MATLAB

Mathematical Modelling of PMSM Vector Control System Based on SVPWM with PI Controller Using MATLAB

一种基于图像特征点提取及匹配的方法 (A method based on image feature extraction and matching)

低通滤波器让某一频率以下的信号分量通过，而对该频率以上的信号分量大大抑制的电容、电感与电阻等器件的组合装置。 (low-pass filter )

matlab源码 船舶自适应部分 可以参考(matlab source code can refer to parts of the ship adaptive)

具有Levy飞行特征的foa算法,对果蝇优化算法的改进(Levy flight characteristics of foa algorithm)

说明：  计算海洋混合层和障碍层深度并通过M_Map工具包画出全球海洋MLD和BL的分布图(It is quasi homogeneous layer in the upper ocean where variation of density is negligible.)

digital terrain model

说明：  用于MATLAB来进行插值与拟合的处理，含有PPT介绍。(Used in MATLAB to carry out interpolation and fitting processing, containing PPT introduced.)

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

Demodulating a BPSK using Costas Loop