This paper deals with the inverse analysis method to estimate the locations of noise sources by Nearfield Acoustical Holography (NAH) using Singular Value Decomposition (SVD), partial coherent function and MUltiple SIgnal Classificaton (MUSIC) algorithm. In the point of view of noise reduction, noise source identification has to be the basic issue. In this paper, the basic theory of NAH and techniques to identify the multiple noise sources are investigated. The comparison of each technique of eliminating the measurement noise is given to show their characteristics by numerical simulations and real expeiment. The proposed optimal reference microphones can be used to the identification of sound source locations and reconstruction of sound sources accurately.
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