We propose to combine cepstrum and nonlinear time–frequency (TF) analysis to study
multiple component oscillatory signals with time-varying frequency and amplitude and with …

We prove that functions of intrinsic-mode type (a classical models for signals) behave
essentially like holomorphic functions: adding a pure carrier frequency e^int ensures that the …

We propose a time-varying optimal window width (TVOWW) and an adaptive optimal
window width selection schemes to optimize the performance of several nonlinear-type time …

Motivated by the limitation of analyzing oscillatory signals composed of multiple components
with fast-varying instantaneous frequency, we approach the time-frequency analysis …

We apply the recently developed adaptive non-harmonic model based on the wave-shape
function, as well as the time-frequency analysis tool called synchrosqueezing transform …

We consider the problem of the maximum concentration in a fixed measurable subset Ω⊂ R
2 d of the time-frequency space for functions f∈ L 2 (R d). The notion of concentration can …

Tone Transfer is a novel deep-learning technique for interfacing a sound source with a
synthesizer, transforming the timbre of audio excerpts while kee** their musical form …

State-of-the-art data analysis tools have to deal with high-dimensional data. Fortunately, the
inherent dimensionality of data is often much smaller, as it has an internal structure limiting …

The recently proposed empirical wavelet transform was based on a particular type of filter. In
this paper, we aim to propose a general framework for the construction of empirical wavelet …

In this paper, we consider the case in which one needs to carry out Gabor analysis and
synthesis on large signals using a short support analysis window and its corresponding …