ldatrace

基于纯角度信息的采用逻辑规则和简单方法的航迹起始仿真程序()

说明：  这是个滤波器设计程序编码，希望各位朋友看看！(滤波器设计)

Here i attach the MATLAB codings for dsp applications. with the help of these coding we can easily design the dsp applications

face detection using matlab(fetching image from computer and convert it into gray image)

matlab的滤波方法有很多，该包中几何了中指滤波，维纳滤波，领域平均法滤波。(matlab has a lot of the filtering method, the package geometry of the middle filtering, Wiener filtering, average filtering fields.)

利用cookies控制的百度发帖机源代码。很久之前做的。大家可以参考一下(The control of the use of cookies Baidu posted machine source code. Long ago to do. We can refer to)

SVM light 工具箱 包含window版本和matlab版本 由美国cornell大学的教授Thorsten Joachims部署 执行SVM二分类 速度明显快于libsvm 下载文件中包含 1.例子(inductive SVM 和 transductive SVM) 2.说明文件 3.源程序(SVM light kit (including window version and matlab version) Cornell university professors from the United States to deploy Thorsten Joachims Executive SVM binary classification Significantly faster than libsvm Download file contains 1 example (inductive SVM and transductive SVM) (2) Documentation 3 source)

区分基因序列的外显子和内含子并找出区分外显子和内含子的阈值(Distinguish gene sequence exons and introns and exons and identify distinguishing threshold intron)

This paper presents experimental results of angle of arrival (AOA) estimation for sensor node localization of wireless networksand some radar detection methods

针对多椭圆检测问题提出了一种快速随机检测算法。该算法利用在图像中随机采样到的一个边缘点和 局部搜索到的两个边缘点以及这三个点的邻域信息确定候选椭圆,再将候选椭圆变换为对应圆,通过确认真圆来确 认真椭圆。在确定候选椭圆时,最大限度地减少随机采样点数‰ 剔除更多的非椭圆点,降低了无效采样,减少了无效 计算。数值实验结果表明:该算法具有良好的鲁棒性,其检测速度比同类算法快(Ellipse detection problem for many a fast random detection algorithm. The algorithm uses random sampling in the image of an edge point and the local search to the two edge points, as well as the three-point neighborhood information to determine the candidate ellipse, and then transformed into the corresponding elliptical candidate won, through the identification of real yen to confirm really elliptical. In determining when a candidate ellipse, to minimize random sampling points ‰ remove more non-oval points, reducing invalid sampling, to reduce the calculation invalid. Numerical experimental results show that: the algorithm has good robustness, and its detection faster than similar algorithms quickly)