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用以下的语句即可实现序列图像的组合。本人试了很多程序终于发现此妙招，再次感谢pudn提供的各种便利的下载，对于学者我也会多多发表自己研究的代码。(With the following statement to achieve a combination of image sequences. I have tried many programs and finally found this coup, thanks again pudn provide a variety of convenient download for academics, I also published a lot of their own research code.)

系统仿真了HSDPA中的harq系统，对HARQ系统的吞吐量，重传次数做了分析描述 turbo 码matlab编译码程序，包括map和siso译码算法(Simulation of HSDPA in harq system, HARQ throughput of the system, the number of retransmissions to do the analysis described decoding turbo code matlab procedures, including map and siso decoding algorithm)

This package contains a collection of classes and functions, which allow to comfortably work with medical images and meshes. It provides a intuitive and transparent way of dealing with spacing, origin, image orientation, etc. The package includes functions for input-output with common image formats (mhd, gipl) and mesh formats (vtk, stl), and basic (although not necessarily simple) image processing operations such as image resample, image reslice and image transform.

阵列信号处理中的MUSIC法， 仿真不同SNR、不同阵元数、不同快拍数下的性能！ 原创(MUSIC in array signal processing, simulation of different SNR, different number of array elements, different number of snapshots of performance under! Original)

ASK调制模型，提倡共享。谢谢大家支持。(ASK modulation model, promoting sharing. Thank you for support. Thank you, Thank you, thank)

基于互信息量法求出的时间延迟结合cao法求取Rossler系统的嵌入维数。(Cao method slove embed_m questions.)

本去噪程序包，包含了多种小波阈值去噪算法，包含了小波变换算法的具体实现，去噪算法的具体实现，提供了一个统一的界面，便于初学者学习(this denoise package,includes servel kinds of denoise method that based on threshlod,and it has detail realization of wavelet transform,denoise method,GUI.it is convevient for beginners)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

模糊C均值聚类的一个参考材料,做模糊聚类是用的一个程序(FCM of a reference materials, so fuzzy clustering is a process)

这是一个关于AM和FM调制实现的MATLAB程序，内有详细注释，希望能对大家有所帮助。(on AM and FM modulation to achieve the MATLAB program, with detailed notes, The hope is to help everyone.)