Ica1

matlab Code for LCL filter design Algorithem

多视图鉴别分析的matlab代码，该代码对应的论文为：2015年PAMI上发表的《Multi-view Discriminant Analysis》(This is the matlab code of the Multi-view Discriminant Analysis (MvDA) algorithm)

target tracking The CV and CA models can be used to model the distance between front and host vehicles, but we don’t know when a specific model should be used. The interacting multiple model (IMM) estimator [1] is an algorithm which can be used to handle such case. In IMM algorithm, at time k the previous estimates from the multiple models are mixed based on the mixing probabilities to generate different mixed initial conditions for different filters.

Matlab和C++混合编程，做出sin x图形(combination of matlab and C++)

小波工具箱的应用基础 395 16.1 一维小波分析的应用 395 16.1.1 小波分解在普通信号分析中的应用 395 16.1.2 小波变换在信号特征检测中的应用 411 16.2 二维小波分析的应用 417 16.2.1 小波分析在图像平滑中的应用 417 16.2.2 小波分析在图像增强中的应用 418 16.2.3 小波分析在图像融合中的应用 420 16.3 小波包分析的应用 422 16.3.1 小波包在信号时频分析中的应用 423 16.3.2 小波包在图像边缘检测中的应用 429(toolbox of 16.1 basis of a 395-dimensional wavelet analysis of 395 small 16.1.1 Decomposition of the ordinary wave signal analysis of 395 16.1.2 wavelet transform in signal detection of 41 a 16.2 2D wavelet analysis of 417 16.2.1 wavelet analysis in image smoothing of 417 1 6.2.2 wavelet analysis in image enhancement of 418 16.2.3 wavelet analysis in Image Fusion System 420 16.3 wavelet packet analysis of wavelet packet Entry 422 in the signal frequency analysis of 42 3 16.3.2 wavelet packet in Edge Detection of 429)

同步小波变换的MATLAB程序和应用，还有最新的关于同步小波的文章(Synchronous wavelet transform MATLAB programs and applications, as well as the latest articles on synchronous wavelet)

实现对肌电信号的预处理 主要是设计了两个滤波器，高通滤波器和500Hz低通滤波器，带宽可调(emg filtering )

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)

normalized threshold vs the probability of false alarm in radar system.

mimo的相关书籍，主要对mimo技术所涉及的一些基础理论进行概括和总结。方便读者阅读。(mimo' s books, mainly on mimo technology involved some of the basic theory Summary and Conclusion. The convenience of readers.)