arconf

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. )

微分先行PID算法Matlab仿真程序。适用于控制工程领域。(Differential forward PID algorithm Matlab simulation program. Applicable to the field of control engineering.)

This .m file is un simulation of a quantization of sine signal

dynamic voltage restorer

matlab 小波工具包，包括各种小波处理源码。非常有用！(wavelet matlab toolkit, including a variety of source wavelet processing. Very useful!)

通用最小二乘回归Matlab代码(General Least Squares Regression)(General least squares regression Matlab code (General Least Squares Regression))

MATLAB实现的高光谱图像的端元提取，可以自己下载高光谱图像，然后修改下程序就能用了。(MATLAB implementation of hyperspectral image endmember extraction of hyperspectral images can download and modify the following program can be used.)

包括完整的Turbo码编码和译码程序，可用于实验仿真和教学。主文件为一个测试文件，仅对一个Turbo码字进行译码。(The uploaded matlab files including the Turbo code encoding and decoding programs can be used for simulations and teaching. The main file is a test file, which only decodes one Turbo codeword.)

说明：  ARMA谱估计-AR参数估计的总体最小二乘法(ARMA spectral estimation-AR parameter estimation of the overall least square method)

说明：  利用LDA算法，实现数据降维。输入样本数据、原维度数和目标维度数，输出降维后数据(Data Dimension Reduction Using LDA Algorithms)