tailieunhanh - Báo cáo hóa học: " Research Article Automatic Threshold Determination for a Local Approach of Change Detection in Long-Term Signal Recordings"

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 Automatic Threshold Determination for a Local Approach of Change Detection in Long-Term Signal Recordings | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 24748 7 pages doi 2007 24748 Research Article Automatic Threshold Determination for a Local Approach of Change Detection in Long-Term Signal Recordings Wassim El Falou 1 2 Mohamad Khalil 2 Jacques Duchene 1 and David Hewson1 1 Institut des Sciences et Technologies de l Information Universite de Technologie de Troyes France 2Facultéde Genie I Universite Libanaise Tripoli Lebanon Received 18 October 2006 Revised 26 January 2007 Accepted 27 April 2007 Recommended by Gloria Menegaz CUSUM cumulative sum is a well-known method that can be used to detect changes in a signal when the parameters of this signal are known. This paper presents an adaptation of the CUSUM-based change detection algorithms to long-term signal recordings where the various hypotheses contained in the signal are unknown. The starting point of the work was the dynamic cumulative sum DCS algorithm previously developed for application to long-term electromyography EMG recordings. DCS has been improved in two ways. The first was a new procedure to estimate the distribution parameters to ensure the respect of the detectability property. The second was the definition of two separate automatically determined thresholds. One of them lower threshold acted to stop the estimation process the other one upper threshold was applied to the detection function. The automatic determination of the thresholds was based on the Kullback-Leibler distance which gives information about the distance between the detected segments events . Tests on simulated data demonstrated the efficiency of these improvements of the DCS algorithm. Copyright 2007 Wassim El Falou 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. 1. INTRODUCTION Change detection and .

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