SimpleColorDetection

Exercise about modelling and identification system

unbalanced load analysis

分析并实现了奇异谱斜率的方法，编程实现了时域信号的检测。(And to achieve a singular spectrum analysis method of slope, programming of the time-domain signal detection.)

车流量的matlab神经网络预测及其优化源代码(matlab code)

th_select program used in the denoising muticopie transformed images via wavelet

this is simulation de mas

The Principles of Software QRS Detection

支持向量机的方法在matlAB中实现，包括回归、以及分类等模块。此外，还有参数寻优的算法。(Support vector machine method is implemented in matlAB, including regression and classification module. In addition, parameter optimization algorithms)

用于处理各种丢失数据的matlab函数。(various functions for handling missing values.)

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 " )