Show simple item record

Author Rankine, Len_US
Author Mesbah, Men_US
Author Boashash, Ben_US
Available date 2011-07-26T05:09:14Zen_US
Available date 2015-02-01T08:24:46Z
Publication Date 2006-03en_US
Publication Name Signal Processing
Citation Signal Processing Volume 87, Issue 6, June 2007, Pages 1234-1250en_US
Identifier doi:10.1016/j.sigpro.2006.10.013en_US
URI http://hdl.handle.net/10576/10723en_US
URI http://dx.doi.org/10.1016/j.sigpro.2006.10.013
Description This is one of the 1st papers to apply image processing techniques to analyse multicomponent signals with TFDs using image processing techniques (The most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia., and then continuously updated).en_US
Abstract This paper presents a method for estimating the instantaneous frequency (IF) of multicomponent signals. The technique involves, firstly, the transformation of the one-dimensional signal to the two-dimensional time–frequency (TF) domain using a reduced interference quadratic TF distribution. IF estimation of signal components is then achieved by implementing two image processing steps: local peak detection of the TF representation followed by an image processing technique called component linking. The proposed IF estimator is tested on noisy synthetic monocomponent and multicomponent signals exhibiting linear and nonlinear laws. For low signal-to-noise ratio (SNR) environments, a TF peak filtering preprocessing step is used for signal enhancement. Application of the IF estimation scheme to real signals is illustrated with newborn EEG signals. Finally, to illustrate the potential use of the proposed IF estimation method in classifying signals based on their TF components’ IFs, a classification method using least squares data-fitting is proposed and illustrated on synthetic and real signals.en_US
Language enen_US
Publisher Elsevieren_US
Subject instantaneous frequencyen_US
Subject multicomponent signalsen_US
Subject time-frequency representationen_US
Subject Image Processingen_US
Subject EEGen_US
Subject time-frequency analysisen_US
Subject time-frequency distributionsen_US
Subject time-frequency signal processingen_US
Subject quadratic time-frequency distributionsen_US
Subject Reduced interference TFDsen_US
Subject seizureen_US
Title IF estimation for multicomponent signals using image processing techniques in the time–frequency domainen_US
Type Articleen_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record