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001 978-3-540-68479-4
003 DE-He213
005 20161121231201.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540684794
_9978-3-540-68479-4
024 7 _a10.1007/978-3-540-68479-4
_2doi
050 4 _aTK7800-8360
050 4 _aTK7874-7874.9
072 7 _aTJF
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aTEC008070
_2bisacsh
082 0 4 _a621.381
_223
100 1 _aDietl, Guido K.E.
_eauthor.
245 1 0 _aLinear Estimation and Detection in Krylov Subspaces
_h[electronic resource] /
_cby Guido K.E. Dietl.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _aXX, 232 p. 94 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aFoundations in Signal Processing, Communications and Networking,
_x1863-8538 ;
_v1
505 0 _aTheory: Linear Estimation in Krylov Subspaces -- Efficient Matrix Wiener Filter Implementations -- Block Krylov Methods -- Reduced-Rank Matrix Wiener Filters in Krylov Subspaces -- Application: Iterative Multiuser Detection -- System Model for Iterative Multiuser Detection -- System Performance -- Conclusions.
520 _aThis book focuses on the foundations of linear estimation theory which is essential for effective signal processing. In its first part, it gives a comprehensive overview of several key methods like reduced-rank signal processing and Krylov subspace methods of numerical mathematics. Based on the derivation of the multistage Wiener filter in its most general form, the relationship between statistical signal processing and numerical mathematics is presented. In the second part, the theory is applied to iterative multiuser detection receivers (Turbo equalization) which are typically desired in wireless communication systems. The investigations include -exact computational complexity considerations and - performance analysis based on extrinsic information transfer charts as well as Monte-Carlo simulations.
650 0 _aEngineering.
650 0 _aComputer science
_xMathematics.
650 0 _aComputer mathematics.
650 0 _aStatistics.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aElectronics.
650 0 _aMicroelectronics.
650 1 4 _aEngineering.
650 2 4 _aElectronics and Microelectronics, Instrumentation.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aComputational Science and Engineering.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 2 4 _aMath Applications in Computer Science.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540684787
830 0 _aFoundations in Signal Processing, Communications and Networking,
_x1863-8538 ;
_v1
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-68479-4
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c509783
_d509783