ldamatlab

5种Swerling目标起伏模型计算检测概率的程序(Probability of Detection Calculation for Detection of Swerling Ⅰ~V Targets)

椭球拟合程序源代码，用于基于最小二乘法德椭球拟合(Ellipsoid fitting program source code for France, Germany, based on least squares fitting ellipsoid )

考虑饱和凸极补偿的永磁同步电动机转子位置估计(Consider the position of permanent magnet synchronous motor rotor saliency compensation estimated saturation)

解决大规模限量弧路由的程序，本程序采用了PAM聚类的方法。(To solve large-scale limited arc routing procedures, the program uses a PAM clustering method.)

Bandpass filter simulation analog communication

本程序用于实现RLS算法，内附例题 (RLS algorithm)

efficient LBP Local binary patterns (LBP) is a type of feature used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed in 1990.[1][2] LBP was first described in 1994.[3][4] It has since been found to be a powerful feature for texture classification it has further been determined that when LBP is combined with the Histogram of oriented gradients (HOG) descriptor, it improves the detection performance considerably on some dataset

支持向量机的matlab实现代码，能实现支持向量机的建模，与识别(Support vector machine matlab code to achieve the support vector machine modeling, and recognition)

Texture classifier using wavelet

pplane8 is an interactive tool for studying planar autonomous systems of differential equations. When pplane8 is executed, a pplane8 Setup window is opened. The user may enter the differential equation and specify a display window using the interactive controls in the Setup window. Up to 4 parameters may also be specified. In addition the user is give a choice of the type of field displayed and the number of field points.