multitapertekniikka
Multitaper technique, also known as multitaper spectral analysis, is a signal processing method used to estimate the power spectrum of a time series. It is particularly useful for analyzing non-stationary and non-linear signals, where traditional Fourier-based methods may not provide accurate results. The technique was developed by David J. Thomson in the 1980s and has since been widely adopted in various fields, including geophysics, neuroscience, and finance.
The multitaper method involves the use of multiple orthogonal tapers (window functions) to smooth the time
1. Apply a set of orthogonal tapers to the time series data to create multiple tapered versions
2. Compute the Fourier transform of each tapered version to obtain a set of complex-valued spectra.
3. Estimate the power spectrum by averaging the squared magnitudes of the complex-valued spectra across the
The multitaper technique offers several advantages over traditional Fourier-based methods. It provides a more accurate estimate
However, the multitaper technique also has some limitations. It requires the selection of an appropriate set
In summary, multitaper technique is a powerful signal processing method for estimating the power spectrum of