tailieunhanh - Báo cáo hóa học: " Editorial Time-Frequency Analysis and Its Applications to Multimedia Signals"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Time-Frequency Analysis and Its Applications to Multimedia Signals | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 739017 3 pages doi 2010 739017 Editorial Time-Frequency Analysis and Its Applications to Multimedia Signals Srdjan Stankovic 1 Sridhar Krishnan 2 Bijan Mobasseri 3 and Yimin Zhang3 1 University of Montenegro Faculty of Electrical Engineering Dzordza Vasingtona bb 20000 Podgorica Montenegro 2 Department of Electrical and Computer Engineering Ryerson University Toronto ON Canada 3 Center for Advanced Communications Villanova University Villanova PA 19085 USA Correspondence should be addressed to Srdjan Stankovic srdjan@ Received 31 December 2010 Accepted 31 December 2010 Copyright 2010 Srdjan Stankovic et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Time-frequency analysis has been intensively investigated and developed in the last two decades. A variety of timefrequency distributions have been developed to provide efficient analysis of signals with a time-varying spectral content. In most cases signal analyses in the joint timefrequency domain outperform the traditional frequencydomain approaches. Generally the time-frequency distributions have found fruitful applications in many important fields dealing with nonstationary signals such as biomedical radar seismic telecommunications and mechanical engineering. Additionally a large number of applications are related to multimedia signals in speech audio music image and video signal processing where time-frequency analysis can be employed to broaden and enhance the signal processing capabilities. Because each type of multimedia signals has its specific nature that may significantly differ from others the applicability and method of time-frequency analysis depend on the multimedia data to be processed. This fact opens a number of .