2020 年 41 巻 1 号 p. 269-275
Estimating and interpolating a sound field from measurements using multiple microphones are fundamental tasks in sound field analysis for sound field reconstruction. The sound field reconstruction inside a source-free region is achieved by decomposing the sound field into plane-wave or harmonic functions. When the target region includes sources, it is necessary to impose some assumptions on the sources. Recently, it has been increasingly popular to apply sparse representation algorithms to various sound field analysis methods. In this paper, we present an overview of sparsity-based sound field reconstruction methods and also demonstrate their application to sound field recording and reproduction.