نتایج جستجو برای: dominant instantaneous frequency

تعداد نتایج: 622408  

Journal: :journal of research in health sciences 0
rostam golmohammadi mohammad reza monazzam maryam nourollahi ali nezafat samaneh momen bellah fard

background: the adverse effects of noise are well known and noise problems due to industrialization of communities are increasing over the time. oil industries due to the process and nature of production; contain many noise sources such as compressors, turbines, and pumps, which cause excessive noise exposure. the objective of this study was to evaluate the noise characteristics of compressors ...

2015
Raghavendra Reddy Pappagari Karthika Vijayan K. Sri Rama Murty

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...

2009
Baptiste Trajin Marie Chabert Jean Faucher

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...

2012
Liming Zhang

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...

2000
Parham Zolfaghari Hideki Kawahara

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 ...

2007
Jindrich Liska Eduard Janecek

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...

Journal: :IEEE Trans. Signal Processing 1993
Brian C. Lovell Robert C. Williamson Boualem Boashash

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...

1998
Jan E. Odegard Richard G. Baraniuk Kurt L. Oehler

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...

Journal: :IEEE Trans. Signal Processing 2003
Veselin N. Ivanovic Milos Dakovic LJubisa Stankovic

General performance analysis of the shift covariant class of quadratic timefrequency distributions (TFDs) as instantaneous frequency (IF) estimators, for an arbitrary frequency-modulated (FM) signal, is presented. Expressions for the estimation bias and variance are derived. This class of distributions behaves as an unbiased estimator in the case of monocomponent signals with a linear IF. Howev...

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