Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: One-parameter robust global frequency estimator for slowly varying
  amplitude and noisy oscillations   Robust online estimation of oscillation frequency belongs to classical
problems of system identification and adaptive control. The given harmonic
signal can be noisy and with varying amplitude at the same time, as in the case
of damped vibrations. A novel robust frequency-estimation algorithm is proposed
here, motivated by the existing globally convergent frequency estimator. The
advantage of the proposed estimator is in requiring one design parameter only
and being robust against measurement noise and initial conditions. The proven
global convergence also allows for slowly varying amplitudes, which is useful
for applications with damped oscillations or additionally shaped harmonic
signals. The proposed analysis is simple and relies on an averaging theory of
the periodic signals. Our results show an exponential convergence rate, which
depends, analytically, on the sought frequency, adaptation gain and oscillation
amplitude. Numerical and experimental examples demonstrate the robustness and
efficiency of the proposed estimator for signals with slowly varying amplitude
and noise.

11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
17
The categories of this paper are: q-fin
5
The categories of this paper are: gr-qc
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph