LMSduixiao

improved weighted bit-flipping algorithm in matlab m-file

智能优化算法：蚁群算法的程序matlab 方便初学者学习(Intelligent optimization algorithms: ant colony algorithm to facilitate the procedures for matlab beginners to learn)

针对一个混和正弦波信号，设计FIR滤波器，给出了三种设计方法：凯塞窗函数设计带通滤波器法、FDATool设计法实现凯塞窗函数滤波器的低通、带通和高通三种滤波效果以及椭圆低通滤波器的设计法。利用matlab软件实现。(Sine wave for a mixed signal design FIR filter, gives the three design methods: Kaiser window function design band-pass filter method, the FDATool Design Kaiser window function low-pass filter, band-pass and high passthree filter effects, and elliptic low-pass filter design method. Using matlab software.)

induction motor accelerating

增广矩阵最小二乘法，用于处理数学建模及系统辨识中的一些问题(Augmented matrix least-squares method for handling mathematical modeling and system identification problems)

简单的直线电机PID，实现直线电机的PID跟踪，适合相互学者掌握(Simple linear motor PID, PID linear motor track to achieve, for scholars to master each other)

灰度图像的膨胀与腐蚀函数matlab源代码(gray image dilate and erode )

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. )

冈萨雷斯数字图像处理配套第六章matlab例程，代码里面有详细解释，适合初学者同步学习。(Gonzalez digital image processing Chapter 6 of the supporting Matlab routines, the code inside the detailed explanation of the synchronous learning for beginners.)

图像处理 灰度化，图像增强，边缘检测，几何特征检测(Image processing gray, image enhancement, edge detection, geometric feature detection)