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AuthorKhan, N. A.
AuthorBoashash, B.
Available date2015-11-05T13:23:45Z
Publication Date2015
Publication NameInternational Journal Adaptive Control and Signal Processing
ResourceWiley Online Library
CitationKhan, N. A., and Boashash, B. (2015) Multi-component instantaneous frequency estimation using locally adaptive directional time frequency distributions. International Journal Adaptive Control and Signal Processing
ISSN1099-1115
URIhttp://dx.doi.org/10.1002/acs.2583
URIhttp://hdl.handle.net/10576/3742
AbstractThis paper presents a locally adaptive time-frequency (t,f) method for estimating the instantaneous frequency (IF) of multi-component signals. A high-resolution adaptive directional time-frequency distribution (ADTFD) is defined by locally adapting the direction of its smoothing kernel at each (t,f) point based on the direction of the energy distribution in the (t,f) domain. The IF of signal components is then estimated from the ADTFD using an image processing algorithm. Using the mean square error between the original IF and estimated IF as a performance criterion, experimental results indicate that the ADTFD gives better IF estimation performance compared with other TFDs for a multi-component signal. For example, for signal-to-noise ratio of 12dB, the IF estimate obtained using the ADTFD achieves a mean square error of ?42dB for a weak signal component, which is an improvement of ?12dB compared with other TFDs.
Languageen
PublisherJohn Wiley & Sons, Ltd.
Subjectadaptive time-frequency distribution
multi-component signals
instantaneous frequency estimation
directional kernel
local adaptation
TitleMulti-component instantaneous frequency estimation using locally adaptive directional time frequency distributions
TypeArticle
dc.accessType Abstract Only


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