The significance of features derived from complex analytic domain representation of speech, for different applications, is investigated. Frequency domain linear prediction (FDLP) coefficients are derived from analytic magnitude and instantaneous frequency (IF) coefficients are derived from analytic phase of speech signals. Minimal pair ABX (MP-ABX) tasks are used to analyse different features a...

This paper deals with mechanical fault diagnosis in three-phase induction machines from stator current measurements. According to machine models, mechanical faults lead to amplitude and/or phase modulations of the measured stator current with possibly time varying carrier frequency. The modulation diagnosis requires a univocal definition of the instantaneous phase and amplitude. This is perform...

There have been different approaches to compute the analytic instantaneous frequency with a variety of background reasoning and applicability in practice, as well as restrictions. This paper presents an adaptive Fourier decomposition and (α-counting) based instantaneous frequency computation approach. The adaptive Fourier decomposition is a recently proposed new signal decomposition approach. T...

Saalasti, Sami Neural Networks for Heart Rate Time Series Analysis Jyväskylä: University of Jyväskylä, 2003, 192 p. (Jyväskylä Studies in Computing ISSN 1456-5390; 33) ISBN 951-39-1637-5 Finnish summary Diss. The dissertation introduces method and algorithm development for nonstationary, nonlinear and dynamic signals. Furthermore, the dissertation concentrates on applying neural networks for ti...

In this paper we describe a sinusoidal analysis and synthesis framework which uses a novel method of extracting the sinusoidal components and fundamental frequency. This method is based on a mapping from linearly spaced filter centre frequencies to the instantaneous frequencies of the filter outputs. Frequency domain fixed points are obtained from this mapping which result in the extraction of ...

1 AbstractThe estimation of time-varying instantaneous frequency for monocomponent signals with incomplete set of samples is considered. A suitable time-frequency distribution reduces the nonstationary signal into a local sinusoid over the lag variable prior to Fourier transform. Accordingly, the observed spectral content becomes sparse and suitable for compressive sensing reconstruction in the...

In this paper, a new method for obtaining a time-frequency representation of instantaneous frequency is introduced. A Kalman filter serves for dissociation of signal into modes with well defined instantaneous frequency. A second order resonator model is used as a model of signal components – ‘monocomponent functions’. Simultaneously, the Kalman filter estimates the time-varying signal component...

We give the relationship between instantaneous frequency estimation via the derivative of the phase of the analytic signal and the first moment of general time-frequency representations from Cohen’s Manuscript received March, 2, 1990; revised January 25, 1992. This work was supported by the Australian Research Council. B. C. Lovell and B. Boashash are with the Department of Electrical Engineeri...

This paper explores the method of reassignment for extracting instantaneous frequency attributes from seismic data. The reassignment method was rst applied to the spectrogram by Kodera, Gendrin and de Villedary [5] and later generalized to any bilinear time-frequency or time-scale representation by Auger and Flandrin [1]. Key to the method is a nonlinear convolution where the value of the convo...