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001 978-3-642-55016-4
003 DE-He213
005 20200421111204.0
007 cr nn 008mamaa
008 140521s2014 gw | s |||| 0|eng d
020 _a9783642550164
_9978-3-642-55016-4
024 7 _a10.1007/978-3-642-55016-4
_2doi
050 4 _aTK5102.9
050 4 _aTA1637-1638
050 4 _aTK7882.S65
072 7 _aTTBM
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aCOM073000
_2bisacsh
082 0 4 _a621.382
_223
245 1 0 _aBlind Source Separation
_h[electronic resource] :
_bAdvances in Theory, Algorithms and Applications /
_cedited by Ganesh R. Naik, Wenwu Wang.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aIX, 551 p. 189 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSignals and Communication Technology,
_x1860-4862
505 0 _aSection 1: Theory, Algorithms and Extensions Quantum independent component analysis and related statistical blind qubit uncoupling methods -- Blind source separation based on dictionary learning: a singularity-aware approach -- Performance study for complex independent component analysis -- Sub-band based- blind source separation and permutation alignment -- Frequency domain blind source separation based on independent vector analysis with a multivariate Gaussian source prior -- Sparse component analysis: a general framework for linear or nonlinear blind unmixing of signals or images -- Underdetermined audio source separation using Laplacian mixture modelling -- Itakura-Saito nonnegative matrix two-dimensional factorizations for blind single channel audio separation -- Source localisation and tracking: a maximum a posterior based approach -- Section 2: Applications Statistical analysis and evaluation of blind speech extraction algorithms -- Speech separation and extraction by combining super directive beam forming and blind source separation -- On the ideal ratio mask as the goal of computational auditory scene analysis -- Monaural speech enhancement based on multi-threshold masking -- REPET for background/foreground separation -- Non-negative matrix factorization sparse coding strategy for cochlear implants -- Exploratory analysis of brain with ICA -- Supervised normalisation of large-scale omic datasets using blind source separation -- FebICA: feedback independent component analysis for complex domain source separation of communication signals -- Semi-blind functional source separation algorithm from non-invasive electrophysiology to neuroimaging.
520 _aBlind Source Separation intends to report the new results of the efforts on the study of Blind Source Separation (BSS). The book collects novel research ideas and some training in BSS, independent component analysis (ICA), artificial intelligence and signal processing applications. Furthermore, the research results previously scattered in many journals and conferences worldwide are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers, R&D engineers and graduate students in computer science and electronics who wish to learn the core principles, methods, algorithms, and applications of BSS. Dr. Ganesh R. Naik works at University of Technology, Sydney, Australia; Dr. Wenwu Wang works at University of Surrey, UK.
650 0 _aEngineering.
650 0 _aComputer graphics.
650 0 _aComputer mathematics.
650 0 _aComputational intelligence.
650 0 _aBiomedical engineering.
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aComputational Intelligence.
650 2 4 _aBiomedical Engineering.
650 2 4 _aComputational Mathematics and Numerical Analysis.
700 1 _aNaik, Ganesh R.
_eeditor.
700 1 _aWang, Wenwu.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642550157
830 0 _aSignals and Communication Technology,
_x1860-4862
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-55016-4
912 _aZDB-2-ENG
942 _cEBK
999 _c54046
_d54046