2007-2008 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
In this paper, the additive white noise was filtered from chaotic signals obtained by Logistic map b...
We derive a locally projective noise reduction scheme for nonlinear time series using concepts from ...
Many nonlinear or chaotic time series exhibit an innate broad spectrum, which makes noise reduction ...
xx, 136 p. : ill. (some col.) ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EIE 2009 SunThis the...
Abstract:- This paper addresses the problem of noise reduction for chaotic signals. The existing app...
We introduce an algorithm for nonlinear noise reduction which is based on locally linear fits to the...
AbstractIn this paper, based on Local Projection (LP) algorithm, a new method for noise reduction in...
2007-2008 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
Many nonlinear or chaotic time series exhibit an innate broad spectrum, which makes noise reduction ...
Over the last decade a variety of new techniques for the treatment of chaotic time series has been d...
We propose an algorithm for the reduction of observational noise in chaotic multivariate time series...
We propose a noise reduction algorithm based on adaptive neighbourhood selection able to obtain high...
2005-2006 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
We present a noise-filtering scheme which works on a chaotic signal containing a certain level of no...
We present an adaptation of the standard Grassberger-Proccacia (GP) algorithm for estimating the cor...
In this paper, the additive white noise was filtered from chaotic signals obtained by Logistic map b...
We derive a locally projective noise reduction scheme for nonlinear time series using concepts from ...
Many nonlinear or chaotic time series exhibit an innate broad spectrum, which makes noise reduction ...
xx, 136 p. : ill. (some col.) ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EIE 2009 SunThis the...
Abstract:- This paper addresses the problem of noise reduction for chaotic signals. The existing app...
We introduce an algorithm for nonlinear noise reduction which is based on locally linear fits to the...
AbstractIn this paper, based on Local Projection (LP) algorithm, a new method for noise reduction in...
2007-2008 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
Many nonlinear or chaotic time series exhibit an innate broad spectrum, which makes noise reduction ...
Over the last decade a variety of new techniques for the treatment of chaotic time series has been d...
We propose an algorithm for the reduction of observational noise in chaotic multivariate time series...
We propose a noise reduction algorithm based on adaptive neighbourhood selection able to obtain high...
2005-2006 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
We present a noise-filtering scheme which works on a chaotic signal containing a certain level of no...
We present an adaptation of the standard Grassberger-Proccacia (GP) algorithm for estimating the cor...
In this paper, the additive white noise was filtered from chaotic signals obtained by Logistic map b...
We derive a locally projective noise reduction scheme for nonlinear time series using concepts from ...
Many nonlinear or chaotic time series exhibit an innate broad spectrum, which makes noise reduction ...