lorenzsys

tools for processing crypto in matlab written inc c++ ebook for

分段模糊控制的仿真,具有原创性,用于直流电机的转速控制(Piecewise fuzzy control simulation, an original for DC motor speed control)

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. )

基于四叉树分解并且使用区域分离和合并的图像分割(based quadtree decomposition and the use of regional separation and integration of image segmentation)

sample to a wfs wms layer printing with customizable yaml file

Simulated Annealing Impelemtation in MATLAB

MATLAB kalman filter

TSP问题关于蚁群最优化算法的MATLAB程序(Ant colony optimization about TSP algorithm of MATLAB)

this code is for the pegasis algorithm in the wireless sensor networks.

数字信号处理中使用窗函数法设计线性相位高通FIR，性能良好(Digital signal processing using window function method to design linear phase FIR high-pass, good performance)