Attachments_2014114

《MATLAB程序设计教程》也是一本学习MATLAB编程的书籍(MATLAB programming tutorial)

v-blast4x4_dast程序，用于mimo信道闭环系统中，加入旋转矩阵贺信道dast编码,用于提高信道容量和误比特性能(v-blast4x4_dast procedures for MIMO channel closed-loop system, by adding rotation matrix Road DAST letter codes, used to improve channel capacity and BER performance)

函数逼近与曲线（面）拟合 种插值方法 数值微分 解线性方程组的直接方法(Function approximation and curve (surface) fitting kinds of interpolation method, numerical micro-decomposition of the direct method of linear equations)

说明：  ＷＡＡＳ　ｍａｔｌａｂ仿真程序 ｍａａｓｔ(WAAS matlab simulation program maast)

展示了线性、DFE、MLSE均衡器的信噪比性能，并通过蒙特卡罗模拟信道估计结果确定。(This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks. )

Tis is the code for constant modulus algorithm for blind equalization

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 " )

使用Matlab写的EZW算法，里面有实例 (ezw algorithm, there are examples)

2DFDTD TM波模拟仿真，采用CPML边界条件(2DFDTD TM wave simulation, the boundary conditions used CPML)

coullet混沌系统，包含DFC控制和绝对值控制(coullet chaotic system, including control and absolute control of DFC)