STK-training-tutorial

超宽带程序示范程序\M-PSK4psk.rar(Ultra-wideband Program Files demonstration program M-PSK 4psk.rar)

矩量法求半波振子天线的阻抗,与理论值偏差较小，比较精确(mom to calculate the z of the antenna)

电机矢量控制仿真，包含自建的异步电机模型，svpwm模型等(modle of motor vector control)

紫外光通信系统路劲损失的简化模型仿真，简单好用(A simplified model of UV communication system simulation losses Road King, easy to use)

jpeg compression , use DCT, Zigzag, Quantization,IDCT, InvZigzag, huffman to do the compression with matlab

说明：  掌握几种简单的数值解法，包括Euler方法、R-K方法、线性多步法 (shu zhi fen xi zha chi )

这是5个有关Kinect face recognition的paper，介绍了kinect的相关知识和人脸识别的一些知识，很有帮助。(face recognition with 3D kinect.)

简单实用的基于偶排列的多相滤波吗matlab代码(Simple and practical, based on the even of a polyphase filter matlab code)

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. )

a new optimization algorithm ,,,, really helpful