Modeling and Identification Algorithms for Emerging Applications in Data and Signal Processing

dc.contributor.editorRomanowski, Andrzej
dc.contributor.editorSankowski, Dominik
dc.contributor.editorTadeusiewicz, Ryszard
dc.contributor.reviewerSikora, Jan
dc.contributor.reviewerMosorov, Volodymyr
dc.date.accessioned2021-05-05T10:58:56Z
dc.date.available2021-05-05T10:58:56Z
dc.date.issued2015
dc.descriptionThis revised edition of a book includes several amendments in comparison to the first edtion printed in 2014. The main supplements are chapter #3 and #14 that cover the extended discussion on the application of fractional order calculus to the design, development and control of a mobile robot. These two chapters are in strong connection with the first two chapters, namely chapters #1 and #2 that deal with the fractional calculus as well. The other amendments cover revision of majority of the text and especially the extension of the following chapters: #1, #2, #8 and #12. We are hopeful this supplemented book edition will give you better coverage and more satisfaction taken from detailed description of the presented research. Editorsen_EN
dc.description.abstractComputerised systems pervade our everyday lives. We see computers everywhere we go. We wake up to the sound of an electronic alarm clock and go to sleep just after switching off the e-book reader. Academic research keeps pursuing solutions to more and more problems using computational methods. With so many new systems around us that attempt to solve so many problems, it becomes harder and harder to identify the truly valuable solutions. How does a modern engineer find what are the latest developments can affect their work? In this book, we provide research results in a variety of application domains that illustrate how computer science may contribute to solving engineering problems. We address a broad spectrum of applications including finance, computer networks, office environments and 3D graphics to show how versatile computer algorithms can be. We aim to stress that applied computer science produces best results when practiced as an interdisciplinary science in close cooperation with application domain specialists. We hope that this monograph will inspire many researchers and students to conduct new interesting activities to further advance the field of computer science. The readers are welcome to use the chapters of this book as starting points of extended discussions that may lead to new ideas and discoveries. We encourage interested readers to contact the authors to fuel the discussions with hands-on experiences and extended work.en_EN
dc.identifier.isbn978-83-7283-657-1
dc.identifier.urihttp://hdl.handle.net/11652/3418
dc.language.isoenen_EN
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.publisherLodz University of Technology Pressen_EN
dc.relation.ispartofseriesMonografie Politechniki Łódzkiejpl_PL
dc.relation.ispartofseriesLodz University of Technology Monographsen_EN
dc.subjectalgorytmy - zastosowanie naukowepl_PL
dc.subjectinformatykapl_PL
dc.subjectprzetwarzanie mobilne (informatyka)pl_PL
dc.subjectalgorithms - scientific applicationen_EN
dc.subjectinformaticsen_EN
dc.subjectmobile computing (IT)en_EN
dc.titleModeling and Identification Algorithms for Emerging Applications in Data and Signal Processingen_EN
dc.typemonografiapl_PL
dc.typemonographen_EN

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