attachments_2011_07_01

4qam，16qam，64qam在高斯信道下的误码率仿真程序(4qam, 16qam, 64qam under Gaussian channel BER simulation program)

原理：乘同余法产生随机数来生成均匀分布、瑞利分布、正态分布，压缩包包括3个分布的Matlab源代码(Principle: multiplicative congruential method to generate random numbers to generate uniformly distributed ，Rayleigh distribution and normal distribution.This package includes three distribution of Matlab source code.)

This is a simple code and software using APIwin32 to easily help you to create simple decoder for 16SEGMENTS displayer for your application. It use the GUI to draw segments in assembly and C languages,and there is sample program in the (My displayer folder) to help anyone to use it. I built it just because I wanted to operate with a 16segments displayer. Modify the code as you want.

用批处理最速下降法训练网络，利用Matlab Script节点实现在此以对一个非线性函数的逼近作为例子来说明 (Batch steepest descent method to train the network to use Matlab script node to achieve this as an example of a nonlinear function approximation to illustrate)

自编的matlab gui小程序。功能包括：打开文件夹、在列表框中显示打开文件夹下的所有图像文件、点击列表框中图像则显示图像，并给出图像宽度高度信息在文本框中(Directed the matlab gui applet. Features include: Open the folder to display all the image files open folder in the list box, click on the image list box displays the image, the image width and height information given in the text box)

考虑一个信道失真了的脉冲x(t)，在均衡器的输入端由下式表示：x(t)=1/(1+(2t/T)^2) 其中1/T为符号率。该脉冲以2/T采样率被采样，而且用一个2K+1=11的强迫归零均衡器进行均衡。写一个Matlab程序来解这些迫零均衡器的系数，求出并画出这个迫零均衡器50个采样值的输出。(Considering a channel distortion of the pulse x (T), the input end of the equalizer is represented by the X (T) =1/ (1+ (2t/T) ^2). 1/T is a symbol rate. The pulse is sampled at the 2/T sampling rate and is balanced by a 2K+1=11 forced zero equalizer. A Matlab program is written to solve the coefficients of these zero forcing equalizers and to find out and draw the output of the 50 sampling values of the zero forcing equalizer.)

注意：刚上传的不完整，以这个为准 （在DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较）(In DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detection and MMSE Multiuser Detection Performance Comparison)

MATLAB 的例子，实现卡尔曼滤波的经典算法，非常实用，是国外著名工程师编写的。(MATLAB example, the realization of the classical Kalman filtering algorithm, a very practical, is famous engineers prepared.)

随机插值 (Random interpolation)

papers on denoising the speckle noise