研究目的
To develop a computationally efficient pitch and DOA estimation algorithm by utilizing the structure of a spatio-temporal signal model.
研究成果
The proposed ESPRIT-based method for joint estimation of the pitch and DOA is computationally more efficient than existing methods and performs similarly. The method is effective on both synthetic and real-life data.
研究不足
The method assumes that the number of sources and the number of harmonics are known a priori, or determined with some available methods.
1:Experimental Design and Method Selection:
The ESPRIT method based on subspace techniques is used to estimate the multi pitch frequencies of multiple harmonic signals.
2:Sample Selection and Data Sources:
Synthetic data and real-life recorded data are used.
3:List of Experimental Equipment and Materials:
A uniform linear array with inter-element spacing is used.
4:Experimental Procedures and Operational Workflow:
The ESPRIT method is applied to estimate the pitch and DOA parameters.
5:Data Analysis Methods:
The root mean square error (RMSE) is used to evaluate the estimation accuracy.
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