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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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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Front Cover | Front Flap | Table of Contents | First Pages | Index | Back Flap | Back Cover | Surprise Me!
Inside This Book
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First Sentence:
As explained in Chapter 1, if a physical phenomenon of interest is random, then each time history measurement x(t) of that phenomenon represents a unique set of circumstances which is not likely to be repeated in other independent measurements of that same phenomenon. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
instantaneous autospectrum, multiple coherence function, mean square value estimate, coherent output spectrum, normalized random error, ordinary coherence functions, square value estimates, partial coherence functions, extraneous output noise, trilinear systems, resolution bias error, autospectral density function, time history segment, conditioned records, normalized bias error, nondispersive propagation, coherent output powers, linear model equivalent, frequency response estimates, time history records, statistically independent contribution, displacement histogram, diffuse noise, system physical parameters, conditioned inputs Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Space Shuttle, Displacement Figure New!
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Front Cover | Front Flap | Table of Contents | First Pages | Index | Back Flap | Back Cover | Surprise Me!
As explained in Chapter 1, if a physical phenomenon of interest is random, then each time history measurement x(t) of that phenomenon represents a unique set of circumstances which is not likely to be repeated in other independent measurements of that same phenomenon. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
instantaneous autospectrum, multiple coherence function, mean square value estimate, coherent output spectrum, normalized random error, ordinary coherence functions, square value estimates, partial coherence functions, extraneous output noise, trilinear systems, resolution bias error, autospectral density function, time history segment, conditioned records, normalized bias error, nondispersive propagation, coherent output powers, linear model equivalent, frequency response estimates, time history records, statistically independent contribution, displacement histogram, diffuse noise, system physical parameters, conditioned inputs Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Space Shuttle, Displacement Figure New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Front Flap | Table of Contents | First Pages | Index | Back Flap | Back Cover | Surprise Me!
Citations (learn more)
This book cites 18
books:
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55
books
cite this book:
See all 55 books citing this book
- Random Data: Analysis & Measurement Procedures by Julius S. Bendat on 11 pages
- Answers To Problems in Random Data: Analysis And Measurement Procedures Second Edition - Revised And Expanded by Julius S. Bendat on 11 pages
- Selected Papers on Noise and Stochastic Processes by Nelson Wax on page 42, Back Matter (1), and Back Matter (2)
- Nonlinear System Analysis and Identification from Random Data by Julius S. Bendat in Front Matter, Back Matter (1), and Back Matter (2)
- Probability, Random Variables and Stochastic Processes with Errata Sheet by Athanasios Papoulis in Front Matter, page 42, and Back Matter
See all 18 books this book cites
- Random Data: Analysis & Measurement Procedures by Julius S. Bendat on 7 pages
- Nonlinear System Techniques and Applications by Julius S. Bendat in Table of Contents, Front Matter, and page 460
- Random Vibration and Spectral Analysis/Vibrations aléatoires et analyse spectral (Solid Mechanics and Its Applications) (English and French Edition) by A. Preumont on page 141, page 257, and Back Matter
- Noise in Digital Magnetic Recording by T. C. Arnoldussen on page 138, and page 272
- Random Processes: Filtering, Estimation, and Detection by Lonnie C. Ludeman on page 245, and page 332
See all 55 books citing this book
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