Spectrum Estimation Using the Multitaper Method
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In this article, we employ the multitaper method to perform spectrum estimation. The multitaper method is a widely-used signal processing technique that decomposes a signal into multiple orthogonal windows (tapers) and conducts spectrum estimation on each window. In this implementation, we directly call MATLAB's pmtm function, which computes the multitaper power spectral density estimate using discrete prolate spheroidal sequences (DPSS) as tapers. The function allows for adjustable parameters such as the time-halfbandwidth product (NW) and the number of tapers (K), enabling control over the bias-variance trade-off. By fine-tuning the window size and quantity, users can optimize spectral resolution and reduce estimation variance for improved accuracy. The pmtm function inherently handles the aggregation of individual taper estimates, providing smoother and more reliable results compared to single-window methods.
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