Central Library

Normal view MARC view ISBD view

An Introduction to Signal Detection and Estimation [electronic resource] / by H. Vincent Poor.

By: Poor, H. Vincent [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Springer Texts in Electrical Engineering: Publisher: New York, NY : Springer New York : Imprint: Springer, 1994Edition: 2nd ed. 1994.Description: X, 398 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781475723410.Subject(s): Electrical engineering | Physics | Electrical and Electronic Engineering | Applied and Technical PhysicsAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.3 Online resources: Click here to access online
Contents:
I Introduction -- II Elements of Hypothesis Testing -- III Signal Detection in Discrete Time -- IV Elements of Parameter Estimation -- V Elements of Signal Estimation -- VI Signal Detection in Continuous Time -- VII Signal Estimation in Continuous Time -- References.
In: Springer Nature eBookSummary: The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. It is assumed that the reader has a working knowledge of applied probability and random processes such as that taught in a typical first-semester graduate engineering course on these subjects. This material is covered, for example, in the book by Wong (1983) in this series. More advanced concepts in these areas are introduced where needed, primarily in Chapters VI and VII, where continuous-time problems are treated. This book is adapted from a one-semester, second-tier graduate course taught at the University of Illinois and at Princeton University. However, this material can also be used for a shorter or first-tier course by restricting coverage to Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for example in the book by Thomas (1986), also in this series. This treatment is also suitable for use as a text in other modes. For example, two smaller courses, one in signal detection (Chapters II, III, and VI) and one in estimation (Chapters IV, V, and VII), can be taught from the materials as organized here. Similarly, an introductory-level course (Chapters I through IV) followed by a more advanced course (Chapters V through VII) is another possibility.
    average rating: 0.0 (0 votes)
No physical items for this record

I Introduction -- II Elements of Hypothesis Testing -- III Signal Detection in Discrete Time -- IV Elements of Parameter Estimation -- V Elements of Signal Estimation -- VI Signal Detection in Continuous Time -- VII Signal Estimation in Continuous Time -- References.

The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. It is assumed that the reader has a working knowledge of applied probability and random processes such as that taught in a typical first-semester graduate engineering course on these subjects. This material is covered, for example, in the book by Wong (1983) in this series. More advanced concepts in these areas are introduced where needed, primarily in Chapters VI and VII, where continuous-time problems are treated. This book is adapted from a one-semester, second-tier graduate course taught at the University of Illinois and at Princeton University. However, this material can also be used for a shorter or first-tier course by restricting coverage to Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for example in the book by Thomas (1986), also in this series. This treatment is also suitable for use as a text in other modes. For example, two smaller courses, one in signal detection (Chapters II, III, and VI) and one in estimation (Chapters IV, V, and VII), can be taught from the materials as organized here. Similarly, an introductory-level course (Chapters I through IV) followed by a more advanced course (Chapters V through VII) is another possibility.

There are no comments for this item.

Log in to your account to post a comment.