Zobrazeno 1 - 10
of 38
pro vyhledávání: '"John M. Ozard"'
Autor:
Michael J. Wilmut, John M. Ozard
Publikováno v:
The Journal of the Acoustical Society of America. 104:3351-3355
Detection performance is evaluated for two efficient algorithms that track sources moving linearly at constant speed and depth. One of the algorithms uniformly weights the contributions from each ambiguity surface along the tracks examined, and the o
Autor:
Cedric A. Zala, John M. Ozard
Publikováno v:
Journal of Computational Acoustics. :223-243
Geoacoustic parameters were estimated for vertical array data from the matched-field inversion benchmark data sets. Separate inversions were performed for narrowband data at 25 Hz, 50 Hz and 75 Hz, using a matching function consisting of the incohere
Publikováno v:
The Journal of the Acoustical Society of America. 103:374-379
Tracking techniques may be used to reduce the ambiguity of an acoustic source’s position in matched-field processing, particularly for low signal-to-noise ratios. An efficient tracking algorithm was recently described, in which the performance woul
Publikováno v:
Journal of Computational Acoustics. :311-326
A tracking algorithm may be used to reduce the ambiguity of the positions of a moving underwater acoustic source. The objective of this paper is to evaluate two efficient target tracking algorithms suitable for use with Matched-Field Processing (MFP)
Publikováno v:
The Journal of the Acoustical Society of America. 98:2726-2734
Correlated ambient noise at an array can severely impair the ability of matched‐field processing and conventional processing to detect and localize an acoustic source. When components of the correlated noise field are stationary, however, their eff
Publikováno v:
Journal of Computational Acoustics. :187-197
Results are presented for the Matched Field Processing (MFP) analysis of synthetic benchmark cases, performed by a comprehensive Acoustic Signal Processing (ASP) code used in a turnkey manner. The performance of the Generalized Bartlett Beamformer (G
Autor:
Paul H. Lim, John M. Ozard
Publikováno v:
The Journal of the Acoustical Society of America. 95:138-151
Autor:
John M. Ozard, Paul H. Lim
Publikováno v:
The Journal of the Acoustical Society of America. 95:131-137
In a companion paper, the theory for the evaluation of the acoustic field of a moving source in range‐independent environments was developed [P. H. Lim and J. M. Ozard, J. Acoust. Soc. Am. 94, 131–137 (1993)]. In the present paper, the problem of
Autor:
Cedric A. Zala, John M. Ozard
Publikováno v:
The Journal of the Acoustical Society of America. 92:403-417
Publikováno v:
The Journal of the Acoustical Society of America. 90:2658-2663
Associative feedforward neural networks with no hidden layers were applied to the problem of localizing a source in range and depth using the acoustic signal arriving at a vertical array of sensors. A highly processed form of the signal (excitations