RLS

四旋翼飞行器入门材料，由浅入深，适合初学者(Four-rotor entry materials, Deep, suitable for beginners)

Matlab APF 基于Matlab的并联型有源滤波器的研究(Matlab APF)

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

Bottom Up Profiling shows the entire callstack backwards.

数据模型归一化，模态振动，分析了该信号的时域、频域、倒谱，循环谱等,高斯白噪声的生成程序。( Normalized data model, modal vibration, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Gaussian white noise generator.)

基于卡尔曼滤波的动态目标跟踪算法，简单实用(Kalman filter-based dynamic object tracking algorithm, simple and practical)

Finite Difference Programming for Matlab in 2D

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HOUGH变换进行图像分割，matlab实现，先进行灰度变换(HOUGH transform for image segmentation, matlab implementation, the first gray-scale transformation )

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 " )