{"product_id":"multisensor-decision-and-estimation-fusion-practical-theory","title":"Multisensor Decision And Estimation Fusion - Practical Theory","description":"\u003cp\u003eIn this review of Multisensor Decision And Estimation Fusion, the book is recommended for researchers and advanced practitioners who need a focused treatment of distributed fusion techniques; its single biggest reason to buy is a clear exploration of how individual processors produce local decisions or estimates that are then combined at a fusion center, providing practical context for systems that require increased capability and reliability. The review examines the book's emphasis on distributed processing, the discussion of compressed observations, and the value this brings to engineers working on multi-sensor systems.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDistributed processing explained:\u003c\/strong\u003e The book outlines how observations are processed at individual processors, helping readers design systems that avoid single points of failure.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFusion center focus:\u003c\/strong\u003e It describes how processed data or compressed observations are transmitted and combined at a fusion center, clarifying end-to-end system flow.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReliability benefits:\u003c\/strong\u003e The text emphasizes advantages of multiple sensors, showing how multisensor designs increase capability, reliability, and survivability.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEstimation and decision methods:\u003c\/strong\u003e Readers get coverage of both estimation and decision fusion problems, useful for varied applications in sensing and surveillance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStatistical observation cases:\u003c\/strong\u003e The book examines scenarios with statistically independent observations and observation noises, guiding model assumptions for analysis.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eWho should read it:\u003c\/strong\u003e This work is best for graduate students, researchers, and engineers in signal processing, control, or sensor networks who need a theoretical yet application-aware reference on how to combine distributed estimates or decisions.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWho should look elsewhere:\u003c\/strong\u003e Readers seeking a beginner textbook on basic probability, hands-on implementation tutorials, or broad introductions to machine learning will find the material too specialized and should consider more introductory resources.\u003c\/p\u003e\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eProvides a focused treatment of distributed decision and estimation fusion useful for advanced study.\u003c\/li\u003e\n\u003cli\u003eClarifies the role of processed or compressed observations when transmitted to a fusion center.\u003c\/li\u003e\n\u003cli\u003eHighlights practical system advantages like increased reliability and robustness of multisensor setups.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNot a beginner-friendly introduction; the treatment assumes familiarity with estimation and decision theory.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eMultisensor Decision And Estimation Fusion\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeries\u003c\/td\u003e\n\u003ctd\u003eThe International Series on Asian Studies in Computer and Information Science\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthor \/ Brand\u003c\/td\u003e\n\u003ctd\u003eYunmin Yunmin Zhu\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eScope\u003c\/td\u003e\n\u003ctd\u003eDistributed decision and estimation fusion methods\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocus\u003c\/td\u003e\n\u003ctd\u003eProcessed data and compressed observations transmitted to a fusion center\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStatistical cases\u003c\/td\u003e\n\u003ctd\u003eIncludes discussion of statistically independent observations and observation noises\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eVerdict\u003c\/strong\u003e This book is a strong, narrowly focused reference for professionals and researchers who need to understand how local processors and a fusion center interact in multisensor systems; it is good value for those who already know estimation or decision theory and want a concise, practical treatment of distributed fusion concepts.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this book cover implementation code?\u003c\/strong\u003e\u003cbr\u003eThe book is a theoretical and application-oriented reference and does not focus on providing implementation code or step-by-step programming tutorials.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs prior knowledge required?\u003c\/strong\u003e\u003cbr\u003eYes; familiarity with estimation, decision theory, or signal processing is recommended to get the most from the discussions of distributed fusion.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat system benefits are emphasized?\u003c\/strong\u003e\u003cbr\u003eThe text emphasizes increased capability, reliability, robustness, and survivability of systems that use multiple distributed sensors.\u003c\/p\u003e","brand":"Yunmin Yunmin Zhu","offers":[{"title":"Default Title","offer_id":48638231281883,"sku":"146135367X","price":145.31,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/51GDi3kBDmL._SL1253.jpg?v=1778572261","url":"https:\/\/gearmusthave.com\/products\/multisensor-decision-and-estimation-fusion-practical-theory","provider":"GearMustHave","version":"1.0","type":"link"}