Evaluation of noise sources is difficult when there are multiple sources and the interaction among them is complex. Holography is an inverse solution technology in which one can identify and rank sources using near field sound measurement. Holography has been traditionally applied for simple geometry such as planar, cylindrical or spherical surfaces. In this project, identification of coherent, incoherent and partially coherent sources in complex structures using measurements taken using flexible non-planar layout is developed. Extensive regularization techniques (such as Tikhonov, Morozov principle, Generalized Cross Validation etc.) are developed as part of the project.