拿着锡
发表于 2025-3-21 16:26:27
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阐明
发表于 2025-3-21 20:31:19
Linear Prediction Theory978-3-642-75206-3Series ISSN 0720-678X
吹牛大王
发表于 2025-3-22 03:17:13
Springer Series in Information Scienceshttp://image.papertrans.cn/l/image/586380.jpg
言外之意
发表于 2025-3-22 08:33:35
https://doi.org/10.1007/978-3-642-75206-3Signal; Signal Processing; algorithm; algorithms; communication; computer science; control systems; geophys
类人猿
发表于 2025-3-22 09:00:48
Classical Algorithms for Symmetric Linear Systems, several other useful techniques for matrix computations which will be required throughout this book. The techniques presented here have also a wide range of applications in the field of numerical analysis .
磨碎
发表于 2025-3-22 15:16:45
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繁重
发表于 2025-3-22 20:48:32
The Linear Prediction Model,n ensemble of L independent measurements x.(t), x.(t),…, x.(t) at time step t.can be predicted by a . of previous measurements available in the data vectors .(t−1), .(t−2),…, .(t−p), where.and p denotes the .. Introducing the associated . a.(t), a.(t), …, a.(t), one can write the linear combination
过份艳丽
发表于 2025-3-22 22:05:14
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abracadabra
发表于 2025-3-23 01:43:58
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Airtight
发表于 2025-3-23 08:00:09
Recursive Least-Squares Transversal Algorithms, schemes for solving the Normal Equations in the recursive case based on the Givens reduction. This chapter is devoted to the recursive least-squares (RLS) algorithms based on a . predictor structure. Contrary to the order in this book, recursive solutions of the Normal Equations were first investig