| Description |
1 online resource (v, 90 pages) |
| Contents |
Introduction -- Discrete model of random oscillations -- Estimation of random oscillation characteristics -- Estimates accuracy -- Experimental validation of autoregressive method -- References -- Index |
| Summary |
"This book deals with the autoregressive method for digital processing of random oscillations. The method is based on a one-to-one transformation of the numeric factors of the Yule series model to linear elastic system characteristics. This parametric approach allowed to develop a formal processing procedure from the experimental data to obtain estimates of logarithmic decrement and natural frequency of random oscillations. A straightforward mathematical description of the procedure makes it possible to optimize a discretization of oscillation realizations providing efficient estimates. The derived analytical expressions for confidence intervals of estimates enable a priori evaluation of their accuracy. Experimental validation of the method is also provided."--Page 4 of cover |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from digital title page (viewed on September 13, 2019) |
| Subject |
Signal processing -- Digital techniques.
|
|
Technology & Engineering -- Signals & Signal Processing.
|
|
Signal processing -- Digital techniques
|
| Form |
Electronic book
|
| ISBN |
9783110625172 |
|
3110625172 |
|
9783110627978 |
|
3110627973 |
|
