matlab-2012b-install-under-Windows

matlab的上百个源代码，包括用matlab进行数值计算，矩阵运算，多维曲线的绘图，都有涉及，希望对大家有所帮助！(matlab hundreds of source code, including the numerical calculation using matlab, matrix operation, multi-dimensional curve drawing, are involved, we want to help!)

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说明：  turbo码的编译程序，用MATLAB实现。(turbo code compiler, using MATLAB.)

svm源码 支持向量机 文本分类算法(the svm source text classification algorithm Support Vector Machine)

need codes for mobile communication

数据关联是多目标跟踪的一项关键技术。JPDA是大家公认的多目标跟踪中性能较好的数据关联算法，它 认为量测和目标是一一对应的关联关系，但在许多实际情况中，量测和目标是多一多对应的关系。针对上述情况，该文提 出了广义概率数据关联算法(Generalized Probability Data Association，GPDA)。文中从理论上对这两种算法的性能进行了 详细分析，并利用Monte Carlo技术对其性能进行了仿真比较。(Data association is one of the key technologies in multi—target tracking．And JPDA is considered as the best da· ta association method．JPDA considers the association of measurements with targets is simply one-to-one problem．But in many practical cases，the association of measurements with targets will be multiple—to—multiple problem．For this case，a Generalized Probability Data Association(GPDA)algorithm is proposed in this paper．Furthermore，this paper analyzes the performance of these two algorithms theoretically．And we give the comparative analysis of those performances by using Monte Carlo method．)

使用matlab实现包络检波，解调；matlab与通信仿真；matlab教程；ds-cdma相关文章。(Using matlab to achieve the envelope detector, demodulator matlab simulation and communication matlab tutorial ds-cdma-related articles.)

基于OFDMA系统的多用户资源分配算法，论文配备MATLAB代码，入门的好教材。(— Orthogonal Frequency Division Multiple Access (OFDMA) basestations allow multiple users to transmit simultaneously on different subcarriers during the same symbol period. This paper considers basestation allocation of subcarriers and power to each user to maximize the sum of user data rates, subject to constraints on total power, bit error rate, and proportionality among user data rates. Previous allocation methods have been iterative nonlinear methods suitable for ofine optimization. In the special high subchannel SNR case, an iterative root-nding method has linear-time complexity in the number of users and N logN complexity in the number of subchannels. We propose a non-iterative method that is made possible by our relaxation of strict user rate proportionality constraints. Compared to the root-nding method, the proposed method waives the restriction of high subchannel SNR, has signicantly lower complexity, and in simulation, yields higher user data rates.)

本文给出了二进制粒子群算法的源程序，并运用实例进行了验证。(In this paper, the source code of the binary particle swarm algorithm is given and verified by an example.)

最新的自适应小脑神经网络在滑膜变结构中的应用。(New adaptive neural network of small changes in the structure of synovial membrane.)