CoBanVeMalab

histogram draw, and parameters of histogram

IMPARARE IL C++ in 2 ore e mezzo? Modulo-new

免疫优化智能算法，以及它在物流配送中选址应用，注释详细运行顺畅(Immune Optimization intelligent algorithm and its application in logistics and distribution sites, detailed notes running smoothly)

利用matlab GUI实现的串口编程例子，实现了图像的灰度化并进一步用于视频监视控，最大信噪比的独立分量分析算法。( Use serial programming examples matlab GUI implementation, Achieve a grayscale image and further control for video surveillance, SNR largest independent component analysis algorithm.)

ofdm in fading channel

雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。 最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对 数据进行滤波计算。(Radar data processing for target position data observed (known as trace points) filter processing, automatic track, and can be estimated to predict the position of the next target. Using the least squares algorithm (LMS) filtering process, have been relatively stable track estimates. Least-squares parameter estimation method is a more common parameter estimation method. For radar data, we assume that the kinematic model has been accurately track after, through the establishment of observation equations, which can be the parameters of the model, as ever speed, acceleration, etc. initial position and minimum mean square error estimation. Sequential least squares method using the observed data can be processed in real time, has been to treat the estimated parameters are updated in real time, and then use observational data can be filtered model calculations.)

说明：  运动估计代码.里面有源图像和运行结果.对写论文应该有帮助(motion estimation code. Active inside images and results of operations. Papers should be written to help)

烟花爆炸优化算法，2012年最新的智能寻优算法(Fireworks explode optimization algorithm, 2012 the latest intelligent optimization algorithm)

雷达信号处理的目的是消除不需要的信号及干扰，提取和加强由目标所产生的回波信号。( The purpose of the radar signal processing is to eliminate unwanted signals and interference, extraction, and the strengthening of the echo signal generated by the target.)

《MATLAB神经网络30个案例分析》中的第16个例子，案例16 单层竞争神经网络的数据分类—患者癌症发病预测。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 16 cases (16 patients with single competitive neural network data classification- cancer prediction. Hope to have certain help to everybody! )