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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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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… 
Highly Cited
2001
Highly Cited
2001
Facile successive insertion of carbon monoxide and strained alkenes has been observed for both neutral Pd(R)X(Ar-BIAN) and… 
Highly Cited
1997
Highly Cited
1997
Clastic sedimentary deposits and associated volcanic rocks record the progress of Tertiary extension in the Mexican state of… 
Highly Cited
1993
Highly Cited
1993
The A(2Σ+)–X(2Π) transition of SH isolated in Ar and Kr matrices is studied by laser induced fluorescence spectroscopy. The (0,0… 
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
1989
Highly Cited
1989
Recursive estimation algorithms are derived for moving-average and autoregressive moving-average processes. These algorithms can… 
Highly Cited
1989
Highly Cited
1989
A method is given for unsupervised segmentation and classification of 1D and 2D signals. The method is based on a self-organizing… 
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…