LEADER 02391oam 2200457 450 001 9910299718103321 005 20190911112726.0 010 $a3-642-36104-8 024 7 $a10.1007/978-3-642-36104-3 035 $a(OCoLC)871006754 035 $a(MiFhGG)GVRL6YJA 035 $a(EXLCZ)993710000000083692 100 $a20131126d2014 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aTopological signal processing /$fMichael Robinson 205 $a1st ed. 2014. 210 1$aHeidelberg, Germany :$cSpringer,$d2014. 215 $a1 online resource (xvi, 208 pages) $cillustrations 225 1 $aMathematical Engineering,$x2192-4732 300 $a"ISSN: 2192-4732." 311 $a3-642-36103-X 320 $aIncludes bibliographical references and index. 327 $aIntroduction and informal discussion -- Parametrization -- Signals -- Detection -- Transforms -- Noise. 330 $aSignal processing is the discipline of extracting information from collections of measurements. To be effective, the measurements must be organized and then filtered, detected, or transformed to expose the desired information.  Distortions caused by uncertainty, noise, and clutter degrade the performance of practical signal processing systems. In aggressively uncertain situations, the full truth about an underlying signal cannot be known.  This book develops the theory and practice of signal processing systems for these situations that extract useful, qualitative information using the mathematics of topology -- the study of spaces under continuous transformations.  Since the collection of continuous transformations is large and varied, tools which are topologically-motivated are automatically insensitive to substantial distortion. The target audience comprises practitioners as well as researchers, but the book may also be beneficial for graduate students. 410 0$aMathematical engineering. 606 $aSignal processing 615 0$aSignal processing. 676 $a621.382 676 $a621.382/2 676 $a621.382201514 700 $aRobinson$b Michael$4aut$4http://id.loc.gov/vocabulary/relators/aut$037662 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910299718103321 996 $aTopological Signal Processing$91925280 997 $aUNINA