大葉大學圖書館 |

Detection and estimation for communication and radar systems[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	621.3822
書名/作者:	Detection and estimation for communication and radar systems/ Kung Yao, Flavio Lorenzelli, Chiao-En Chen.
其他題名:	Detection & estimation for communication & radar systems
作者:	Yao, Kung.
其他作者:	Lorenzelli, Flavio.
出版者:	Cambridge : : Cambridge University Press,, 2013.
面頁冊數:	x, 322 p. : : ill., digital ;; 24 cm.
標題:	Signal processing.
標題:	Signal detection.
ISBN:	9781139015615
ISBN:	9780521766395
內容註:	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.
摘要、提要註:	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 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.
電子資源:	https://doi.org/10.1017/CBO9781139015615

Detection and estimation for communication and radar systems[electronic resource] /
Yao, Kung.

Detection and estimation for communication and radar systems[electronic resource] /Detection & estimation for communication & radar systemsKung Yao, Flavio Lorenzelli, Chiao-En Chen. - Cambridge :Cambridge University Press,2013. - x, 322 p. :ill., digital ;24 cm.

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.

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 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.

ISBN: 9781139015615Subjects--Topical Terms:

174043
Signal processing.

LC Class. No.: TK5102.9 / .Y365 2013

Dewey Class. No.: 621.3822

Detection and estimation for communication and radar systems[electronic resource] /
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520 $a 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 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.
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