matlab基于霍夫检测的圆形识别GUI

costas环的simulink实现，可以直接在matlab上运行实现通信系统中的载波同步，对于学习或设计通信系统有很大帮助(simulink realization of costas loop that can run directly on the matlab implementation of carrier synchronization in communications systems, communications systems for the study or design of great help)

快对角化，实现减小多用户MIMO系统中用户间的干扰的目的(Fast diagonalization, to achieve multi-user MIMO system reduces interference between users of purpose)

标准粒子群算法，内含1个简单的适应度函数，可直接运行，没有错误(Standard particle swarm algorithm, containing a simple fitness function, can be directly run, no error)

卡尔曼滤波有很多用途，包括在控制、导航、计算机视觉和时间序列计量经济学中的应用。这个例子说明了如何使用Kalman滤波器来跟踪目标，并重点介绍了三个重要的问题特点：预测目标的未来定位减少由不准确检测引入的噪声促进多个目标与其轨迹的关联过程目标跟踪的问题是位置和位置的估计图像序列中运动物体的其他相关信息两帧跟踪可以使用基于相关的匹配方法、光流技术或基于变化的运动物体检测方法来完成

应用背景频率不变波束形成(Frequency-invariant beamforming, FIB)在麦克风阵列语音信号的无失真采集和处理中具有重要的应用。经典的FIB设计方法通常是在远场平面波的模型下提出的，本文根据麦克风阵列近场球面波模型，将空间响应变化函数(spatial response variation, SRV)运用到近场线性约束方差(Linear Constrained Minimum Variance, LCMV)宽带波束形成中，把空间响应函数作为优化条件，然后根据拉格朗日乘子法计算得到闭式解，从而得到频率不变的权向量。但是该方法受到环境干扰和噪声影响，权值分配值需要较大的浮动。因此本文采取了自适应加权频率不变波速形成，能够根据环境自适应的选择加权值的大小。仿真实例证明了所提方法的有效性和理论分析的正确性。关键技术The frequency invariant beamforming (FIB) has important applications in the microphone array speech signal acquisition and processing. Conventional FIB design methods are usually proposed in the far-field plane wave model, this paper according to microphone array in the near field spherical wave model , the response variation spatial (SRV) is applied to the formation of broadband beamforming in the near field linear Constrained Minimum (Variance LCMV), spatial response function as the optimal conditions, then according to the Lagrange multiplier method computing a closed

Mann Morrison SOurce code

基本的WIMAX802.16d MAC层的实现，注意只仿真了下行 (Basic WIMAX802.16d MAC layer realize and pay attention only to the downlink simulation)

correlation watremarking

SISTEMA DE Persistencia

基于最大比合并，瑞利信道下接收端的分集接收技术(Diversified Receiving Technology for Receiver in Rayleigh Channel Based on Maximum Ratio Merging)