LMS(New)

Find local maxima in matlab

CSTR产生数据的程序。由于CSTR具有广泛的应用性，故特地利用伪随机序列激发CSTR系统，产生数据。(CSTR generate data procedures. As CSTR with extensive application, it specifically using pseudo-random sequence inspired CSTR systems to generate data.)

Matlab allows the use of MEX files –MEX files are pre-compiled files that are called from Matlab –Can be compiled from Matlab .m files –Can also be compiled from external C++ code. • This will be our focus

Optimal Production Planning Formulation

说明：  matlab与dsp之间进行udp通信的matlab程序，包含了自己的理解注释，可以实现简单的报文接收，并可以根据自己的需要进行实时的matlab报文数据处理解析。欢迎交流。(Matlab program for UDP communication between MATLAB and DSP contains its own understanding notes, which can realize simple message receiving and real-time matlab message data processing and analysis according to their own needs.)

有向无环图支持向量(DAG-SVMS)多类分类方法,是一种新的多类分类方法。该方法采用了最小超球体类包含作为层次分类依据。试验结果表明,采用该方法进行多类分类,跟已有的分类方法相比有更高的分类精度。 (Directed acyclic graph support vector (DAG-SVMS) multi-category classification methods, is a new multi-category classification methods. The method uses the smallest category of super-sphere that contains the level of classification as a basis. The experimental results show that using the method of multiclass classification with the classification method has been compared to a higher classification accuracy.)

说明：  测试系统模型的测试路径选择算法研究The test based on the test system model path algorithm(The test based on the test system model path algorithm)

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.

Fast Hog People Detection

在matlab软件下实现传感器节点的拓扑设置以及DV_hop算法，得到未知节点的坐标(Matlab software in the topology of sensor nodes to achieve DV_hop algorithm settings and to get the coordinates of the unknown node)