transformadas

ue2 - prostownik z dioda zenera obliczenia

说明：  用matlab进行数字信号处理，适合新手从入门到精通的学习。(Digital signal processing using matlab for beginners from entry to master learning.)

使用低通滤波器，观察原始图像与以图形形式显示的高斯低通滤波器的差别，显示频谱和处理后的图像！(Using low-pass filter to observe the original image and displayed in graphical form of the difference between the Gaussian low pass filter, display the spectrum and the processed image!)

《MATLAB神经网络30个案例分析》中的第20个例子，案例20 神经网络变量筛选—基于BP的神经网络变量筛选。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 20 cases of 20 neural network variable selection- based on BP neural network of variable selection. Hope to have certain help to everybody!)

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 " )

matlab antenna impedance sine integral cos integral elliot

250KV line simulation program

永磁无刷电机MATLAB仿真模型，验证成功(Permanent magnet brushless motor MATLAB simulation model proved to be successful)

在matlab7.0下沒問題，有性趣的人可以拿回去參考參考。(Matlab7.0 no problem in the next, there are interested people can go back and refer to the reference holding.)

一个matlab环境下编制的使用很方便的多目标程序(The preparation of a matlab environment is very convenient to use multi-objective procedure)