stationary random process

基本解釋

The distribution of inhomogeneous thermo-emf along the copper-iron thermoelectrode is described as a stationary ergodic random process.
不均勻熱電勢(shì)沿銅鐵合金熱電極長(zhǎng)度上的分布可描述為各態(tài)歷經(jīng)的平穩(wěn)的隨機(jī)過程。
In accordance with the information of the spectral density function of the stationary random process, a method for simulating the process by using triangle progression model is introduced.
本文介紹了一種以平穩(wěn)隨機(jī)過程的譜密度函數(shù)為信息，按三角級(jí)數(shù)模型模擬平穩(wěn)正態(tài)隨機(jī)過程的方法；
The dynamic measurement is a non stationary random process varying with the measuring time. The dynamic measuring data have the characteristics of time variation, randomness, correlation and dynamic.
動(dòng)態(tài)測(cè)量是隨測(cè)量時(shí)間而變化的非平穩(wěn)隨機(jī)過程，動(dòng)態(tài)測(cè)量數(shù)據(jù)具有時(shí)變性、隨機(jī)性、相關(guān)性和動(dòng)態(tài)性四個(gè)基本特性。

隨機(jī)過程
Kalman filter algorithm has the advantage of using state-space description of the system which is recursive form. With small amount of data storage, not only it can handle stationary stochastic processes, but also can handle multi-dimensional and non-stationary random process.
卡爾曼濾波算法的優(yōu)點(diǎn)是采用狀態(tài)空間方法描述系統(tǒng)，采用遞推形式，數(shù)據(jù)存儲(chǔ)量小，不僅可以處理平穩(wěn)隨機(jī)過程，也可以處理多維和非平穩(wěn)隨機(jī)過程。
平穩(wěn)隨機(jī)過程
固定隨機(jī)過程
穩(wěn)態(tài)隨機(jī)過程