Source Separation in Physical-Chemical Sensing
暫譯: 物理化學感測中的源分離

Jutten, Christian, Duarte, Leonardo Tomazeli, Moussaoui, Said

  • 出版商: Wiley
  • 出版日期: 2023-10-23
  • 售價: $4,810
  • 貴賓價: 9.5$4,570
  • 語言: 英文
  • 頁數: 352
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119137225
  • ISBN-13: 9781119137221
  • 相關分類: 化學 ChemistryData Science物理學 Physics
  • 海外代購書籍(需單獨結帳)

商品描述

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 are obtained from large set 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 makes 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.

商品描述(中文翻譯)

掌握先進的信號處理以增強物理和化學傳感器的性能,這是一本必備指南

在許多領域(醫學、衛星影像與遙感、食品工業、材料科學),數據是從大量的物理/化學傳感器或傳感器陣列中獲得的。這些複雜的測量技術需要先進且智能的處理,以從原始感測數據中提取有用的信息。通常,傳感器的選擇性不高,記錄了有用潛在變量的混合。名為盲源分離(Blind Source Separation, BSS)的創新技術可以從混合源數據陣列中隔離和提取個別潛在變量,從而進行精細分析,充分利用這些尖端的影像和信號感測技術。

《物理-化學傳感中的源分離》提供了BSS原理、主要方法和算法的全面介紹,以及其在通過物理或化學傳感器獲取數據的各個領域中的潛在應用。該書旨在彌合化學/物理分析與信號處理之間的鴻溝,對於許多領域來說,將是無價之寶。它對最新技術的敏銳洞察以及BSS應用的全範圍潛力,使其成為這一尖端方法不可或缺的入門書。

《物理-化學傳感中的源分離》的讀者還將發現:

針對化學和物理傳感器及設備的BSS範例,以增強處理和分析。

對於電位計傳感器、離子敏感傳感器、高光譜成像、拉曼和螢光光譜學、色譜等的源分離的詳細處理。

對貝葉斯源分離、非負矩陣分解、張量方法、幾何方法、約束優化等的深入討論。

《物理-化學傳感中的源分離》是從事信號處理和統計分析的研究人員和工程師的必備書籍,同時也是希望在各種應用領域中應用源分離的化學家、物理學家或工程師的理想選擇。

作者簡介

Christian Jutten, PhD, is Emeritus Professor of signal processing at University Grenoble Alpes and Honorary Senior Member at the Institut Universitaire de France. He is globally recognized for his pioneering research contributions to blind source separation, and has published widely on this and related subjects.

Leonardo Tomazeli Duarte, PhD, is Associate Professor at the School of Applied Sciences, University of Campinas (Unicamp), Brazil. He has researched extensively into blind source separation and other aspects of signal processing and data science methods.

Saïd Moussaoui, PhD, is a Researcher and Professor in Signal and Image Processing at École Centrale de Nantes, France. He has published widely on signal processing, source separation, image restoration and other related subjects.

作者簡介(中文翻譯)

Christian Jutten, PhD, 是法國格勒諾布爾阿爾卑斯大學的信號處理名譽教授,以及法國大學研究所的榮譽高級成員。他因在盲源分離方面的開創性研究貢獻而享有全球聲譽,並在此及相關主題上發表了大量著作。

Leonardo Tomazeli Duarte, PhD, 是巴西坎皮納斯大學(Unicamp)應用科學學院的副教授。他在盲源分離及信號處理和數據科學方法的其他方面進行了廣泛的研究。

Saïd Moussaoui, PhD, 是法國南特中央學院的信號與影像處理研究員及教授。他在信號處理、源分離、影像修復及其他相關主題上發表了大量著作。

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