而求得各个自律神经活动的评价指标(After filter processing is performed on the ECG, the RR interval is calculated, and then seek the instantaneous heart rate and heart rate variability coefficient, spectral analysis through the curves of changes in the RR interval, to thereby obtain the evaluation index for each of the autonomic nervous activity)

Impedance Spectroscopy

matlab学习资料，对绘图有疑惑的同学有帮助，谢谢(matlab learning materials, students of the drawing in doubt helpful, thank you)

此计划获得的图像和desidered一些分区和认定的手段的不同类别，并提供clasified形象(This program gets an image and the desidered number of partitions and finds the means of the different classes and provides a clasified image )

说明：  这是一个用c++实现的程序，功能：熟悉Mallat 算法、Daubechies 小波的构造、样条小波的性质(err)

可以实现盲均衡算法MCMA+DD，效果较好(Blind equalization algorithm can achieve MCMA+DD, better)

用K均值算法和C模糊算法对sonar数据和iris数据进行分类。 K均值算法是一种很常用的聚类算法，其基本思想是，通过迭代寻找K个聚类的一种划分方法，使得用这K个聚类的均值来代表各类样本是所得到的的总体误差最小。 模糊C均值（FCM）算法在K均值算法的基础上，用模糊子集代替确定子集，从而得到模糊的分类结果，即分类结果的模糊化。(Sonar data and iris data are classified by means of K mean algorithm and C fuzzy algorithm. The K mean algorithm is a very common clustering algorithm. Its basic idea is to find a partition method of K clustering by iteration, so that the average error of the mean of the K clustering is minimized. The fuzzy C mean (FCM) algorithm is based on the K mean algorithm. The fuzzy subset is replaced by the fuzzy subset, thus the fuzzy classification result is obtained, that is, the classification result is fuzzed.)

Langmuir_Probe PLASMA simulation