Titlebook: Linear Prediction Theory; A Mathematical Basis Peter Strobach Book 1990 Springer-Verlag Berlin Heidelberg 1990 Signal.Signal Processing.alg

拿著錫

書目名稱Linear Prediction Theory影響因子(影響力)




書目名稱Linear Prediction Theory影響因子(影響力)學(xué)科排名




書目名稱Linear Prediction Theory網(wǎng)絡(luò)公開度




書目名稱Linear Prediction Theory網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Linear Prediction Theory被引頻次




書目名稱Linear Prediction Theory被引頻次學(xué)科排名




書目名稱Linear Prediction Theory年度引用




書目名稱Linear Prediction Theory年度引用學(xué)科排名




書目名稱Linear Prediction Theory讀者反饋




書目名稱Linear Prediction Theory讀者反饋學(xué)科排名

闡明

Linear Prediction Theory978-3-642-75206-3Series ISSN 0720-678X

吹牛大王

Springer Series in Information Scienceshttp://image.papertrans.cn/l/image/586380.jpg

言外之意

https://doi.org/10.1007/978-3-642-75206-3Signal; Signal Processing; algorithm; algorithms; communication; computer science; control systems; geophys

類人猿

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].

磨碎

繁重

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

過份艷麗

abracadabra

Airtight

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