CS

LLR caclulation for matlab

显著性检测，PQFT算法matlab实现(Silency detection, PQFT algorithm matlab implementation)

用于填冲图片中的空白域，设定一个种子点，然后从种子点开始填冲(Used to fill in the blank fields punch picture, set a seed point, and then rushed from the seeds begin to fill)

满足分数布朗运动的资产价格的走势的模拟程序。(Value s Simulation)

AIEM模型建立，用于计算表面后向散射系数(The AIEM model is established for calculating the surface backscattering coefficients)

Cyclostaionary spectrum estimation by FAM method

机器人运动学和动力学模型，六自由度的，界面设计以及轨迹规划等功能(Robot kinematics and dynamics models, six degrees of freedom, interface design, and trajectory planning, etc.)

交错网格SIMPLE算法数值模拟顶盖驱动流(Staggered grid SIMPLE algorithm for simulation of roof-driven flow)

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)

实现系统的开怀特性检测 matlab中用于UI6008数据采集卡的数据采集以及输出的程序 使用方便快捷(Easy to use and quick detection matlab laugh features for UI6008 data acquisition card for data acquisition and output procedures)