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This paper addresses the cocktail-party problem inside integrated circuits with multiple noise sources.
Multiple reference active noise control (MRANC) has been applied to acoustical fields with multiple noise sources to achieve low frequency noise reduction.
Analysis of individual noise sources in pre-nanometer circuits cannot take into account the evolving reality of multiple noise sources interacting with each other.
Because the acoustic environments of construction sites include multiple noise sources from various construction machines, it is necessary to consider the influence of combined noise on annoyance.
The method for mixture distribution model is suitable to various microarray data types obtained from single noise sources, or from multiple noise sources.
The tool focuses on the open-loop identification of a SISO fifth-order system subject to multiple noise sources using classical prediction-error methods.
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Further, reported annoyance to multiple noise source environments can be higher than predicted by conventional Leq.
This configuration has been widely adopted due to its potential performance in a general multiple noise source environment.
In particular, I am deeply concerned about the continued loss of marine animal acoustic habitat as a result of multiple anthropogenic noise sources operating over large scales for extended periods of time.
An improved sound field model with multiple propeller noise sources and finite fuselage boundary has been developed for the prediction of propeller aircraft noise by using the acoustic analogy method.
The sound field model with multiple propeller noise sources and finite fuselage boundary developed for the prediction of propeller aircraft noise in reference [1] has been improved to take into consideration the effects of vibrating fuselage boundary.
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