期刊
IEEE SIGNAL PROCESSING LETTERS
卷 29, 期 -, 页码 2367-2371出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LSP.2022.3222949
关键词
Nonparametric spectral estimation; cepstral coefficients; FDR; FER; periodogram; multiple hypothesis testing
资金
- Swedish Research Council [2017-04610, 2016-06079, 2021-05022]
- Swedish Research Council [2021-05022] Funding Source: Swedish Research Council
In this study, the problem of smoothed nonparametric spectral estimation via cepstrum thresholding is revisited. The cepstrum thresholding problem is formulated as a multiple hypothesis testing problem, and the false discovery rate (FDR) and familywise error rate (FER) procedures are used to threshold the cepstral coefficients. The FDR and FER approaches are compared with a previously proposed individual hypothesis testing approach, and it is shown that cepstrum thresholding based on FDR and FER can yield spectral estimates with lower mean square error (MSE).
In this letter we revisit the problem of smoothed nonparametric spectral estimation via cepstrum thresholding. We formulate the problem of cepstrum thresholding as a multiple hypothesis testing problem and use the false discovery rate (FDR) and familywise error rate (FER) procedures to threshold the cepstral coefficients. We compare the FDR and FER approaches with a previously proposed individual hypothesis testing approach and show that the cepstrum thresholding based on FDR and FER can yield spectral estimates with lower mean square error (MSE).
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