{"product_id":"source-separation-in-physical-chemical-sensing-hardback-9781119137221","title":"Source Separation in Physical-Chemical Sensing (Hardback) 9781119137221","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eSource Separation in Physical-Chemical Sensing\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eChristian Jutten (Edited by), C Jutten (Author), Leonardo Tomazeli Duarte (Edited by), Said Moussaoui (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119137221, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 11 October 2023\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e352 pages\u003cbr\u003e24.4 x 17 x 1.5 cm, 0.68 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eSource Separation in Physical-Chemical Sensing\u003c\/b\u003e \u003cp\u003e\u003cb\u003eMaster advanced signal processing for enhanced physical and chemical sensors with this essential guide\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eIn 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. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eSource Separation in Physical-Chemical Sensing,\u003c\/i\u003e 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. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eSource Separation in Physical-Chemical Sensing\u003c\/i\u003e readers will also find: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBSS examples on chemical and physical sensors and devices to enhance processing and analysis.\u003c\/li\u003e \u003cli\u003eDetailed treatment of source separation in potentiometric sensors, ion-sensitive sensors, hyperspectral imaging, Raman and fluorescence spectroscopy, chromatography, and others.\u003c\/li\u003e \u003cli\u003eThorough discussion of Bayesian source separation, nonnegative matrix factorization, tensorial methods, geometrical methods, constrained optimization, and more.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eSource Separation in Physical-Chemical Sensing\u003c\/i\u003e 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eAbout the Editors xiii\u003c\/p\u003e \u003cp\u003eList of Contributors xv\u003c\/p\u003e \u003cp\u003eForeword xvii\u003c\/p\u003e \u003cp\u003ePreface xxi\u003c\/p\u003e \u003cp\u003eNotation xxiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Overview of Source Separation 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eChristian Jutten, Leonardo Tomazeli Duarte, and Saïd Moussaoui\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 The Problem of Source Separation 3\u003c\/p\u003e \u003cp\u003e1.3 Statistical Methods for Source Separation 15\u003c\/p\u003e \u003cp\u003e1.4 Source Separation Problems in Physical--Chemical Sensing 24\u003c\/p\u003e \u003cp\u003e1.5 Source Separation Methods for Chemical--Physical Sensing 30\u003c\/p\u003e \u003cp\u003e1.6 Organization of the Book 35\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Optimization 43\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eEmilie Chouzenoux and Jean-Christophe Pesquet\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction to Optimization Problems 43\u003c\/p\u003e \u003cp\u003e2.2 Majorization--Minimization Approaches 50\u003c\/p\u003e \u003cp\u003e2.3 Primal-Dual Methods 72\u003c\/p\u003e \u003cp\u003e2.4 Application to NMR Signal Restoration 83\u003c\/p\u003e \u003cp\u003e2.5 Conclusion 91\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Non-negative Matrix Factorization 103\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDavid Brie, Nicolas Gillis, and Saïd Moussaoui\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 103\u003c\/p\u003e \u003cp\u003e3.2 Geometrical Interpretation of NMF and the Non-negative Rank 105\u003c\/p\u003e \u003cp\u003e3.3 Uniqueness and Admissible Solutions of NMF 112\u003c\/p\u003e \u003cp\u003e3.4 Non-negative Matrix Factorization Algorithms 118\u003c\/p\u003e \u003cp\u003e3.5 Applications of NMF in Chemical Sensing. Two Examples of Reducing Admissible Solutions 129\u003c\/p\u003e \u003cp\u003e3.6 Conclusions 141\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Bayesian Source Separation 151\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSaïd Moussaoui, Leonardo Tomazeli Duarte, Nicolas Dobigeon, and Christian Jutten\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 151\u003c\/p\u003e \u003cp\u003e4.2 Overview of Bayesian Source Separation 152\u003c\/p\u003e \u003cp\u003e4.3 Statistical Models for the Separation in the Linear Mixing 159\u003c\/p\u003e \u003cp\u003e4.4 Statistical Models and Separation Algorithms for Nonlinear Mixtures 173\u003c\/p\u003e \u003cp\u003e4.5 Some Practical Issues on Algorithm Implementation 177\u003c\/p\u003e \u003cp\u003e4.6 Applications to Case Studies in Chemical Sensing 182\u003c\/p\u003e \u003cp\u003e4.7 Conclusion 191\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Geometrical Methods -- Illustration with Hyperspectral Unmixing 201\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJosé M. Bioucas-Dias and Wing-Kin Ma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 201\u003c\/p\u003e \u003cp\u003e5.2 Hyperspectral Sensing 202\u003c\/p\u003e \u003cp\u003e5.3 Hyperspectral Mixing Models 206\u003c\/p\u003e \u003cp\u003e5.4 Linear HU Problem Formulation 208\u003c\/p\u003e \u003cp\u003e5.5 Dictionary-Based Semiblind HU 222\u003c\/p\u003e \u003cp\u003e5.6 Minimum Volume Simplex Estimation 227\u003c\/p\u003e \u003cp\u003e5.7 Applications 239\u003c\/p\u003e \u003cp\u003e5.8 Conclusions 244\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Tensor Decompositions: Principles and Application to Food Sciences 255\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJérémy Cohen, Rasmus Bro, and Pierre Comon\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 255\u003c\/p\u003e \u003cp\u003e6.2 Tensor Decompositions 261\u003c\/p\u003e \u003cp\u003e6.3 Constraints in Decompositions 273\u003c\/p\u003e \u003cp\u003e6.4 Coupled Decompositions 279\u003c\/p\u003e \u003cp\u003e6.5 Algorithms 286\u003c\/p\u003e \u003cp\u003e6.6 Applications 297\u003c\/p\u003e \u003cp\u003eReferences 307\u003c\/p\u003e \u003cp\u003eIndex 325\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Brand New","offer_id":52421466849560,"sku":"9781119137221","price":82.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119137221.jpg?v=1784596000","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/source-separation-in-physical-chemical-sensing-hardback-9781119137221","provider":"Freshly Printed Books","version":"1.0","type":"link"}