PD

FASTICA_2.5 ,独立主成分分析(FASTICA_2.5, independent principal component analysis)

计算圆阵方向图，可任意设置阵元个数和信号频率；并汇出三维图、二维方向图以及等高线图(Calculating circular array pattern can be arbitrarily set the number of array elements and signal frequency and export three-dimensional map, two-dimensional pattern and contour plots)

simulink中自己搭建的永磁同步电机模型，在相同参数下与系统自带的模型仿真对比，其输出波形完全一致，说明搭建的模型正确(Simulink u4E2D u81EA u5DF1 u642D u5ED u5ED u7EF0 u7EF0 u7R0 U81EA u5E26 u7A1 u6A1 u5782 u5R2 u5B09 u5B09 u0B09 U6A21 u578B u6B63 u786E)

使用统计中值法，获取背景图像。简单易懂，希望对大家有帮助。(Using the statistical value method, to obtain the background image. Easy to understand, we hope to help.)

The source code is about motion estimation algorithm for FRUC using ARPS method

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 " )

基于matlab的直驱式风力发电机的仿真( simulation of direct drive wind turbines Based on the matlab)

运用MCA算法，进行图像的分离，通过稀疏表示的K-SVD算法，将图像分为卡通和纹理部分(The MCA algorithm is used to separate the images. The sparse representation of the K-SVD algorithm is used to separate the images into cartoons and textures)

OFDM-BPSK仿真 OFDM在BPSK调制下的误码率仿真(OFDM fading with BPSK the simulation of OFDM-BPSK)

a matlab file to develop models for underwater acoustic communication networks