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標(biāo)題: Titlebook: Linear Prediction Theory; A Mathematical Basis Peter Strobach Book 1990 Springer-Verlag Berlin Heidelberg 1990 Signal.Signal Processing.alg [打印本頁]

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書目名稱Linear Prediction Theory影響因子(影響力)




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書目名稱Linear Prediction Theory被引頻次




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作者: 闡明    時(shí)間: 2025-3-21 20:31
Linear Prediction Theory978-3-642-75206-3Series ISSN 0720-678X
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Springer Series in Information Scienceshttp://image.papertrans.cn/l/image/586380.jpg
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https://doi.org/10.1007/978-3-642-75206-3Signal; Signal Processing; algorithm; algorithms; communication; computer science; control systems; geophys
作者: 類人猿    時(shí)間: 2025-3-22 09:00
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 [3.1–4].
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作者: 繁重    時(shí)間: 2025-3-22 20:48
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
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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
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作者: 騷動    時(shí)間: 2025-3-23 15:58
Levinson-Type Ladder Algorithms,8). Clearly, Burg’s technique is closely related to the explicit ladder algorithm of Table 6.1. Like the explicit ladder algorithm, Burg’s technique requires the . calculation of residual signal vectors. Such procedures are known to have poor numerical properties and a computational complexity that
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作者: 猛擊    時(shí)間: 2025-3-23 22:25
Fast Recursive Least-Squares Ladder Algorithms,ype of algorithm, the central problem appeared to be the . updating of the covariance C.(t) according to.Two solutions to the problem (9.1) have been presented. The first approach, discussed in Chap. 7, was based on the incorporation of transversal predictor parameters as intermediate recursion vari
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Peter Strobachthe virtues sought in the diplomats by a various author in the past. The author also addresses common misconceptions about the profession, portraying diplomats not merely as privileged state representatives but as crucial actors. They play key roles in representing, protecting, and negotiating state
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Peter Strobachhat aim at a global assessment of teaching have often been used in indicator-based lesson observation. It remains unclear how reliable global assessments of entire lesson sequences are since no statements can be made about dynamic processes taking place. One approach is the State Space Grids (SSG) d
作者: 萬靈丹    時(shí)間: 2025-3-25 09:24
Peter Strobachion farmers in the country spread across ten states are engaged in cotton production and grow cotton on an area of about 11 million hectares. The major cotton producing states in the country are Maharashtra, Gujarat, Andhra Pradesh, Punjab and Tamil Nadu. Despite being one of the top most cotton cou
作者: tendinitis    時(shí)間: 2025-3-25 14:57
Peter Strobachspecifically, examining the performance of Bt cotton versus non-Bt cotton across India’s major cotton states, namely Andhra Pradesh, Gujarat, Maharashtra and Tamil Nadu, which together account for nearly 70 percent of the country’s cotton production. Major advances in biotechnology have made it poss
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Covariance Ladder Algorithms,the intermediate transversal predictor parameters are . quantities, i.e., they may attain large values, depending on the data. This makes the fixed-point implementation of Levinson type algorithms quite a difficult task.
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0720-678X e systems. When it is necessary to extract information from a random process, we are frequently faced with the problem of analyzing and solving special systems of linear equations. In the general case these systems are overdetermined and may be characterized by additional properties, such as update
作者: Gentry    時(shí)間: 2025-3-27 01:14
Book 1990 When it is necessary to extract information from a random process, we are frequently faced with the problem of analyzing and solving special systems of linear equations. In the general case these systems are overdetermined and may be characterized by additional properties, such as update and shift-
作者: 搬運(yùn)工    時(shí)間: 2025-3-27 06:16
Recursive Least-Squares Using the QR Decomposition, can exploit the recursive properties of the Normal Equations, which we have discussed, to derive recursive O(p.) or even . recursive O(p) algorithms for calculating the updated solution of the Normal Equations at consecutive time steps of observation.
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Book 1990cessor technology, which provide the means to implement linear prediction algorithms, and to operate them in real time. The practical effect is the occurrence of a new class of high-performance adaptive systems for control, communications and system identification applications. This monograph presum
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Peter Strobachpossess theoretical knowledge of the negotiation process, and have developed skills to solve complex problems in bilateral or multilateral relations. Particularly, the modern diplomat should have a comprehensive understanding of geopolitical developments and the position of their country in this con
作者: 嬉耍    時(shí)間: 2025-3-28 22:39
Peter Strobachased parameters, to test their practicability, to compare them with global assessments of entire teaching sequences, and to investigate their applicability to physics teaching. Numerical and graphical elements are added to the SSG plot. These include new relation types between the recorded indicator
作者: 代理人    時(shí)間: 2025-3-29 02:12
Peter Strobachased parameters, to test their practicability, to compare them with global assessments of entire teaching sequences, and to investigate their applicability to physics teaching. Numerical and graphical elements are added to the SSG plot. These include new relation types between the recorded indicator
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