1990
DOI: 10.1016/0016-0032(90)90021-a
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Recursive solution and stability conditions for 2-D least-squares modeling and stabilization problems

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“…We consider a close-neighbor ordering in the NSHP discussed in [13], [15], [26]. Let g 0 = {(0, 0)}, and…”
Section: Half-circle Rosmentioning
confidence: 99%
See 1 more Smart Citation
“…We consider a close-neighbor ordering in the NSHP discussed in [13], [15], [26]. Let g 0 = {(0, 0)}, and…”
Section: Half-circle Rosmentioning
confidence: 99%
“…There exist a lot of difficulties in mathematical and statistical analysis of a noncausal 2-D AR process due to its noncausality. Some least squares (LS) estimators and algorithms are proposed in [13], [14], [15], [16]. An LS estimator of an AR coefficient of a noncausal AR model is statistically inferior.…”
Section: Introductionmentioning
confidence: 99%