Digital Processing of Random Oscillations / / Viacheslav Karmalita.
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 p...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019 |
---|---|
VerfasserIn: | |
MitwirkendeR: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2019] ©2019 |
Year of Publication: | 2019 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (VII, 90 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Frontmatter
- Preface
- Contents
- Introduction
- 1. Discrete model of random oscillations
- 2. Estimation of random oscillation characteristics
- 3. Estimates accuracy
- 4. Experimental validation of autoregressive method
- References
- Index