Predicting low-dimensional spatiotemporal dynamics using discrete wavelet transforms

Details Predicting low-dimensional spatiotemporal dynamics using discrete wavelet transforms Predicting low-dimensional spatiotemporal dynamics using discrete wavelet transforms

Apr 1995

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995phrve..51.2709p&link_type=abstract

Physical Review E (Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics), Volume 51, Issue 4, April 1995,

Statistics

Computation

8

Computational Techniques, Simulations, Approximation Methods, Equations Of Motion

Scientific paper

A method is presented for predicting spatiotemporal time series whose dynamics is generated by a low-dimensional deterministic dynamical system. It is based on a combination of time delay embedding and wavelet expansion and is also applicable in cases where the dynamics may not be linearly decomposed into the evolution of a small number of spatial modes. As an example, we predict chaotic transversal motions of two Gaussian pulses along a one-dimensional axis.

Affiliated with

Also associated with

No associations

Rating

Predicting low-dimensional spatiotemporal dynamics using discrete wavelet transforms does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Predicting low-dimensional spatiotemporal dynamics using discrete wavelet transforms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Predicting low-dimensional spatiotemporal dynamics using discrete wavelet transforms will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1694069