000			03864nam a22004094u 4500
001			10.1002/9781119137252
003			Wiley
005			20251030120312.0
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008			231113t2023||||xxu fs| |0|| 0|eng||
020			_a9781119137252 _qelectronic
024	7		_a10.1002/9781119137252 _2doi
041			_aeng
245	0	0	_aSource Separation in Physical‐Chemical Sensing _h[electronic resource] _cEdited by Christian Jutten, Leonardo Tomazeli Duarte, Saïd Moussaoui.
250			_a1
260			_bWiley _c2023
264		1	_bWiley _c2023
300			_a352pp.;
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _2rdaft
347			_bPDF
520			_aSource Separation in Physical-Chemical Sensing Master advanced signal processing for enhanced physical and chemical sensors with this essential guide In many domains (medicine, satellite imaging and remote sensing, food industry, materials science), data is obtained from large sets of physical/chemical sensors or sensor arrays. Such sophisticated measurement techniques require advanced and smart processing for extracting useful information from raw sensing data. Usually, sensors are not very selective and record a mixture of the useful latent variables. An innovative technique called Blind Source Separation (BSS) can isolate and retrieve the individual latent variables from a mixed-source data array, allowing for refined analysis that fully exploits these cutting-edged imaging and signal-sensing technologies. Source Separation in Physical-Chemical Sensing, supplies a thorough introduction to the principles of BSS, main methods and algorithms and its potential applications in various domains where data are obtained through physical or chemical sensors. Designed to bridge the gap between chemical/physical analysis and signal processing, it promises to be invaluable in many fields. Its alertness to the latest technologies and the full range of potential BSS applications make it an indispensable introduction to this cutting-edge method. Source Separation in Physical-Chemical Sensing readers will also find: BSS examples on chemical and physical sensors and devices to enhance processing and analysis. Detailed treatment of source separation in potentiometric sensors, ion-sensitive sensors, hyperspectral imaging, Raman and fluorescence spectroscopy, chromatography, and others. Thorough discussion of Bayesian source separation, nonnegative matrix factorization, tensorial methods, geometrical methods, constrained optimization, and more. Source Separation in Physical-Chemical Sensing is a must-have for researchers and engineers working in signal processing and statistical analysis, as well as for chemists, physicists or engineers looking to apply source separation in various application domains.
650		4	_aSignal Processing
650		4	_aChemometrics & Data Handling _991795
650		4	_aSensors, Instrumentation & Measurement
653	0	0	_aBSS; signal processing; mass spectrography; chromatography; spectral unmixing; hyperspectral imaging; Bayesian source separation; non-negative matrix factorization; tensorial methods; geometrical methods; constrained optimization
700	1		_aJutten, Christian _4edt _991796
700	1		_aDuarte, Leonardo Tomazeli _4edt _991797
700	1		_aMoussaoui, Saïd _4edt _991798
776	0	8	_iPrinted edition: _z9781119137221
856	4	0	_uhttps://doi.org/10.1002/9781119137252 _aWiley Online Library
856	4	0	_uhttps://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119137252 _aWiley Online Library
856	4	2	_3Cover Image _uhttps://onlinelibrary.wiley.com/cms/asset/52b856df-d974-4267-bb4f-8c7a003cf29b/9781119137252.cover.gif _aWiley Online Library
999			_c67094 _d67094