Engineering Applications Of Correlation And Spectral Analysis
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Author |
: Julius S. Bendat |
Publisher |
: Wiley-Interscience |
Total Pages |
: 486 |
Release |
: 1993 |
ISBN-10 |
: UOM:39015029269688 |
ISBN-13 |
: |
Rating |
: 4/5 (88 Downloads) |
Synopsis Engineering Applications of Correlation and Spectral Analysis by : Julius S. Bendat
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.
Author |
: Julius S. Bendat |
Publisher |
: |
Total Pages |
: 328 |
Release |
: 1980-05-13 |
ISBN-10 |
: UOM:39015002081753 |
ISBN-13 |
: |
Rating |
: 4/5 (53 Downloads) |
Synopsis Engineering Applications of Correlation and Spectral Analysis by : Julius S. Bendat
Introduction and background; 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/output relationships; Energy source identification; Procedures for solving multiple input/output problems; Statistical errors in measurements.
Author |
: Arturo Roman Messina |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 278 |
Release |
: 2009-04-21 |
ISBN-10 |
: 9780387895307 |
ISBN-13 |
: 0387895302 |
Rating |
: 4/5 (07 Downloads) |
Synopsis Inter-area Oscillations in Power Systems by : Arturo Roman Messina
The study of complex dynamic processes governed by nonlinear and nonstationary characteristics is a problem of great importance in the analysis and control of power system oscillatory behavior. Power system dynamic processes are highly random, nonlinear to some extent, and intrinsically nonstationary even over short time intervals as in the case of severe transient oscillations in which switching events and control actions interact in a complex manner. Phenomena observed in power system oscillatory dynamics are diverse and complex. Measured ambient data are known to exhibit noisy, nonstationary fluctuations resulting primarily from small magnitude, random changes in load, driven by low-scale motions or nonlinear trends originating from slow control actions or changes in operating conditions. Forced oscillations resulting from major cascading events, on the other hand, may contain motions with a broad range of scales and can be highly nonlinear and time-varying. Prediction of temporal dynamics, with the ultimate application to real-time system monitoring, protection and control, remains a major research challenge due to the complexity of the driving dynamic and control processes operating on various temporal scales that can become dynamically involved. An understanding of system dynamics is critical for reliable inference of the underlying mechanisms in the observed oscillations and is needed for the development of effective wide-area measurement and control systems, and for improved operational reliability.
Author |
: Roland Priemer |
Publisher |
: World Scientific |
Total Pages |
: 762 |
Release |
: 1991 |
ISBN-10 |
: 9971509199 |
ISBN-13 |
: 9789971509194 |
Rating |
: 4/5 (99 Downloads) |
Synopsis Introductory Signal Processing by : Roland Priemer
A valuable introduction to the fundamentals of continuous and discrete time signal processing, this book is intended for the reader with little or no background in this subject. The emphasis is on development from basic principles. With this book the reader can become knowledgeable about both the theoretical and practical aspects of digital signal processing.Some special features of this book are: (1) gradual and step-by-step development of the mathematics for signal processing, (2) numerous examples and homework problems, (3) evolutionary development of Fourier series, Discrete Fourier Transform, Fourier Transform, Laplace Transform, and Z-Transform, (4) emphasis on the relationship between continuous and discrete time signal processing, (5) many examples of using the computer for applying the theory, (6) computer based assignments to gain practical insight, (7) a set of computer programs to aid the reader in applying the theory.
Author |
: Piet M. T. Broersen |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 301 |
Release |
: 2006-04-20 |
ISBN-10 |
: 9781846283284 |
ISBN-13 |
: 1846283280 |
Rating |
: 4/5 (84 Downloads) |
Synopsis Automatic Autocorrelation and Spectral Analysis by : Piet M. T. Broersen
Spectral analysis requires subjective decisions which influence the final estimate and mean that different analysts can obtain different results from the same stationary stochastic observations. Statistical signal processing can overcome this difficulty, producing a unique solution for any set of observations but that is only acceptable if it is close to the best attainable accuracy for most types of stationary data. This book describes a method which fulfils the above near-optimal-solution criterion, taking advantage of greater computing power and robust algorithms to produce enough candidate models to be sure of providing a suitable candidate for given data.
Author |
: Richard Shiavi |
Publisher |
: Elsevier |
Total Pages |
: 424 |
Release |
: 2010-07-19 |
ISBN-10 |
: 9780080467689 |
ISBN-13 |
: 0080467687 |
Rating |
: 4/5 (89 Downloads) |
Synopsis Introduction to Applied Statistical Signal Analysis by : Richard Shiavi
Introduction to Applied Statistical Signal Analysis, Third Edition, is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech. Topics presented include mathematical bases, requirements for estimation, and detailed quantitative examples for implementing techniques for classical signal analysis. This book includes over one hundred worked problems and real world applications. Many of the examples and exercises use measured signals, most of which are from the biomedical domain. The presentation style is designed for the upper level undergraduate or graduate student who needs a theoretical introduction to the basic principles of statistical modeling and the knowledge to implement them practically. Includes over one hundred worked problems and real world applications. Many of the examples and exercises in the book use measured signals, many from the biomedical domain.
Author |
: Gwilym M. Jenkins |
Publisher |
: Emerson Adams PressInc |
Total Pages |
: 525 |
Release |
: 1968 |
ISBN-10 |
: 1892803038 |
ISBN-13 |
: 9781892803030 |
Rating |
: 4/5 (38 Downloads) |
Synopsis Spectral Analysis and Its Applications by : Gwilym M. Jenkins
Author |
: |
Publisher |
: |
Total Pages |
: |
Release |
: 1984 |
ISBN-10 |
: OCLC:12499999 |
ISBN-13 |
: |
Rating |
: 4/5 (99 Downloads) |
Synopsis Engineering Applications of Correlation and Spectral Analysis by :
Author |
: Rajan Chattamvelli |
Publisher |
: Springer Nature |
Total Pages |
: 193 |
Release |
: |
ISBN-10 |
: 9783031510151 |
ISBN-13 |
: 3031510151 |
Rating |
: 4/5 (51 Downloads) |
Synopsis Correlation in Engineering and the Applied Sciences by : Rajan Chattamvelli
Author |
: Liming Dai |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 561 |
Release |
: 2011-12-21 |
ISBN-10 |
: 9781461414681 |
ISBN-13 |
: 1461414687 |
Rating |
: 4/5 (81 Downloads) |
Synopsis Nonlinear Approaches in Engineering Applications by : Liming Dai
Nonlinear Approaches in Engineering Applications focuses on nonlinear phenomena that are common in the engineering field. The nonlinear approaches described in this book provide a sound theoretical base and practical tools to design and analyze engineering systems with high efficiency and accuracy and with less energy and downtime. Presented here are nonlinear approaches in areas such as dynamic systems, optimal control and approaches in nonlinear dynamics and acoustics. Coverage encompasses a wide range of applications and fields including mathematical modeling and nonlinear behavior as applied to microresonators, nanotechnologies, nonlinear behavior in soil erosion,nonlinear population dynamics, and optimization in reducing vibration and noise as well as vibration in triple-walled carbon nanotubes.