Interest in parameterized time-frequency analysis for non-stationary signal processing is
increasing steadily. An important advantage of such analysis is to provide highly …

The authors introduce an iterative algorithm, called matching demodulation transform (MDT),
to generate a time-frequency (TF) representation with satisfactory energy concentration. As …

This paper presents efficient algorithms for the analysis of nonstationary multicomponent
signals based on modified local polynomial time-frequency transform. The signals to be …

Classic postprocessing time–frequency analysis (TFA) methods calculated by the short-time
Fourier transform (STFT) suffer from the problems of blurry cross points and unsatisfied time …

Parametrized time-frequency analysis (PTFA) can effectively improve time-frequency energy
aggregation of non-stationary signal and immunity of cross term interference, but it exists the …

This letter presents a fast and accurate method for parameter estimation of multi-component
linear frequency modulated (MC-LFM) signals. We first show that the auto-terms of signal in …

An algorithm for multi-component instantaneous frequency (IF) estimation of signals with
intersecting signatures in the time-frequency domain is proposed. The proposed algorithm …

Time-frequency analysis (TFA) is an effective tool to identify the signal frequency
components and to reveal their time variant features. In this paper, a new instantaneous …

To analyze the valuable frequency component for time-varying frequency-modulated (FM)
signals, component extraction is necessary in most applications. Considering the advantage …

A new method for nonparametric and adaptive instantaneous frequency (IF) estimation of
monocomponent signals based on time-frequency distributions (TFDs) is presented. This …