000			02893nam a22005655i 4500
001			978-3-642-36104-3
003			DE-He213
005			20140220082516.0
007			cr nn 008mamaa
008			140107s2014 gw | s |||| 0|eng d
020			_a9783642361043 _9978-3-642-36104-3
024	7		_a10.1007/978-3-642-36104-3 _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
100	1		_aRobinson, Michael. _eauthor.
245	1	0	_aTopological Signal Processing _h[electronic resource] / _cby Michael Robinson.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2014.
300			_aXVI, 208 p. 134 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aMathematical Engineering, _x2192-4732
505	0		_aIntroduction and informal discussion -- Parametrization -- Signals -- Detection -- Transforms -- Noise.
520			_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.
650		0	_aEngineering.
650		0	_aMathematics.
650		0	_aComputer science.
650		0	_aTopology.
650		0	_aTelecommunication.
650	1	4	_aEngineering.
650	2	4	_aSignal, Image and Speech Processing.
650	2	4	_aTopology.
650	2	4	_aCommunications Engineering, Networks.
650	2	4	_aComputational Science and Engineering.
650	2	4	_aInformation and Communication, Circuits.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642361036
830		0	_aMathematical Engineering, _x2192-4732
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-36104-3
912			_aZDB-2-ENG
999			_c93167 _d93167