A highly adaptive directional time–frequency distribution. Issue 7 (October 2016)

• Record Type: Journal Article
• Authors: Mohammadi, Mokhtar; Pouyan, Ali; Khan, Nabeel
• Is Part Of: Signal, image and video processing. Volume 10:Issue 7(2016)
• Page Start: 1369
• Page End: 1376
• Publication Date: 2016-10
• Subjects: Double-derivative directional Gaussian lter -- Adaptive directional time–frequency distribution -- Cross-term -- Wigner–Ville distribution; Signal processing -- Digital techniques -- Periodicals; Image processing -- Digital techniques -- Periodicals; Digital video -- Periodicals; 621.3822
• DOI: 10.1007/s11760-016-0901-x
• Languages: English
• ISSNs: 1863-1703

Abstract

Abstract This paper presents an automatic method of computing a high-resolution adaptive time–frequency distribution. A recently developed locally adaptive directional time–frequency distribution (ADTFD) achieves high energy concentration and cross-term suppression, but it requires manual tuning of certain parameters. One set of parameters is not applicable to all types of signals. Moreover, the ADTFD fails to achieve optimum results when a given signal has both short-duration signal components and close components. This paper overcomes the limitation of the ADTFD by locally adapting the shape of the filter. Experimental results demonstrate the efficacy of the proposed approach for a large class of signals.