Báo cáo hóa học: " Research Article Adaptive Rate Sampling and Filtering Based on Level Crossing Sampling"

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: Research Article Adaptive Rate Sampling and Filtering Based on Level Crossing Sampling | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 971656 12 pages doi 2009 971656 Research Article Adaptive Rate Sampling and Filtering Based on Level Crossing Sampling Saeed Mian Qaisar 1 Laurent Fesquet EURASIP Member 1 and Marc Renaudin2 1 TIMA CNRS UMR 5159 46 avenue Felix-Viallet 38031 Grenoble Cedex France 2Tiempo SAS 110 Rue Blaise Pascal Bat Viseo-Inovallee 38330 Montbonnot Saint Martin France Correspondence should be addressed to Saeed Mian Qaisar Received 11 August 2008 Revised 31 December 2008 Accepted 14 April 2009 Recommended by Sven Nordholm The recent sophistications in areas of mobile systems and sensor networks demand more and more processing resources. In order to maintain the system autonomy energy saving is becoming one of the most difficult industrial challenges in mobile computing. Most of efforts to achieve this goal are focused on improving the embedded systems design and the battery technology but very few studies target to exploit the input signal time-varying nature. This paper aims to achieve power efficiency by intelligently adapting the processing activity to the input signal local characteristics. It is done by completely rethinking the processing chain by adopting a non conventional sampling scheme and adaptive rate filtering. The proposed approach based on the LCSS Level Crossing Sampling Scheme presents two filtering techniques able to adapt their sampling rate and filter order by online analyzing the input signal variations. Indeed the principle is to intelligently exploit the signal local characteristics which is usually never considered to filter only the relevant signal parts by employing the relevant order filters. This idea leads towards a drastic gain in the computational efficiency and hence in the processing power when compared to the classical techniques. Copyright 2009 Saeed Mian Qaisar et al. This is an open access article distributed

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