The discrete prolate spheroidal sequences (DPSSs) are a set of orthonormal sequences in ℓ
2 (Z) which are strictly bandlimited to a frequency band [− W, W] and maximally concentrated …

The multi-taper spectral estimation method is effective in reducing both bias and variance of
the spectrum of stationary stochastic processes. The number of tapers (NoT) in the method …

Classical control noise is ubiquitous in qubit devices, making its accurate spectral
characterization essential for designing optimized error suppression strategies at the …

Additive manufacturing facilitates the production of parts with tailored mechanical properties,
yet achieving specific stress–strain responses remains a significant challenge due to the …

Thomson's multitaper method estimates the power spectrum of a signal from equally spaced
samples by averaging tapered periodograms. Discrete prolate spheroidal sequences …

When convolutional neural networks are used to tackle learning problems based on music
or other time series, raw one-dimensional data are commonly preprocessed to obtain …

We investigate an inverse problem in time-frequency localization: the approximation of the
symbol of a time-frequency localization operator from partial spectral information by the …

Estimating the evolutionary power spectral density (EPSD) of non-stationary winds (eg,
tropical storms and downbursts) is necessary to predict the response of structures under …

This paper proposes a new approach for analyzing seismic accelerograms using the
evolutionary Power Spectral Density function (EPSD). The accelerogram of an earthquake …

In this paper, we propose a new inference procedure for understanding non-stationary
processes, under the framework of evolutionary spectra developed by Priestley. Among …