Independent Component Analysis and Blind Signal Separation

Independent Component Analysis and Blind Signal Separation

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tionsalso, apartfromsignalprocessing, withother?eldssuchasstatisticsandarti?cial neuralnetworks. As long as we can ?nd a system that emits signals propagated through a mean, andthosesignalsarereceivedbyasetofsensorsandthereisaninterestinrecovering the originalsources, we have a potential?eld ofapplication forBSS and ICA. Inside thatwiderangeofapplicationswecan?nd, forinstance:noisereductionapplications, biomedicalapplications, audiosystems, telecommunications, andmanyothers. This volume comes out just 20 years after the ?rst contributionsin ICA and BSS 1 appeared . Thereinafter, the numberof research groupsworking in ICA and BSS has been constantly growing, so that nowadays we can estimate that far more than 100 groupsareresearchinginthese?elds. Asproofoftherecognitionamongthescienti?ccommunityofICAandBSSdev- opmentstherehavebeennumerousspecialsessionsandspecialissuesinseveralwell- 1 J.Herault, B.Ans, a€œCircuits neuronaux An synapses modi?ables: dAccodage de messages c- posites para apprentissage non supervisea€, C.R. de l'AcadAcmie des Sciences, vol. 299, no. III-13, pp.525a€“528, 1984.Hence, we endow the method with adaptive properties and extend the use of BSS to complex symbols. ... 1 Introduction Orthogonal Frequency Division Multiplexing (OFDM) [1] has attracted the attention of the digital communications community as it has ... of the last generation systems such as the digital audio broadcast (DAB), the WiFi IEEE 802.11a or the Asynchronous Digital Subscriber Line (ADSL).


Title:Independent Component Analysis and Blind Signal Separation
Author: Carlos G. Puntonet, Alberto Prieto
Publisher:Springer Science & Business Media - 2004-09-17
ISBN-13:

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