Experimental-Software-Signal-System

常用数值算法 包括c++，c，MATLAB，等等(Numerical algorithm used includes c++, c, MATLAB, etc.)

一个用matlab写的跳频通信系统仿真，信道采用的是高斯白噪声信道(a frequency-hopped communication system, simulated by matlab )

高级图像显示，利用Matlab原程实现，运用面广，可以显著提高图像的质量(High image shows that the use of Matlab realize the original way, using a wide range, can significantly improve image quality)

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

Permission is hereby granted, free of charge, to any person obtaining a copy of this Software without restriction, subject to the following conditions: The above copyright notice and this permission notice should be included in all copies or substantial portions of the Software. The Software is provided "as is," without warranty of any kind. Created: May 2, 2007 Last modified: Jan. 8, 2009

说明：  有关 信道编译码的源代码等等等 (The relevant channel codec, such as source code, etc.)

ARMA模型的matlab代码，详细，有注释(ARMA model matlab code, detailed, annotated)

高斯模拟污染物扩散，数据为深圳2012年东风的，数学建模题(Gauss simulation of pollutant diffusion, data for 2012 Shenzhen Dongfeng, mathematical modeling problem)

复杂网络领域大神Dorogovstev著作，evolution networks： biological net to INTERNET and WWW(evolution networks： biological net to WWW)

说明：  蒙特卡洛计算的程序，可用于电力系统中的潮流优化，并且可获得很好的结果。(The program of Monte Carlo calculation can be used for power flow optimization in power system, and good results can be obtained.)