Kalerfilter

matlab神经网络工具箱很好的东东分享下(matlab neural network toolbox, under a good Dongdong Share)

自适应算法LMS和rls的MATLAB仿真性能分析(LMS adaptive algorithm and MATLAB simulation performance analysis rls)

振动消噪代码，包括白噪声、有色噪声、粉色噪声的生成；相关系数法消噪、小波软阈值消噪、互相关系数消噪三种方法对比。(Gaussian white noise, Gaussian colored noise and pink noise have been processed to verify the validity of the algorithm. we also compared the proposed method with the correlation coefficient method and wavelet soft threshold noise reduction methods. the results show that the proposed method can be performed on a variety of signal noise reduction, which is better than the correlation coefficient method and wavelet soft threshold noise reduction methods.)

说明：  ：本文通过对伽尔顿板实验的过程及结果与混沌运动的特征进行比较分析，说明伽尔顿板实验不仅 是使人们认识多粒子无规则运动中粒子遵循统计规律的典型，还可以作为说明混沌运动特征的很 好示例。(: Based on the Jiaer Dun board process and results of experiments with the chaotic motion of a comparative analysis of the characteristics that Mingjiaerdun plate test is not only to create awareness of multi-particle random motion of particles follows the typical statistical law, but also as an illustration Characteristics of a good example of chaotic motion.)

burg变换，zak变换等，利用MATLAB实现，可用本程序实现对某个给定信号做对应的变换，效果良好，程序中还有关于误差的分析(burg transformation, zak transform using MATLAB to achieve, and the corresponding signal corresponding to do, transform, to good effect, as well as analysis of program errors)

文件包含现代信号处理的常用算法的matlab源代码(Document contains commonly used in modern signal processing algorithm matlab source code)

风云3号卫星MERSI近红外波段分成4类的MATLAB程序(FY-3 satellite MERSI near-infrared bands MATLAB program divided into four categories)

说明：  基于SVD的主量提取的人脸识别的matlab源码(based on the SVD Major Face recognition from the Matlab FOSS)

：提出一种基于独立成分分析（ICA）和位隙动态分组技术的超高频（UHF）射频识别（RFID）多标签防碰撞算法。利用ICA 算法实现多目标的同时识别，利用动态位隙标签分组保证阅读器同时读取的标签数少于或等 于其天线数，从而使ICA 工作于非欠定状态(A novel ultra high frequency (UHF) radio frequency identification（RFID）anti-collision algorithm based on independent components analysis (ICA) and dynamic bit-slot grouping technology was proposed. The ICA algorithm was used for identifying several tags simultaneously. The dynamic bit-slot tags grouping technology was used for ensuring the number of tags read by a reader at the same time was less than or equal to its antennas’ number, and enabling the ICA wouldn’t work in an underdetermined state. Theoretical analysis and simulated experimental results show that the tags identification rate of the proposed algorithm is far more than that of traditional stochastic or deterministic TDMA RFID anti-collision algorithms.)

function to simulate the Ipv=f(Vpv)