UML

BPSK signal generation

16 QAM modulation for OFDM

完全自己编写的模式识别中感知器的Matlab算法实现(Complete preparation of their own pattern recognition perceptron algorithm in Matlab)

Matlab code for simulating Clayton copula, Frank copula, Gumbel copula, Gaussian copula and Student t-copula

S-G滤波器，可实现较好的噪声滤除功能。(S-G filter which can achieve better in denoising stochastic noise.)

these are matlab files in relation to RK4

5.采用概率密度比值估计的距离度量学习.rar(5.Probability density ratio is estimated using a distance metric learning.rar)

一种基于3D_ESPRIT的散射中心参数估计算法_温晓杨(A 3D-ESPRIT Method for Radar Target Scattering Centers Parameters Estimation)

Color can provide an efficient visual feature for tracking nonrigid objects in real-time. However, the color of an object can vary over time dependent on the illumination, the visual angle and the camera parameters. To handle these appearance changes a color-based target model must be adapted during temporally stable image observations. This paper presents the integration of color distributions into particle filtering and shows how these distributions can be adapted over time. A particle filter tracks several hypotheses simultaneously and weights them according to their similarity to the target model. As similarity measure between two color distributions the popular Bhattacharyya coefficient is applied. In order to update the target model to slowly varying image conditions, frames where the object is occluded or too noisy must be discarded.

its matlab code for resizing image