Excitable-media

平面波展开法求解二维光子晶体能带结构源程序(Two-dimensional plane wave expansion method to photonic crystal band structure)

本段代码用于检测在雷达中的SMSP干扰，为后续的干扰抑制提供先验信息(This Code is used to detect SMSP jamming)

Alamouti and Maximal-Ratio Combining comparison

Sutton :An Introduction:Reinforcement Learning全书所有章节代码(Sutton :An Introduction:Reinforcement Learning，all chapter all codes)

selected matlab codes for numerical analysis numerical differentiation and root finding. Euler anf Ronge Kotta

采用10阵元的阵元间距为1/2波长的均匀线阵，估计2个不相干的信号源的波打方向。其中样本数为100，S/N分别为10dB，20dB。信号源来自-10°和40°。程序里面包含用MUSIC,RootMUSIC，ESPRIT,MVDR,F-SAPES算法实现的DOA估计(A 10-element array element spacing of 1/2 wavelength of the uniform linear array, it is estimated that two unrelated source wave hit direction. Wherein the number of samples is 100, S/N of 10dB, 20dB, respectively. Source from-10 and 40. DOA estimation program inside contains MUSIC, RootMUSIC, ESPRIT, MVDR, F-SAPES algorithm implementation)

snake为从网上下载的程序包,该程序包内容较全，涉及了snake的很多改进形式，可以参考。(A good program bag of snake)

电力线通信是现在家用通信的一种，在PLC通信的研究中，对信道的研究是至关重要的。改代码主要包括多径信道和噪声模型matlab代码，是目前最常用的模型。(Power line communication is now a kind of home communication, in the PLC communication research, the channel research is essential. Change the code mainly include multipath channel and noise model matlab code, is the most commonly used model.)

特徵粹取（feature extraction）是特徵選取（feature selection）的延伸，簡單地說，我們希望將資料群由高維度的空間中投影到低維度的空間，因此，我們必須找出一組基底向量（base）來進行線性座標轉換，使得轉換後的座標，能夠符合某一些特性。 我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類；而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類，甚至連該劃分成幾類都不知道的情況。對於這兩大類資料，可以分述如下： 對於「不包含類別資訊」的資料，我們通常使用「主要分量分析」（principal component analysis），簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )

qpsk signal generator and filter