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Autoregressive model

Known as: Autoregressive, AR process, Stochastic term 
In statistics and signal processing, an autoregressive (AR) model is a representation of a type of random process; as such, it describes certain time… 
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Papers overview

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2009
2009
The photocatalytic degradation of lissamine fast yellow has been carried out in the aqueous suspension of ZnO under artificial… 
2007
2007
Abstract —This article proposes a method for modeling andclassification apply on the uterine contractions in the electromyo-gram… 
2006
2006
We derive the fading number of stationary and ergodic (not necessarily Gaussian) single-input multiple-output (SIMO) fading… 
Highly Cited
2003
Highly Cited
2003
The miniaturization of GSM handsets creates nonlinear acoustical echoes between microphones and loudspeakers when the signal… 
1993
1993
Considers the problem of estimating the parameters of a stable, scalar ARMA (p, q) signal model (causal or noncausal, minimum… 
Highly Cited
1991
Highly Cited
1991
The author presents a fast algorithm for extended lapped transform (ELT), which is a modulated lapped transform (MLT) with longer… 
Highly Cited
1986
Highly Cited
1986
The concept of fast KL transform coding introduced earlier [7], [8] for first-order Markov processes and certain random fields… 
1982
1982
A spectral estimation technique is presented for autoregressive moving-average (ARMA) processes. The technique is based on a…