Signal Detection Theory

Vyacheslav Tuzlukov

ISBN 10: 0817641521 / ISBN 13: 9780817641528

Verlag: SPRINGER NATURE Feb 2001, 2001

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -The problem of noise immunity is a key problem for complex signal processing systems research in science and engineering. New approaches to such problems allow the development of a better quality of signal detection in noise.This book is devoted to a new generalized approach to signal detection theory. The main purpose is to present the basic fundamental concepts of the generalized approach to signal processing in noise and to show how it may be applied in various areas of signal processing. The generalized approach allows extension of the well-known boundaries of the potential noise immunity set up by classical and modern signal detection theories. New approaches for construction of detectors with the amplitude, frequency, and phase tracking systems based on the generalized approach are presented.Features and Topics: New approaches to the statistical theory of signal detectionNew features of signal detection based on experimental studyMore rigorous definition of potential noise immunityChapter summaries and an analsys of recent observations obtained by computer modeling and experimentParticularly useful applications for detection problems in radar, communications, wireless communications, acoustics, remote sensing, sonar, underwater signal processing, geophysical signal processing, and biomedical signal processing.The book is an excellent resource for understanding and solving problems in modern signal detection theories. Professionals, scientists, engineers, and researchers in electrical engineering, computer science, geophysics, and applied mathematics will benefit from using the techniques presented. 748 pp. Englisch.

Bestandsnummer des Verkäufers 9780817641528

Bibliografische Details

• Titel: Signal Detection Theory
• Verlag: SPRINGER NATURE Feb 2001
• Erscheinungsjahr: 2001
• Sprache: Englisch
• ISBN-10: 0817641521
• ISBN-13: 9780817641528
• Einband: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

Preface Introduction Classical Signal Detection Theory Modern Signal Detection Theory Generalized Approach Signals with Stochastic Parameters Generalized Approach: Communications Detection Performances Experimental Study Type of Signals Epilogue Notation Index Index

Reseña del editor

The problem of noise immunity is a key problem for complex signal processing systems research in science and engineering. New approaches to such problems allow the development of a better quality of signal detection in noise. This book is devoted to a new generalized approach to signal detection theory. The main purpose is to present the basic fundamental concepts of the generalized approach to signal processing in noise and to show how it may be applied in various areas of signal processing. The generalized approach allows extension of the well-known boundaries of the potential noise immunity set up by classical and modern signal detection theories. New approaches for construction of detectors with the amplitude, frequency, and phase tracking systems based on the generalized approach are presented. Features and Topics: * New approaches to the statistical theory of signal detection * New features of signal detection based on experimental study * More rigorous definition of potential noise immunity * Chapter summaries and an analsys of recent observations obtained by computer modeling and experiment * Particularly useful applications for detection problems in radar, communications, wireless communications, acoustics, remote sensing, sonar, underwater signal processing, geophysical signal processing, and biomedical signal processing. The book is an excellent resource for understanding and solving problems in modern signal detection theories. Professionals, scientists, engineers, and researchers in electrical engineering, computer science, geophysics, and applied mathematics will benefit from using the techniques presented.