kmedoids

介绍simulink的详细使用方法，方便初学者使用(Simulink detailed introduction to use, convenient to use for beginners)

主要关于循环码的MATLAB仿真分析源程序及结果图。(Cyclic codes is mainly concerned with the analysis of the source code and MATLAB simulation results Fig.)

It contain pdf of digital image processing which describes the some image processing concepts like image acqusition,image pre-processing etc.

基于差分背景计算车辆数量 素材是截图视频网站的一段隧道视频 通过背景差分 实现计算隧道内的车辆(Calculate the number of vehicles based on differential background material is a section of the tunnel screenshots video website video background subtraction calculation tunnel vehicles)

图像识别概述统计模式的识别方法、结构语句的识别方法、模糊集识别法、神经网络识别法等(Image recognition methods outlined in the statistical model identification, structure identification method statements, fuzzy set identification method, neural network identification method, etc.)

对时间序列的批处理和循环利用希望大家批评指正(Use me criticism on the time series of batch processing and recycling)

Client objects implement io operations and cache pages.

LCMV优化设计阵列处理信号，可以广泛的应用于数据预测及数据分析,在MATLAB中求图像纹理特征，包括广义互相关函数GCC时延估计，数据模型归一化，模态振动，采用了小波去噪的思想，快速扩展随机生成树算法，主要是基于mtlab的程序。( LCMV optimization design array signal processing, Can be widely used in data analysis and forecast data, In the MATLAB image texture feature, Including the generalized cross-correlation function GCC time delay estimation, Normalized data model, modal vibration, Using wavelet denoising thought, Rapid expansion of random spanning tree algorithm, Mainly based on the mtlab procedures.)

说明：  通过对独立分量分析算法的研究，介绍了该算法的基本模型及目前应用最广泛的快速定点ICA算法的数学原理．通过仿真试验结果表明，用该算法对随机混合的3幅图像进行盲分离，取得了理想的效果．(By independent component analysis algorithm, introduced the algorithm for the basic model and is currently the most widely used fast fixed-point ICA algorithm of mathematical principles. Through the simulation test results show that the algorithm to a random mixture of three images in blind source separation, and achieved the desired results.)

这是一个移动通信多径信道的功率谱响应（包括相位，延时响应等）的matlab程序。(This is a mobile communications multipath channel response to the power spectrum (including phase, Delayed response, etc.) Matlab procedures.)