Engineering Applications of Correlation and Spectral Analysis 2nd Ed 2013 Bendat

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Item specifics

Condition
Like New: A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is ...
Country/Region of Manufacture
United States
ISBN
9780471570554
Category

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471570559
ISBN-13
9780471570554
eBay Product ID (ePID)
590043

Product Key Features

Number of Pages
472 Pages
Language
English
Publication Name
Engineering Applications of Correlation and Spectral Analysis
Publication Year
2013
Subject
Engineering (General), Functional Analysis, Probability & Statistics / General, Probability & Statistics / Multivariate Analysis
Features
Revised
Type
Textbook
Author
Allan G. Piersol, Julius S. Bendat
Subject Area
Mathematics, Technology & Engineering
Format
Hardcover

Dimensions

Item Height
1 in
Item Weight
27.3 Oz
Item Length
9.4 in
Item Width
6.4 in

Additional Product Features

Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
92-036126
Dewey Edition
18
Illustrated
Yes
Dewey Decimal
620/.001/5157222
Table Of Content
Probability Functions and Amplitude Measures. Correlation and Spectral Density Functions. Single-Input/Single-Output Relationships. System Identification and Response. Propagation-Path Identification. Single-Input/Multiple-Output Problems. Multiple-Input/Multiple-Output Relationships. Energy-Source Identification. Procedures to Solve Multiple-Input/Multiple-Output Problems. Statistical Errors in Estimates. Nonstationary Data Analysis Techniques. Nonlinear System Analysis Techniques. References. List of Figures. List of Tables. Index. Glossary of Symbols.
Edition Description
Revised edition
Synopsis
Expanded to cover more advanced applications where statistical properties of data can be nonstationary and the physical systems nonlinear as opposed to only linear. Stresses the practical use and interpretation of analyzed data to solve problems., Expanded to cover more advanced applications where statistical properties of data can be nonstationary and the physical systems nonlinear as opposed to only linear. Stresses the practical use and interpretation of analyzed data to solve problems. Special attention is given to bias and random errors involved in desired estimates and the proper interpretation of results from specific applications. Includes numerous case studies concerned with dynamic problems which can occur in a variety of fields.

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