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A Nonparametric Approach for Multicomponent AM–FM Signal Analysis
Circuits, Systems, and Signal Processing, 2020In this paper, a novel method is presented to analyze the amplitude modulated and frequency modulated (AM–FM) multicomponent signals using a combination of the variational mode decomposition (VMD) and the discrete energy separation algorithm (DESA). In the presented method, firstly, a multicomponent signal is decomposed using VMD method applied in an ...
Abhay Upadhyay +3 more
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Spectral-temporal decomposition of multicomponent signals
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing, 2003The method is based on autoregressive modeling of the composite signal with an adaptive filter bank. An illustrative example is given for a speech signal. >
K.T. Assaleh, R.J. Mammone
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Application of ARMA Modeling to Multicomponent Signals
IFAC Proceedings Volumes, 1985Abstract This paper investigates the problem of estimating the parameters of a multicomponent signal observed in noise. The process is modeled las a special nonstationary autoregressive moving average (ARMA) process. The parameters of the multicomponent signal are determined from the spectral estimate of the ARMA model The spectral lines are closely ...
S.T. Nichols, M.R. Smith, M.J.E. Salami
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Multicomponent signal detection: Tones in noise
Proceedings of Meetings on Acoustics, 2013In order to predict the detectability of broadband acoustic signals, a model must include a means of integrating information across frequencies. There have been several previous studies measuring the detectability of multicomponent signals, but it is still not clear what the best model is when signal components are not equally detectable or equal in ...
Eric R. Thompson +2 more
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Instantaneous frequency of mono and multicomponent signals
Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380), 2002It has often been reported and is now well established that the traditional definition of instantaneous frequency (IF/sub t/) fails in the presence of multicomponent signals. New definitions of IF/sub t/ have been proposed, in an attempt to cope with the difficulties of the traditional one.
P.M. Oliveira, V. Barroso
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On the Use of Time-Frequency Representation in Multicomponent Signal Separation
2006 IEEE International Conference on Multimedia and Expo, 2006In this paper, we address the problem of separating unknown multi-component signals from their instantaneous mixtures. Using linear time-frequency (TF) representation of the mixtures along with vectors classification scheme provide us a simple and efficient technique to separate multicomponent signals. The proposed algorithm can handle monocomponent as
Braham Barkat +2 more
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IF Estimation of Multicomponent Nonstationary Signals Based on AFSST
Circuits, Systems, and Signal Processing, 2023Li Jiang +5 more
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Detection of Multicomponent Auditory Signals in Noise
The Journal of the Acoustical Society of America, 1957How can the detection of a multicomponent signal be predicted if the detection of each single component of the complex signal is known? In the detection of a single sinusoidal signal, Fletcher's critical-band hypothesis asserts that all but a narrow band of frequencies near the signal to be detected may be ignored.
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Identification of the parameters of a multicomponent signal class
Proceedings of the IEEE, 1978Cohn-Sfetcu et al., in the multicomponent signal analysis decaying with time, generalized a method initially used for multi-component exponential decays. This letter presents an extension of this method to multicomponent signals of different asymptotic behavior.
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