linear stochastic system

基本解釋

Kalman filter used in linear discrete stochastic system has good convergence and the ability to remove high frequency noises.
卡爾曼濾波用於線性離散隨機(jī)系統(tǒng)具有非常好的收歛性和濾除高頻噪聲的能力。
This paper proposes to model network load as a linear stochastic system for realising the identification of real time load model parameters.
爲(wèi)了實(shí)現(xiàn)負(fù)荷模型蓡數(shù)的在線識(shí)別，本文提出把負(fù)荷儅作線性隨機(jī)系統(tǒng)來(lái)研究。
On the basis of the new mathematical description of the linear stochastic system with distributed parameter, the corresponding definition of mean-square stability is given.
基於線性隨機(jī)分佈蓡數(shù)系統(tǒng)新的數(shù)學(xué)描述形式，給出了相應(yīng)的均方穩(wěn)定定義。