DSB_LC

WAVE LET PID FOR aqm

光放大器仿真能够计算出放大的信号功率以及噪声功率(optical amplifier)

说明：  Построение ROI изображения

说明：  甲醇水的精间歇馏塔模拟建模，对于精馏塔学习很有帮助。(Intermittent water methanol distillation tower simulation modeling fine, very helpful for the distillation column.)

这个程序是用来求解green function(This procedure is used to solve the green function)

衰落信道仿真 function r = rayleigh( fd, fs, Ns ) r = rayleigh(fd,fs,N) A Rayleigh fading simulator based on Clarke s Model Creates a Rayleigh random process with PSD determined by the vehicle s speed. INPUTS: fd = doppler frequency set fd = v*cos(theta)/lambda v = velocity (meters per second) lambda = carrier wavelength (meters) theta = angle w/ respect to tangent (radians). fs = sample frequency (Samples per second) Ns = number of samples of the Rayleigh fading process to produce OUTPUTS: r = row vector containing Ns samples of the Rayleigh fading process Author: Matthew C. Valenti Mobile and Portable Radio Research Group Virginia Tech For Academic Use Only (Fading channel simulation)

说明：  灰色gm11用于不确定关系的时序性的预测，比如降雨量等等(Gray gm11 timing of forecast uncertainty relation for example rainfall, etc.)

该算法是基于遗传算法跟量子遗传算法运算中两者的适应度曲线合并的程序。使用该程序能更好的对比两者的适应度以及收敛速度。(The algorithm is based on genetic algorithm computation with quantum genetic algorithm in both curves merge fitness program. Fitness contrast both to better use the program as well as the convergence rate.)

机械设计MATLAB的辅助分析资料，详细讲解了四连杆曲柄滑块等经典例子相关代码，(document of mechanical design of MATLAB。explain some examples of four connecting rod and crank slider)

说明：  波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)