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[null,"1.","Record Nr.",null,"UNINA9910816959703321"]
[null,null,"Autore",null,"Yao Kung"]
[null,null,"Titolo",null,"Detection and estimation for communication and radar systems / / Kung Yao, University of California, Los Angeles, Flavio Lorenzelli, The Aerospace Corporation, Los Angeles, Chiao-En Chen, National Chung Cheng University, Taiwan [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge : , : Cambridge University Press, , 2013"]
[null,null,"ISBN",null,"1-107-23334-8"]
[{"$nulls":4},"1-139-60976-9"]
[{"$nulls":4},"1-139-01561-3"]
[{"$nulls":4},"1-139-61162-3"]
[{"$nulls":4},"1-139-62092-4"]
[{"$nulls":4},"1-283-94804-4"]
[{"$nulls":4},"1-139-62464-4"]
[{"$nulls":4},"1-139-61534-3"]
[{"$nulls":4},"1-139-60833-9"]
[null,null,"Descrizione fisica",null,"1 online resource (x, 322 pages) : digital, PDF file(s)"]
[null,null,"Disciplina",null,"621.382/2"]
[null,null,"Soggetti",null,"Signal processing"]
[{"$nulls":4},"Signal detection"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Title from publisher's bibliographic system (viewed on 05 Oct 2015)."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Machine generated contents note: 1. Introduction and motivation to detection and estimation; 2. Review of probability and random processes; 3. Statistical hypothesis testing theory; 4. Detection of deterministic binary signals in Gaussian noises; 5. M-ary detection and classification of deterministic signals; 6. Non-coherent detection; 7. Parameter estimation; 8. Analytical and simulation methods for system performance analysis and design."]
[null,null,null,"Sommario/riassunto","Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze, design, implement and optimize real-world systems. Detailed derivations of the various statistical methods are provided, ensuring a deeper understanding of the basics. Packed with practical insights, it uses extensive examples from communication, telecommunication and radar engineering to illustrate how theoretical results are derived and "]
[{"$nulls":4},"applied in practice. A unique blend of theory and applications and over 80 analytical and computational end-of-chapter problems make this an ideal resource for both graduate students and professional engineers."]
[null,"2.","Record Nr.",null,"UNINA9910557208703321"]
[null,null,"Autore",null,"Hamann Heiko"]
[null,null,"Titolo",null,"Designing Self-Organization in the Physical Realm"]
[null,null,"Pubbl/distr/stampa",null,"Frontiers Media SA, 2020"]
[null,null,"Descrizione fisica",null,"1 online resource (190 p.)"]
[null,null,"Soggetti",null,"Civil engineering, surveying & building"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact"]