A Probabilistic Evaluation Method of Discriminating System Characteristics from Background Noise by Use of Multi-Output Observations in a Complicated Sound Environment

Noboru NAKASAKO  Mitsuo OHTA 

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences  Vol.E79-A  No.8  pp.1252-1255
Publication Date: 1996/08/20
Online ISSN: 
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section on Digital Signal Processing)
Category: 
Keyword: 
sound insulation system,  SEA method,  background noise,  equivalence of moment statistics,  simultaneous multi-output observations,  prediction of response probability, 

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Summary: 
This paper describes a trial of evaluating the proper characteristics of multiple sound insulatain systems from their output responses contaminated by unknown background noises. The unknown parameters of sound insulation systems are first estimated on the basis of hte linear time series on an intensity scale, describing functionally the input-output relation of the systems. Then, their output probability distributions are predicted when an arbitrary input noise passes through these insulation systems.