complexPnetwork

This a matlab code that simulate the monte-carlo simulation of using 16-QAM with OFDM system under AWGN case.

Matlab基础及其应用教程，适用于初学者快速入门。(Matlab and its application tutorial for beginners to get started.)

The purpose of this tutorial is to gain familiarity with MATLAB’s Image Processing Toolbox. This tutorial does not contain all of the functions available in MATLAB. It is very useful to go to HelpMATLAB Help in the MATLAB window if you have any questions not answered by this tutorial. Many of the examples in this tutorial are modified versions of MATLAB’s help examples. The help tool is especially useful in image processing applications, since there are numerous filter examples.

用MATlabgui编写的登录密码的例程，该例程可新注册密码。并对上一版改版。(Written by MATlab gui login password routine, the routine can register a new password. And on a revised version.)

该程序求解水下声学定位中的加权平均声速计算(Solving weighted average sound velocity)

In mathematics and, in particular, functional analysis, convolution is a mathematical operation on two functions f and g, producing a third function that is typically viewed as a modified version of one of the original functions. Convolution is similar to cross-correlation. (This files includes matlab source file and report file)

对qpsk一个整体的仿真，从源信号的生成，调制，加载波，解调等，步骤清晰，与通用教材原理图逐步仿真而来(Qpsk simulation of a whole, the signal generated from a source, modulation, plus carrier demodulation step clarity, and general simulation of materials gradually from the schematic)

使用混沌与分形分析的例程，最小均方误差（MMSE）的算法，通过matlab代码，包含优化类的几个简单示例程序，包括调制，解调，信噪比计算，有较好的参考价值。( Use Chaos and fractal analysis routines, Minimum mean square error (MMSE) algorithm, By matlab code, Optimization class contains several simple sample programs, Includes the modulation, demodulation, signal to noise ratio calculation, There are good reference value.)

关于柯西分布的matlab工具包，包括概率分布函数，反函数等(On the Cauchy distribution matlab toolkit, including the probability distribution function, inverse function, etc.)

K-nearest neighbors 搜索 聚类时经常使用的一种方法 国外网站转载( The following utilities are provided: - Nearest neighbor - K-Nearest neighbors - Radius Search They al supports N-dimensions and work on double, it is possible to choose if return the distances. Here is a time comparison with a vectrized m-code: N=1000000 number of reference points Nq=100 number of query points dim=3 dimension of points k=3 number of neighbor tic [idc,dist]=BruteSearchMex(p ,qp , k ,k) MEX toc tic [idc,dist]=knnsearch(qp,p,k) VECTORIZED M-CODE toc p=rand(N,dim) qp=rand(Nq,dim) Output: Elapsed time is 0.962640 seconds. Elapsed time is 18.813100 seconds. )