期刊
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
卷 -, 期 -, 页码 -出版社
SPRINGER
DOI: 10.1186/1687-6180-2012-1
关键词
multi-pitch estimation; direction-of-arrival estimation; subspace orthogonality; array processing
资金
- Marie Curie EST-SIGNAL Fellowship [MEST-CT-2005-021175]
In this article, we present a novel method for high-resolution joint direction-of-arrivals (DOA) and multi-pitch estimation based on subspaces decomposed from a spatio-temporal data model. The resulting estimator is termed multi-channel harmonic MUSIC (MC-HMUSIC). It is capable of resolving sources under adverse conditions, unlike traditional methods, for example when multiple sources are impinging on the array from approximately the same angle or similar pitches. The effectiveness of the method is demonstrated on a simulated an-echoic array recordings with source signals from real recorded speech and clarinet. Furthermore, statistical evaluation with synthetic signals shows the increased robustness in DOA and fundamental frequency estimation, as compared with to a state-of-the-art reference method.
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