tailieunhanh - Báo cáo hóa học: " Performance of GCC- and AMDF-Based Time-Delay Estimation in Practical Reverberant Environments Jingdong Chen"

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: Performance of GCC- and AMDF-Based Time-Delay Estimation in Practical Reverberant Environments | EURASIP Journal on Applied Signal Processing 2005 1 25-36 2005 Hindawi Publishing Corporation Performance of GCC- and AMDF-Based Time-Delay Estimation in Practical Reverberant Environments Jingdong Chen Bell Laboratories Lucent Technologies Murray Hill NJ 07974 USA Email jingdong@ Jacob Benesty INRS-EMT Universite du Quebec 800 de la Gauchetiere Quest Suite 6900 Montreal Quebec Canada H5A 1K6 Email benesty@ Yiteng Arden Huang Bell Laboratories Lucent Technologies Murray Hill NJ 07974 USA Email arden@ Received 8 December 2003 Revised 8 June 2004 Recently there has been an increased interest in the use of the time-delay estimation TDE technique to locate and track acoustic sources in a reverberant environment. Typically the delay estimate is obtained through identifying the extremum of the generalized cross-correlation GCC function or the average magnitude difference function AMDF . These estimators are well studied and their statistical performance is well understood for single-path propagation situations. However fewer efforts have been reported to show their performance behavior in real reverberation conditions. This paper reexamines the GCC- and AMDF-based TDE techniques in real room reverberant and noisy environments. Our contribution is threefold. First we propose a weighted crosscorrelation WCC estimator in which the GCC function is weighted by the reciprocal of AMDF. This new method can sharpen the peak of the GCC function which corresponds to the true time delay and thus leads to a better estimation performance as compared to the conventional GCC estimator. Second we propose a modified version of the AMDF MAMDF estimator in which the delay is determined by jointly considering the AMDF and the average magnitude sum function AMSF . Third we compare the performance of the GCC AMDF WCC and MAMDF estimators in real reverberant and noisy environments. It is shown that the AMDF estimator can yield .

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