qianchui

matlab fft 傅立叶变换 matalb语言(matlabfft Fourier Transform matalb language)

文章对几种常用的基于循环前缀(CP)的最大似然同步算法进行了分析，并对其频偏估计方差进行了比较；同 时针对基于CP 的同步算法在多径衰落信道下性能较差的情况，提出了一种改进的CP 同步算法并进行了仿真，结果表明相比 于原ML 算法，文中算法在多径信道下可有效提高频偏估计性能。(】This paper does some research on multiple maximum-likelihood (ML) algorithms based on cyclic prefix (CP) and compares variances of frequency-offset estimation After the analysis of the bad performance of CP based algorithms in multi-path fading channels, an improved CP algorithm is proposed and the simulation shows that this algorithm can improve its performance effectively in multi-path fading channels.)

motor simln in matlab with reference to pmsm motor diagrams eqns and theory for better view

If you cannot open or load the old format mdl files on your latest version of simulink. You just run this file. you can open and load the old legacy format mdl files on you latest version of simulink

DFIG system, including a wind turbine, a generator, power electronic converters and power system grid are modeled. All of the control algorithms and operation modes are simulated. The active power is always controlled at maximum output while the reactive power is controlled to achieve a particular power factor or line voltage. Second, a complete DFIG wind power test bench including a wind turbine emulator is designed and built. The back-to-back converters are designed to control the DFIG. A Microchip d

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 " )

置信度传播，优先权，patch填充，结构与纹理(confidience propagation)

SOR Method for system of linear equations

很好用的osu_svm.堪比libsvm， 有疑问可以直接联系。(Good used osu_svm. Rivals libsvm, doubt can have a direct link.)

用matlab编写，包括wigner-village分布和hough变换，是将时域信号变换到时频域的方法。(this code is a time domain and frequency domain signal transformation method using matlab.It includes wigner-vill distribution and hough transformation.)