Adaptive time-frequency representations for multiple structures

Antonia Papandreou-Suppappola, Seth B. Suppappola

Research output: Chapter in Book/Report/Conference proceedingChapter

27 Scopus citations


We propose an adaptive quadratic time-frequency representation (QTFR) based on a matching pursuit signal decomposition that uses a dictionary with elements matched to the instantaneous frequency of the analysis signal components. We form the QTFR as a weighted linear superposition of QTFRs chosen by the algorithm to provide a highly localized representation for each of the adaptively selected dictionary elements. This is advantageous as the resulting representations are parsimonious and reduce the effect of cross terms. Also, they exhibit maximum time-frequency localization for the difficult analysis case of signals with multiple components that have different time-frequency characteristics. Thus, the new technique can be used to analyze and classify multi-structure signal components as demonstrated by our synthetic and real data simulation examples.

Original languageEnglish (US)
Title of host publicationIEEE Signal Processing Workshop on Statistical Signal and Array Processing, SSAP
Place of PublicationLos Alamitos, CA, United States
Number of pages5
StatePublished - 2000
EventProceedings of the 10th IEEE Workshop on Statiscal and Array Processing - Pennsylvania, PA, USA
Duration: Aug 14 2000Aug 16 2000


OtherProceedings of the 10th IEEE Workshop on Statiscal and Array Processing
CityPennsylvania, PA, USA

ASJC Scopus subject areas

  • General Engineering


Dive into the research topics of 'Adaptive time-frequency representations for multiple structures'. Together they form a unique fingerprint.

Cite this