Detection and estimation for communication and radar systems / Kung Yao, Flavio Lorenzelli and Chiao-En Chen.
Material type:
TextPublication details: Cambridge : Cambridge University Press, c2013.Description: x, 322 p. : illustrations ; 26 cmISBN: - 9780521766395 (hardback)
- 621.3822 23 Y25
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 621.3822 Y25 (Browse shelf(Opens below)) | Available | 135210 |
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| 621.3822 W928 Signal processing with fractals | 621.3822 W928 Signal processing with fractals | 621.3822 Y19 Principles and methods of quantum information technologies / | 621.3822 Y25 Detection and estimation for communication and radar systems / | 621.3822 Z57 Pseudo random signal processing | 621.382201 R215 Discrete cosine transform | 621.38220113 F655 Evolutionary computation: principles and practice for signal processing/ |
Includes bibliographical references and index.
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"--
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