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| AN OVERVIEW OF THE HARMONIC RETRIEVAL IN NOISE |
| Liang Yingchang; Zhang Xianda; Li Yanda |
| Department of Automation,Tsinghua University, Beijing 100084 |
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Abstract Recently, Higher-order statistics have become powerful tools in signal processing field and have been applicable in harmonic retrieval. This paper first analyses the existing correlation-based methods for harmonic retrieval; then summarizes the newly developed higher-order statistics-based approaches and pre-filtering-based methods with hybrid higher-order statistics for estimating parameters of harmonics in noise. It is shown that higher-order statistics-based approaches are superior to correlation based approaches in restraining colored noise and retrieving useful information of harmonics.
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Received: 27 June 1994
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1995, Vol. 17 
