KF_EKF__UKF

局部滤波器的特征提取方法，能够很好的反映图像的细节特征和纹理特征。(The characteristics of the local filter extraction method can be a good reflection of the details of image features and texture features.)

程序实现了C++和MATLAB的混合编程，对接的方法是使用Matcom组件。程序实现的功能是，绘制一个sin函数。(Program implements C++ and MATLAB mixed programming, docking method is to use Matcom components. Program' s function is to draw a sin function.)

Demonstration of the reproduction of a generalized trajectory through Gaussian Mixture Regression (GMR), when considering two independent constraints represented separately in two Gaussian Mixture Models (GMMs). Through regression, a smooth generalized trajectory satisfying the constraints encapsulated in both GMMs is extracted, with associated constraints represented as covariance matrices.

bpsk matlab simulation

无源腔的 Fox-Li迭代方法matlab实现(Passive cavity Fox-Li iteration matlab implementation)

ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。 基本思想： 在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。 (Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach. Basic idea: The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions. After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour. Literature: - Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I)

Program frft matlab code

希尔伯特黄变换之模态经验正交分解matlab实现(Modal empirical orthogonal decomposition of the Hilbert-Huang Transform matlab implementation)

说话人识别算法SVM 全套可以运行，包含端点检测，特征提取等(Speaker recognition algorithm a full set of SVM can run, contains the endpoint detection, feature extraction)

可以实现对大量数据的实时在线预测及其分类效果(The real-time online prediction and classification effect of a large number of data can be realized)