{"product_id":"9781394207442","title":"Signal Processing An Applied Decomposition Approach","description":"\u003ch1\u003eSignal Processing\u003c\/h1\u003e\u003ch2\u003eAn Applied Decomposition Approach\u003c\/h2\u003e\u003ch3\u003eJames V. Candy\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Signals \u0026amp; Signal Processing\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eSeparate signals from noise with this valuable introduction to signal processing by applied decomposition\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThe decomposition of complex signals into the sub-signals, or individual components, is a crucial tool in signal processing. It allows each component of a signal to be analyzed individually, enables the signal to be isolated from noise, and processed in full. Decomposition processes have not always been widely adopted due to the difficult underlying mathematics and complex applications. This text simplifies these obstacles. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eSignal Processing: An Applied Decomposition Approach\u003c\/i\u003e demystifies these tools from a model-based perspective. This offers a mathematically informed, “step-by-step” analysis of the process by breaking down a composite signal\/system into its constituent parts, while introducing both fundamental concepts and advanced applications. This comprehensive approach addresses each of the major decomposition techniques, making it an indispensable addition to any library specializing in signal processing. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eSignal Processing \u003c\/i\u003ereaders will find: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSignal decomposition techniques developed from the data-based, spectral-based and model-based perspectives incorporate: statistical approaches (PCA, ICA, Singular Spectrum); spectral approaches (MTM, PHD, MUSIC); and model-based approaches (EXP, LATTICE, SSP)\u003c\/li\u003e\n\u003cli\u003eIn depth discussion of topics includes signal\/system estimation and decomposition, time domain and frequency domain techniques, systems theory, modal decompositions, applications and many more \u003c\/li\u003e\n\u003cli\u003eNumerous figures, examples, and tables illustrating key concepts and algorithms are developed throughout the text \u003c\/li\u003e\n\u003cli\u003eIncludes problem sets, case studies, real-world applications as well as MATLAB notes highlighting applicable commands\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eSignal Processing\u003c\/i\u003e is ideal for engineering and scientific professionals, as well as graduate students seeking a focused text on signal\/system decomposition with performance metrics and real-world applications.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eJames Vincent Candy, PhD,\u003c\/b\u003e is the Chief Scientist for Engineering, a Distinguished Member of the Technical Staff, founder and former Director of the Center for Advanced Signal \u0026amp; Image Sciences (CASIS) at the Lawrence Livermore National Laboratory and an Adjunct Full-Professor at the University of California, Santa Barbara. He received his his BSEE from the University of Cincinnati along with his MSE and PhD in Electrical Engineering from the University of Florida. Dr. Candy is a Life-Fellow of the IEEE and a 25-Year-Fellow of the Acoustical Society of America (ASA). He was elected as a Life Member at the University of Cambridge (Clare Hall College). Dr. Candy has been awarded the Interdisciplinary Helmholtz-Rayleigh Silver Medal in Signal Processing\/Underwater Acoustics by the Acoustical Society of America, the IEEE Distinguished Technical Achievement Award for the development of model-based signal processing as well as an elected IEEE Distinguished Lecturer in Oceanic Signal Processing. He also received the R\u0026amp;D100 award for his innovative invention in radiation threat detection. He has published over 250 journal articles, book chapters, and technical reports as well as written six texts in signal processing: \u003ci\u003eSignal Processing: the Model-Based Approach,\u003c\/i\u003e (McGraw-Hill, 1986), \u003ci\u003eSignal Processing: the Modern Approach,\u003c\/i\u003e(McGraw-Hill, 1988), \u003ci\u003eModel-Based Signal Processing, \u003c\/i\u003e(Wiley\/IEEE Press, 2006), \u003ci\u003eBayesian Signal Processing: Classical, Modern and Particle Filtering \u003c\/i\u003e(Wiley\/IEEE Press, 2009), \u003ci\u003eBayesian Signal Processing: Classical, Modern and Particle Filtering, \u003c\/i\u003e 2nd Ed. (Wiley\/IEEE Press, 2016), and \u003ci\u003eModel-Based Processing: An Applied Subspace Identification Approach\u003c\/i\u003e (Wiley, 2019). \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e29 October 2024\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-IEEE Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394207442\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e480\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e30.88\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44311125491852,"sku":"9781394207442","price":129.56,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394207442.jpg?v=1780145301","url":"https:\/\/lateknightbooks.com\/products\/9781394207442","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}