00806791

Poincare Sphere Plot of Polarimetry Stokes Vectors

RHis mfiles is for optimlal conr=trol ddassdddd

MATLAB S.J.Chapman《MATLAB编程》中文版修正版(MATLAB SJChapman )

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

EXAMPLE OF ADAPTIVE FUZZY CONTROLLER

算法优化非常好，几乎没有循环，FMCW调频连续波雷达的测距测角，基于matlab GUI界面设计。( Algorithm optimization is very good, almost no circulation, FMCW frequency modulated continuous wave radar range and angular measurements, Based on matlab GUI interface design.)

C code version of Matlab function fir1.m (lowpass only)

simulink model to demodulate fm signal

FirstData visa/mc/amex Specifications for 2010

用matlab进行信号与系统分析 兼容模式 (Use MATLAB for signal and system analysis)