yi

this is source code about extracting cars number

Human algorithm in matlab

系统自带的svm只能实现二分类，这个svm可以做多分类(Svm system comes only achieve two categories that you can do more svm classification)

日本九州大学的机械工程学院的 Xiong Xiaogang 于 2012 年提出一种更易于实现、同时有能够描述所有摩擦力现象的摩擦力模型，其基于一个微分方程和两个代数方程。本程序是其Simulink实现，非常好用。模型原理请参考：(In 2012, Xiong Xiaogang of the school of mechanical engineering, Kyushu University, Japan proposed a much easier way. The friction model, which can describe all friction phenomena, is based on a differential equation and two algebraic equation. This program is its Simulink implementation, very good use. Model principles, please refer to:Xiong X, Kikuuwe R, Yamamoto M. A differential-algebraic multistate friction model[M]. Simulation, Modeling, and Programming for Autonomous Robots. Springer Berlin Heidelberg,2012)

Simple Zernike Moments

产生随机导频信号的程序 能利用此基本的来帮助进行复杂的编程(Generate random pilot signal)

一本matlab学习书籍，包括入门到精通，还有simulink等，北航出版。(A matlab learning books, including entry to the master, as well as simulink, etc., Northern Publishing.)

说明：  ：Mean—shift算法是一种非参数密度估计算法，可以实现快速的最优匹配，在目标的实时跟踪领域起着非常 重要的作用。为了有效的将Mean—shift算法应用到灰度图像中，采用了以方向直方图建立目标模型的策略，提出了在灰 度图像中以Mean—shift为核心的目标跟踪算法。实验结果表明，该算法具有不受光照条件影响的优点，在低对比度的情 况下仍能实现稳定、实时的跟踪目标。(: Mean-shift algorithm is a nonparametric density estimation algorithm, the optimal matching can be fast, real-time tracking fields in the target plays an important role. In order to effectively Mean-shift algorithm will be applied to the gray image, the histogram used to establish the direction of the strategy target model is proposed in the gray image to Mean-shift tracking algorithm as the core. Experimental results show that the algorithm has the advantage of not lighting conditions, in the case of low contrast can still achieve stability, real-time tracking of targets.)

模拟2个独立窄带信号分别以20°，60°的方向入射到均匀线阵上信号间互不相关，与噪声相互独立，噪声为理想高斯白噪声，阵元数为10，阵元间距为入射信号波长的1／2，信噪比为20dB，快拍数分别为5，50，200。(Simulate two independent narrowband signals in the direction of 20 °, 60 ° of the incident on the ULA between signal uncorrelated with independent noise, the noise is ideal Gaussian white noise, the array element number 10, the array element spacing of the incident 1/2 wavelength of the signal to noise ratio of 20dB, the number of snapshots 5,50,200 respectively.)

学习雷达系统设计非常好的一本书，书中有很多例子，并附有MATLAB编写的雷达仿真程序(Learning radar system design is very good book, there are many examples in the book, along with a radar simulation program written in MATLAB)