An efficient algorithm for instantaneous frequency estimation of nonstationary multicomponent signals in low SNR
A method for components instantaneous frequency (IF) estimation of multicomponent signals in low signal-to-noise ratio (SNR) is proposed. The method combines a new proposed modification of a blind source separation (BSS) algorithm for components separation, with the improved adaptive IF estimation procedure based on the modified sliding pairwise intersection of confidence intervals (ICI) rule. The obtained results are compared to the multicomponent signal ICI-based IF estimation method for various window types and SNRs, showing the estimation accuracy improvement in terms of the mean squared error (MSE) by up to 23%. Furthermore, the highest improvement is achieved for low SNRs values, when many of the existing methods fail.
- Electrical Engineering [2388 items ]
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Salman T.; Badawy A.; Elfouly T.M.; Khattab T.; Mohamed A. ( IEEE Computer Society , 2014 , Conference Paper)Signal-to-noise ratio (SNR) estimation is an important parameter that is required in any receiver or communication systems. It can be computed either by a pilot signal data-aided approach in which the transmitted signal ...
A comparison of quadratic TFDs for entropy based detection of components time supports in multicomponent nonstationary signal mixtures Saulig, N.; Sucic, V.; Boashash, B.; Sersic, D. ( IEEE , 2013 , Conference Paper)Separation of different signal components, produced by one or more sources, is a problem encountered in many signal processing applications. This paper proposes a fully automatic undetermined blind source separation method, ...
Sadeghzadeh-Nokhodberiz, Nargess; Davoodi, Mohammadreza; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, the problem of event-triggered (ET) state estimation is studied for nonlinear non-Gaussian systems. Particle filtering (PF) state estimation approach is developed for systems with stochastic ET measurements ...