✦ LIBER ✦
Communications with chaotic time series: probabilistic methods for noise reduction
✍ Scribed by Dedieu, Hervé; Kisel, Andrey
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 130 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0098-9886
No coin nor oath required. For personal study only.
✦ Synopsis
The paper deals with noise decontamination of chaotic time series under the assumption that some a priori information about the system which produced the time series is known in advance. We show that this a priori information can be quite naturally used in standard maximum likelihood approaches. Focusing on low complexity implementations we derive di!erent quasioptimal maximum-likelihood solutions aimed at o!-line and on-line noise cleaning. The obtained results show attractive capabilities for on-line and low-cost implementation.