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Detection and Estimation Theory (Hardcover)
US $130.00
大約HK$ 1,011.84
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“Very good condition, no missing pages or highlighting.”
很好
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物品細節
- 物品狀況
- 很好
- 賣家備註
- “Very good condition, no missing pages or highlighting.”
- Subject Area
- Electrical Engineering
- Educational Level
- High School
- Features
- 1st Edition
- Subject
- Engineering & Technology
- Level
- Advanced
- ISBN
- 9780130894991
關於產品
Product Identifiers
Publisher
Pearson Education
ISBN-10
0130894990
ISBN-13
9780130894991
eBay Product ID (ePID)
57198200
Product Key Features
Number of Pages
672 Pages
Language
English
Publication Name
Detection and Estimation Theory
Publication Year
2006
Subject
Signals & Signal Processing, Probability & Statistics / Stochastic Processes, Telecommunications, Electronics / General
Type
Textbook
Subject Area
Mathematics, Technology & Engineering
Format
Trade Paperback
Dimensions
Item Height
1.5 in
Item Weight
44.6 Oz
Item Length
9.6 in
Item Width
7.4 in
Additional Product Features
Intended Audience
College Audience
LCCN
2007-272618
Dewey Edition
20
Illustrated
Yes
Dewey Decimal
621.38223
Synopsis
This is the first reader-friendly book to comprehensively address the topics of both detection and estimation - with a thorough discussion of the underlying theory as well as the practical applications. KEY TOPICS: Modernizes classical topics by focusing on discrete signal processing with continuous signal presentations included to demonstrate uniformity and consistency of the results. Summarizes concepts that are extensively treated in other sources, but are provided here to reacquaint readers with these topics and introduce a consistent notation used throughout. Illustrates the application of previously developed general principles. CoversMATLAB m-file and Simulink routines;does not require prior knowledge of MATLAB. MARKET: A useful reference text for practicing engineers., This is the first reader-friendly book to comprehensively address the topics of both detection and estimation - with a thorough discussion of the underlying theory as well as the practical applications. Modernizes classical topics by focusing on discrete signal processing with continuous signal presentations included to demonstrate uniformity and consistency of the results. Summarizes concepts that are extensively treated in other sources, but are provided here to reacquaint readers with these topics and introduce a consistent notation used throughout. Illustrates the application of previously developed general principles. CoversMATLAB m-file and Simulink routines; does not require prior knowledge of MATLAB. A useful reference text for practicing engineers., For courses in Estimation and Detection Theory offered in departments of Electrical Engineering. This is the first student-friendly textbook to comprehensively address the topics of both detection and estimation - with a thorough discussion of the underlying theory as well as the practical applications. By addressing detection and estimation theory in the same volume, the authors encourage a greater appreciation of the strong coupling and often blurring of these fields of study. In order to modernize classical topics, the text focuses on discrete signal processing with continuous signal presentations included to demonstrate uniformity and consistency of the results., This is the first reader-friendly book to comprehensively address the topics of both detection and estimation - with a thorough discussion of the underlying theory as well as the practical applications. Modernizes classical topics by focusing on discrete signal processing with continuous signal presentations included to demonstrate uniformity and consistency of the results. Summarizes concepts that are extensively treated in other sources, but are provided here to reacquaint readers with these topics and introduce a consistent notation used throughout. Illustrates the application of previously developed general principles. CoversMATLAB m-file and Simulink routines;does not require prior knowledge of MATLAB. A useful reference text for practicing engineers.
LC Classification Number
QA276.8.S258 2006