Extending coherence time for analysis of modulated random processes
作者： Scott Wisdom , Les Atlas , James Pitton
DOI: 10.1109/ICASSP.2014.6853614
关键词: Frequency modulation 、 Algorithm 、 Stochastic process 、 Mathematics 、 Sonar 、 Estimator 、 Speech recognition 、 Coherence time 、 Fundamental frequency 、 Relaxation (iterative method) 、 Noise (electronics)
摘要: In this paper, we relax a commonly-used assumption about class of nonstationary random processes composed modulated wide-sense stationary processes: that the fundamental frequency modulator is within analysis window. To compensate for relaxation assumption, define generalized DEMON (“demodulated noise”) spectrum representing modulation frequency, which use to increase coherence time such signals. Increased means longer windows, provides higher SNR estimators. We example detection on both synthetic and real-world passive sonar signals demonstrate increase.
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