SIGMAP06

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)

说明：  波束形成自适应算法——样本相关矩阵直接求逆算法(SMI)(Beamforming adaptive algorithm- the sample correlation matrix inversion algorithm directly (SMI))

能够很准确的计算单输入单输出系统的信噪比。(Very accurate calculation of the SNR of the single-input single-output system.)

windows media format 9 samples for filter(nine samples for filter)

一个完整的无线通信系统物理层的传输方案，多径信道matlab编码。(A complete physical layer of wireless communication system transmission scheme, encoding matlab multipath channel.)

histogram of each part from RGB image

本例是运用牛顿拉夫逊法求解电力系统潮流的程序(newton，s method of power flow)

用于多通道滤波器组实现完全重构,主要应用于图象处理(For multi-channel filter banks achieve perfect reconstruction, mainly used in image processing)

set_white,matlab一算算法最短路径的选取，最详细的程序。(set_white matlab count shortest path selection algorithm, the most detailed procedures.)

共轭梯度法和Gauss-Seidel迭代法的matlab实现，实例操作，取得了良好的效果(Conjugate gradient method and the Gauss-Seidel iteration method matlab implementation, instance operations, and achieved good results )