ship-tracking-control

影像處理(mapge ) AND & OR

Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model.

低通IIR滤波器的源码，简单有效。低通IIR滤波器的源码，简单有效(Low-pass IIR filter source, simple and effective. Low-pass IIR filter source, simple and effective)

空间矢量脉宽调制（SVPWM）的波形的输出，方便大家更好的认识SVPWM的机理.(Space Vector Pulse Width Modulation (SVPWM) waveform of the output, to facilitate a better understanding of the mechanism of SVPWM.)

Tamura纹理图像的MATLAB实现，粗糙度、对比度、方向度、线性度、规则度以及粗略度(MATLAB implementation Tamura texture, roughness, contrast, direction, linearity, and a rough rule degree degree)

伯肃叶流动用格子boltzmann方法去扩展新的研究方法(Peter Stephen leaf lattice boltzmann method flow go with the expansion of new research methods)

fsk的matlab例程，包括调制，解调，信噪比计算，眼图等(fsk the matlab routines, including modulation, demodulation, signal to noise ratio calculation, such as eye-diagram)

说明：  本文章详细介绍了 如何用matlab 进行小波分析从而建立音频的数据索引(This article details how to use matlab wavelet analysis carried out so as to establish audio data indexing)

matlab命令大全：包含了matlab中所有的常用命令(matlab command Daquan: contains all the common commands matlab)

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)