Results 261 to 270 of about 191,656 (292)

2-D phase unwrapping and instantaneous frequency estimation

IEEE Transactions on Geoscience and Remote Sensing, 1995
The phase of complex signals is wrapped since it can only be measured modulo-2/spl pi/; unwrapping searches for the 2/spl pi/-combinations that minimize the discontinuity of the unwrapped phase, as only the unwrapped phase can be analyzed and interpreted by further processing.
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Instantaneous frequency estimation of polynomial phase signals

Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380), 2002
We develop a new multi-window time-frequency method for estimating the instantaneous frequency (IF) of constant amplitude polynomial FM signals in the presence of noise. The method is computationally simple, asymptotically unbiased for noise-free signals, and provides a signal to noise ratio (SNR) threshold improvement of about 3 dB over other ...
F. Cakrak, P.J. Loughlin
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A Synchrosqueezing Transform based Instantaneous Frequency Estimator

2019 IEEE 9th International Conference on Electronics Information and Emergency Communication (ICEIEC), 2019
Instantaneous frequency is an important concept in signal processing. The instantaneous frequency estimated by the conventional Hilbert transform is susceptible to noise; even little noise will greatly influence the accuracy of estimation. We propose a robust method to estimate instantaneous frequency.
Ping Wang, Xianyu Wang
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Instantaneous mean frequency estimation using adaptive time-frequency distributions

Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555), 2002
Analysis of non-stationary signals is a challenging task. True non-stationary signal analysis involves monitoring the frequency changes of the signal over time (i.e., monitoring the instantaneous frequency (IF) changes). The IF of a signal is traditionally obtained by taking the first derivative of the phase of the signal with respect to time.
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New method to heart instantaneous frequency estimation

Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004., 2005
In this work, we propose a method for estimating the heart instantaneous frequency, which is a manner to estimate the heart rate variability, in an on-line fashion. We develop a driver function, which estimates the fundamental frequency of an ECG, based on a new autoregressive method called exponential autoregressive method.
M. Santos, J.V. Fonseca, A.K. Barros
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Instantaneous Frequency Estimation of Monocomponent Signals

2011
Instantaneous frequency (IF) is a key parameters which provides crucial information about time-varying spectral changes in a non-stationary signal. The IF estimation error exhibits variance and bias dependant on the TFR analysis window width such that the bias increases and variance decreases as the window length increases.
Saulig, Nicoletta, Lerga, Jonatan, Sučić, Viktor   +2 more
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Instantaneous Frequency Estimators as Voltage Disturbance Detectors

2006 IEEE PES Power Systems Conference and Exposition, 2006
The instantaneous frequency gives a frequency value at a time instance. Thus, it is natural to use the instantaneous frequency for detecting disturbances of voltage signal in power line. Various instantaneous frequency estimators are introduced. By applying to different types of disturbed signals, we show the estimators' ability to classify flickers ...
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Instantaneous Frequency Estimation of Multicomponent Signals

2011
One of the key parameters which provides important information about time-varying spectral changes in a non-stationary signal is its instantaneous frequency (IF). The most challenging IF estimation problem is to find the individual component IF of a multicomponent non-stationary signal corrupted by noise.
Saulig, Nicoletta, Lerga, Jonatan, Sučić, Viktor   +2 more
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Online pitch estimation using instantaneous complex frequency

2011 20th European Conference on Circuit Theory and Design (ECCTD), 2011
The paper presents new results of pitch estimation for speech signals obtained using a pipeline algorithm. The algorithm uses instantaneous complex frequency to perform voiced/unvoiced classification and estimate the fundamental frequency for each sample of the speech signal. Its performance is evaluated using two databases containing utterances spoken
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Structured autoregressive instantaneous phase and frequency estimation

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
A new approach to estimate the phase and amplitude signal parameters of a quite general class of complex valued signals is presented. The proposed algorithm can estimate the signal parameters of a sum of complex signals, the amplitudes may be time varying and the phase functions are modelled by some continuous functions a/sub l/(t).
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