Time-Frequency Analysis and Its Applications to Multimedia Signals

Call for Papers

Time-frequency analysis has been intensively investigated and developed in the last two decades. The time-frequency distributions have found fruitful applications in numerous fields dealing with nonstationary signals, such as biomedical, radar as well as seismic and mechanical signals. Also, numerous applications are related with multimedia signals in speech, audio/music, as well as image and video signal processing. Having the different dimensionality of these signals in mind, time-frequency analysis for one-, two-, and three-dimensional signal should be used.

The fact that there is no time-frequency distribution that can be used for efficient representations of all kinds of nonstationary signals makes the theoretical considerations still challenging. For signals of high instantaneous frequency variation, complicated time-frequency distributions should be used. Moreover, improved forms of time-frequency distributions will further expand and diversify their applicability.

This special issue should benefit readers to understand how the time-frequency distributions could be used for the analysis of multimedia signals, with the consideration of the specific nature, complexity, and multidimensionality of these signals. Also, it aims to examine and highlight the appropriateness of some specific distributions for different applications, as well as to propose new methods and approaches together with their applications. In addition to original research articles, we are open to review articles as well. Topics of interest include, but are not limited to:

• Time frequency analysis of digital audio signals
• Time-varying filtering of digital audio signals
• Time-frequency-based compression of digital audio signals
• Two-dimensional time-frequency analysis of Images
• Space-varying filtering and compression based on two dimensional time-frequency analysis
• Time-frequency analysis of video signals
• Time-frequency-based digital watermarking
• Time-frequency-based motion parameters estimation in video sequences
• Time-frequency approaches in human-computer interaction
• New trends and theoretical developments in time-frequency analysis

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/asp/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:

Lead Guest Editor

• Srdjan Stankovic, Faculty of Electrical Engineering, University of Montenegro, Dzordza Vasingtona bb, 81000 Podgorica, Montenegro

Guest Editors

• Bijan Mobasseri, Center for Advanced Communications, Villanova University, Lancaster Avenue 800, Villanova, PA 19085, USA
• Sri Krishnan, Department of Electrical and Computer Engineering, Ryerson University, Victoria Street 350, Toronto, Ontario, Canada M5B 2K3
• Yimin Zhang, Center for Advanced Communications, Villanova University, Lancaster Avenue 800, Villanova, PA 19085, USA