منابع مشابه
Reduced Polynomial Order Linear Prediction - IEEE Signal Processing Letters
Reduced rank linear predictive frequency and direction-of-arrival (DOA) estimation algorithms use the singular value decomposition (SVD) to produce a noise-cleaned linear prediction vector. These algorithms then root this vector to obtain a subset of roots, whose angles contain the desired frequency or DOA information. The roots closest to the unit circle are deemed to be the "signal roots." Th...
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The Subspace-based Reduced Rank and Polynomial Order (RRPO) methods were proposed recently [1, 2, 3], which estimate a reduced order linear prediction polynomial whose roots are the desired "signal roots". In this paper, we describe how to extend the RRPO methods to include constraints involving known signal information. Simulation results indicate that by incorporating known signal information...
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A common problem that arises in adaptive filtering, autoregressive modeling, or linear prediction is the selection of an appropriate order for the underlying linear parametric model. We address this problem for linear prediction, but instead of fixing a specific model order, we develop a sequential prediction algorithm whose sequentially accumulated average squared prediction error for any boun...
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ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 1996
ISSN: 1070-9908,1558-2361
DOI: 10.1109/97.481165