bsp_2_3_ladt3

说明：  追踪法，也称猎狗追兔子法的数学模型和仿真程序。(Tracking method, also known as rabbit hunting dogs chasing law mathematical model and simulation program.)

LCMV算法的测试，能形成图形自己亲测，比较好的。 (Lms and RLS algorithm simulation, personally tested, can be used, very )

输入两个端点 作为圆柱端面上两个圆心 绘制斜圆柱(This function constructs a cylinder connecting two center points )

用matlab仿真schmidl算法再ofdm系统的符号同步算法(Matlab simulation schmidl algorithm and thendm system symbol synchronization algorithm)

The document is a toolbox which commands all the commands available in contourlet transform

利用matlab实现的二维回环拓扑随机游走模型相遇时间分析(Analysis of meeting time in 2D torus random walk with MATLAB)

Matlab源码 计算矩阵各列与其他各列的互相关系数，并按照概率分布利用直方图的形式展示出来。 该互相关系数的定义参考Michael Elad的《Sparse and Redundant Representations》p25 Definition2.3(Matlab code for mutual-coherence of a given matrix)

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.

三维蛇形机动仿真，用matlab仿真的空中目标三维蛇形机动(Three-dimensional maneuver simulation, simulate three-dimensional maneuver of aerial targets using matlab )

在重构相空间的基础上计算吸引子的分形维时,合适的嵌入维m和时间滞后τ的选取至关重要.在虚假邻域概念基础上,本文给出了确定m和τ的方法.较之以前的方法,此方法更准确、简单、容易理解、易实施,对较小样本数据集也可靠.最后的应用实例验证了理论的正确性.(In the reconstructed phase space based on the calculation of the fractal dimension of attractor, the appropriate embedding dimension m and time lag τ selection is essential. In a mock neighborhood based on the concept, this paper presents the method to determine m and τ. Compared with the previous methods, this method is more accurate, simple, easy to understand, easy to implement on a smaller set of sample data is also reliable. The last application example to verify the theoretical correctness.)