Mathematics – Dynamical Systems
Scientific paper
Jul 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002aipc..622...27o&link_type=abstract
EXPERIMENTAL CHAOS: 6th Experimental Chaos Conference, Proceedings of a conference held in Potsdam, Germany, 22-25 July 2001. Ed
Mathematics
Dynamical Systems
Chaos, Coding, Dynamical Systems, Noise, Nonlinear Systems, Signal Processing, Signals, Time Series Analysis, Waveforms, Control Of Chaos, Applications Of Chaos, Data Analysis: Algorithms And Implementation, Data Management
Scientific paper
Nonlinear systems exhibiting chaotic behavior can be considered as a source of a great variety of signals. Given a time series measured from a known or an unknown dynamical system we address a series of problems, such as section-wise approximation of the measured signal by pieces of trajectories from a chosen nonlinear dynamical system (model) signal restoration when the measured signal has been corrupted e.g. by quantization; signal coding and compression. The key to attack these problems is estimation of the initial conditions for a dynamical system which is used as the generator of approximating waveforms.
No associations
LandOfFree
Chaos-Based Signal Processing 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 Chaos-Based Signal Processing, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Chaos-Based Signal Processing will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-959432