Color-Spaces-to-other

Matlab编写的计算器，能实现普通计算器的各种功能(calculator in Matlab circumstance)

宽带CIC抽取滤波器的一种改进方法1001-0548(2012)02-0208-04(Improved Method for Wideband CIC Decimation Filters )

matlab code for mimo ofdm channel estimation using ls

基于FPGA的IIR多相滤波器设计，利用多相滤波器完成对信号的处理(FPGA-based IIR polyphase filter design)

说明：  关于ofdm的matlab文章，写的很好，很适合刚进入ofdm领域的人(Ofdm matlab on the article, well written, very suitable for people just entering the field ofdm)

说明：  利用小波分析的方法，来实现数字图像的分解(using wavelet for image)

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. )

一维数据的分形参数分析,通过功率谱函数拟合的方式，获取反映数据分形特征的参数(fractal analysis of 1d data)

engeen-g article fgdd and osvechenie

Gauss-Seidel Iteration