@article{(Open Science Index):https://publications.waset.org/pdf/9998599,
	  title     = {Estimating 3D-Position of A Stationary Random Acoustic Source Using Bispectral Analysis of 4-Point Detected Signals},
	  author    = {Katsumi Hirata},
	  country	= {},
	  institution	= {},
	  abstract     = {To develop the useful acoustic environmental
recognition system, the method of estimating 3D-position of a
stationary random acoustic source using bispectral analysis of
4-point detected signals is proposed. The method uses information
about amplitude attenuation and propagation delay extracted from
amplitude ratios and angles of auto- and cross-bispectra of the
detected signals. It is expected that using bispectral analysis affects
less influence of Gaussian noises than using conventional power
spectral one. In this paper, the basic principle of the method is
mentioned first, and its validity and features are considered from
results of the fundamental experiments assumed ideal circumstances.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {6},
	  year      = {2014},
	  pages     = {939 - 942},
	  ee        = {https://publications.waset.org/pdf/9998599},
	  url   	= {https://publications.waset.org/vol/90},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 90, 2014},
	}