Kalman-EKF

以八个锚链受力平衡、力矩平衡为对象，使用Vb调用matlab进行线性最小化计算函数，matlab调用的函数写在m文件中。(To eight anchor the balance of power, torque balance for the object, using Vb call matlab linear function minimization calculations, matlab function calls written in the m file.)

frft.快速分数阶傅里叶变换函数。调频信号分析的有力工具。(function of frft)

文章讲述了现在韩国的频谱政策和动态频谱接入技术。过去韩国的频谱管理政策需要特权，并且只有一小部分频谱可以公用。随着无线技术的发展，现在，韩国政府，使用了机遇动态频谱接入的新型频谱策略，例如LBT技术用于REID，UWB和FACS等。MIC还考虑如何在DTV过渡完成后，重新分配频谱。新型的无线电技术如认知无线电和SDR将在UHF边带中应用新的服务。MIC试图用一用有效地方式开放频谱并接受新技术用于频谱策略中。(In this paper, we introduce spectrum policies and dynamic spectrum access technologies in Korea. In the past, Korea spectrum management was the command and control with exclusive usage rights and small portions of spectrum commons bands. With the development of the radio technologies, Recently, Korea government, MIC(ministry of information and com- munication), has been adopting new spectrum policies based on dynamic spectrum access technology such as LBT(Listen Before Talk) for RFID, UWB, and FACS(Flexible Access Common Spectrum) etc. MIC is also considering spectrum reallocation of digital dividend bands after DTV transition. New radio techniques such as cognitive radio and SDR will be applied to new services in this UHF band. MIC is trying to open the radio spectrum in an efficient way and adopt new technology into spectrum policy. Thus MIC is extending the open spectrum such as spectrum commons and spectrum liberalization bands. )

Stewart platform, classic model with PID controller

MOM 巨量法 初学巨量法编程很好的参考。(MOM for a newer who want to study MOM )

Matlab program for tasting IIR filters: Butterworth, Chebishev 1, Chebishev 2 and eliptic filter

Thinking on the matlab image processing, through four-dimensional perspective, involving multidisciplinary summary, as well as the threshold of the chaotic property

图像处理 车辆跟踪 边缘检测 二值化等等 车辆检测 交通流(Image Edge Detection Vehicle Tracking Vehicle Detection binary traffic flow, etc.)

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)

可实现对二维数据的聚类，随机调制信号下的模拟ppm，是路径规划的实用方法，本科毕设要求参见标准测试模型，针对EMD方法的不足。( Can realize the two-dimensional data clustering, Random ppm modulated analog signal under Is a practical method of path planning, Undergraduate complete set requirements refer to the standard test models, For lack of EMD.)