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Unervised Adaptive Filtering, Blind Source Separation
 
 

Unervised Adaptive Filtering, Blind Source Separation [Hardcover]

Simon Haykin
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Inside This Book (Learn More)
First Sentence
In the signal-processing, communications, and control literature, the term filter is commonly used to refer to a device or algorithm that is applied to a set of noisy data in order to extract a prescribed quantity of interest. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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1994  1995  1996  1997  1998  adaptation  adaptive  al  algorithm  amari  analysis  applications  approach  between  blind  cardoso  case  channel  cichocki  components  condition  contrast  cost  data  deconvolution  defined  delays  density  different  distribution  entropy  eq  estimate  estimation  et  example  fig  figure  filter  fir  first  form  function  gaussian  general  given  gradient  ica  ieee  independent  information  learning  linear  manifold  matrix  may  measure  method  mixing  mixtures  model  multichannel  network  neural  noise  nonlinear  number  order  output  parameter  pdf  point  pp  problem  proc  processing  properties  results  rule  samples  section  see  separation  set  signal  source  space  statistics  system  terms  thus  time  tion  trans  two  use  used  value  vector  vol 
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