很好用的LTE的下行信道估计mse的测试例程代码

该文件为粒子群算法优化支持向量机模型参数的matlab代码 支持向量机模型为专门用于处理不平衡数据的成本控制型支持向量机模型 用粒子群算法优化模型中的三个主要参数：C1、C2、sigma(The file is in particle swarm optimization parameters of support vector machine model matlab code for support vector machine model designed for use with unbalanced data, cost control, support vector machine model using particle swarm optimization model of the three main parameters: C1, C2, sigma)

用于独立成分分析的固定点算法工具包，内有详细的帮助文件,并附有参考文献(Independent component analysis for fixed-point algorithms kit, with detailed help files)

决策树分类器在乳腺癌诊断中的应用研究（2012b版本）(Application of decision tree classifier in breast cancer diagnosis (2012b version))

非常有用，采用DWT变换实现数字水印的嵌入和提取(Very useful, DWT transform was adopted to realize digital watermark embedding and extraction)

说明：  设备到设备(Device-to-device, D2D)通信是一种很有前途的提高蜂窝网络频谱效率的技术 网络。 在本文中，我们研究了联合上行链路和 下行资源分配问题的总和最大化 在保证服务质量的同时保证系统的数据速率 (QoS)蜂窝用户设备(CUEs)和D2D用户 设备(费)。(Device-to-device (D2D) communication is a promising technology to improve the spectral efficiency of cellular networks. In this paper, we investigate the joint uplink and downlink resource allocation problem to maximize the sum data rate of the system while guaranting the quality of service (QoS) for both cellular user equipments (CUEs) and D2D user equipments (DUEs).)

改程序为matlab代码，其内容为实现基于信息最大化的盲源分离算法。该算法主要应用于图像处理，语音信号处理及雷达信号处理当中。(Reform program for the matlab code, which reads the information-based blind source separation algorithm to maximize. The algorithm is mainly used in image processing, speech signal processing and radar signal processed.)

Antenna code for finding 3D impulse response

模式识别中的经典算法，感知器算法在matlab中的编程实现(The classic pattern recognition algorithms, perception algorithm in matlab programming)

共轭梯度法的matlab实现，给出任意的一个对称矩阵，可通过较小的迭代次数得到所要求精度的数值解(Conjugate gradient method matlab to achieve, given any symmetric matrix by a smaller number of iterations to obtain the required accuracy of the numerical solution)

ksvd 其中包含omp算法,对一副自然图像进行稀疏重构，重新形成该图像，找出稀疏系数。(ksvd method.if you want konw more detail please translate the above Chinese words.)