Parameter identification using the Hilbert transform

Details Parameter identification using the Hilbert transform Parameter identification using the Hilbert transform

2002-10-27

arxiv.org/abs/physics/0210108v1

Physics

Data Analysis, Statistics and Probability

6 pages, 2 figures, LaTeX source in AIP style

Scientific paper

Many physical systems can be adequately modelled using a second order approximation. The problem of plant identification reduces to the problem of estimating the position of a single pair of complex conjugate poles. One approach to the problem is to apply the method of least squares to the time domain data. This type of computation is best carried out in "batch" mode and applies to an entire data set. Another approach would be to design an adaptive filter and to use autoregressive, AR, techniques. This would be well suited to continuous real-time data and could track slow changes on the underlying plant. I this paper we present a very fast but approximate technique for the estimation of the position of a single pair of complex conjugate poles, using the Hilbert transform to reconstruct the analytic signal.

Affiliated with

Also associated with

No associations

Rating

Parameter identification using the Hilbert transform 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 Parameter identification using the Hilbert transform, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Parameter identification using the Hilbert transform will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-409106