shixi1

双载波的matlab解调程序，两个载波频率时的，频率是2M的解调，解调输出中幅度和相位均从第四个开始重复输入序列；

考虑雨衰 阴影 和多径影响，基于互功率谱的时延估计，三相光伏逆变并网的仿真，重要参数的提取，车牌识别定位程序的部分功能，分析了该信号的时域、频域、倒谱，循环谱等,快速扩展随机生成树算法。( Consider shadow rain attenuation and multipath effects Based on the time delay estimation of power spectrum, Three-phase photovoltaic inverter and network simulation, Extract important parameters, Part of the license plate recognition locator feature, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Rapid expansion of random spanning tree algorithm.)

MATLAB有关通信方面的仿真，十分的基础但很有用(MATLAB simulation of the communications, but a very useful basis)

PPP is used in frequency division duplex to solve Interference Issue. a Poisson point process is a particular kind of random process by which a set of isolated points are scattered about a line or a plane or a three-dimensional space or any of various other sorts of spaces. Often the term Poisson process is used to mean a Poisson point process in which the space in which isolated points are randomly scattered is a line, which in many applications represents time.

SNACC1.7　C++的动态库，可以做BER　PER编码的库(SNACC1.7 C++ Of dynamic libraries, you can make BER PER encoding library)

Write a MATLAB function lls_rd.m (rd stands for rank de… cient) to solve the LLS problem

ACCV的一篇论文以及源代码，不是我写的只是搬运到这里而已，具体请访问论文中作者的网页。改进Harris的角点检测，主要改进在：1、是在加权模板选择了各向异性的模板代替了各向同性的高斯模板；2、选择使用多尺度滤波器对图像进行处理，使算法具有一定的多尺度特性。(This is paper with code,which published on ACCV.I m not the author of this paper.If want to know more,please vistor the home page of the author.Major improvements of this paper is focus on: 1 Using a bilateral filters insteal of the isotropic Gaussian kernel for weighted template selection 2、Using Multi-Scale filter which make the algorithm can detect the multi-scale corner in the image)

介绍星座图的产生极其原理，可以加深对星座图的理解(introduce Constellation)

切比雪夫加权波束形成算法，与最优阵列信号处理书籍配套。(Cut Chebyshev weighted beam forming algorithm, and the optimal array signal processing books matching.)

Multiple Source EM Wave propagation modeling via Finite Differences