faceidpro

说明：  mimo系统ml算法的matlab仿真程勋(algorithm for mimo systems ml)

用MATLAB实现动态聚类或迭代自组织数据分析，线性调频脉冲压缩的Matlab程序,进行波形数据分析,课程设计时编写的matlab程序代码，数值分析的EULER法，LDPC码的完整的编译码，用于特征降维，特征融合，相关分析等,采用加权网络中节点强度和权重都是幂率分布的模型。( Using MATLAB dynamic clustering or iterative self-organizing data analysis, LFM pulse compression of the Matlab program, Waveform data analysis, Course designed to prepare the matlab program code, EULER numerical analysis method, Complete codec LDPC code, For feature reduction, feature fusion, correlation analysis, Using weighted model nodes in the network strength and weight are power law distribution.)

交通流元胞自动机Matlab源代码 *跟驰功能 *换道功能*元胞空间定义功能*车辆定义功能*驾驶员特性定义功能*发车密度定义功能*信号配时定义功能*换道比例定义功能(Traffic flow cellular automata Matlab source code* follow the function * lane changing function* unit cell space definition function* vehicle definition function* driver characteristics definition function* departure density definition function* signal timing definition function* changing channel proportion definition function)

lms算法实现单波束形成，线阵单波束形成，(linear array signal beamforming )(LMS beamforming algorithm alone, single-line array beamforming, (linear array signal beamforming))

资源调度算法。VOIP业务在PF准则下调度的性能比较。(Resource allocation algorithm. VOIP business in the PF scheduling performance comparison criterion.)

基于matlab图像处理的汽车车牌照提取的识别系统(Based on matlab image processing to extract a car license plate recognition system)

this file simulates reciever in relay node of cooperative ofdm communication

解非线性方程组的gui程序，选自机械工业出版社出版的《时尚百例丛书》(solving nonlinear equations of gui procedures, industrial machinery from the publishing house "Fashion 100 cases Series")

example of texture segmentation using matlab code

本文针对基于经验模态分解ＥＭＤ的时空滤波器存在的固有模态函数分量中频率混叠交叉导致有用信号与噪声一起被滤除的问题结合小波在时间尺度两域表征信号局部特征的特性提出了一种基于能量估计实现ＥＭＤ分解层数确定(In this paper, based on empirical mode decomposition EMD temporal filter mode functions inherent component of cross-frequency aliasing and noise together lead to useful signal is filtered in the time scale of the problem combined with wavelet domain characterization of two local features of the signal characteristics of proposed achieve energy estimation based on EMD decomposition level determined)