System-Identification-Techniques

说明：  矩阵，尤其是分块矩阵的分解，删除，调整，可以方便数值计算，减少冗余(Matrix, in particular, block matrix decomposition, delete, adjust, easy numerical calculation, to reduce redundancy)

principal component analysis toolbox

prony算法的定阶程序，很有用的，适合搞prony拟合相关算法的研究人员参考(a precess of order deceside of prony)

Matlab7.0经典教材书籍，可用于自学或课程教材，作者为北航张志涌(Matlab textbook classic books, can be used for self-study or course materials, the author of Northern Zhang Yong)

牛顿拉夫逊法编制的潮流计算程序，很实用，是很好的学习资料(Newton-raphson method of power flow calculation program, very practical, is a very good learning materials)

说明：  此函数实现对自适应波束图的极化，这样更加方便地在极化图中看到波束图的期望方向和干扰方向(This function implementation of adaptive beamforming polarization map, so that makes it easier to see in the picture at the polarization beam map the direction and interfere with the expectations of the direction of)

主要实现的是系统在分布式管理下，在一定可靠性的条件下，系统的稳定性的判断。通过得到的计算值来估算系统的可靠性。(Mainly achieved in distributed under the management of the system, the reliability of certain conditions, the stability of the system of judgments. Obtained by calculating the value of to estimate the reliability of the system.)

eye pattern, also known as an eye diagram, is an oscilloscope display in which a digital data signal from a receiver is repetitively sampled and applied to the vertical input, while the data rate is used to trigger the horizontal sweep. It is so called because, for several types of coding, the pattern looks like a series of eyes between a pair of rails. It is an experimental tool for the evaluation of the combined effects of channel noise and intersymbol interference on the performance of a baseband pulse-transmission system. It is the synchronised superposition of all possible realisations of the signal of interest viewed within a particular signalling interval.

％ PURPOSE : Demonstrate the differences between the following filters on the same problem: ％ ％ 1) Extended Kalman Filter (EKF) ％ 2) Unscented Kalman Filter (UKF) ％ 3) Particle Filter (PF) ％ 4) PF with EKF proposal (PFEKF) ％ 5) PF with UKF proposal (PFUKF)( PURPOSE: Demonstrate the differences between the following filters on the same problem: 1) Extended Kalman Filter (EKF) 2) Unscented Kalman Filter (UKF) 3) Particle Filter (PF) 4) PF with EKF proposal ( PFEKF) 5) PF with UKF proposal (PFUKF))

非常实用的Matlab书籍，包括Matlab基础知识及Matlab实用编程(Matlab is very useful books, including basic knowledge of Matlab and Matlab programming practical)