Quick search Find article
Quick search
Find article

Linear recursive filters and nonlinear dynamics

M E Davies and K M Campbell

Show affiliations


Recommended by I Procaccia

In this paper we investigate the effects of filtering a chaotic time series with a linear IIR filter. Using the Kaplan and Yorke conjecture it has been argued that such filtering can result in an increase in information dimension. Here we show that the filter dynamics induce an extended dynamical system and that this system possesses a globally attracting invariant graph over the base system. Using this framework we obtain sufficient conditions on the filter dynamics that guarantee that the dimension remains unchanged.


PACS

05.45.Tp Time series analysis

84.30.Vn Filters

84.40.Ua Telecommunications: signal transmission and processing; communication satellites

MSC

93E11 Filtering (See also 60G35)

37D45 Strange attractors, chaotic dynamics

37M10 Time series analysis

Subjects

Electronics and devices

Statistical physics and nonlinear systems

Dates

Issue 2 (March 1996)

Received 21 July 1995, in final form 9 November 1995



View by subject




Export








Please login to access our web services, or create an account if you don't yet have one.

You must have cookies enabled in your web browser to be able to login.

Username
Password

Forgotten your password? Get a new one here.