This letter presents a high resolution method which separates close components of a multi-
component linear frequency modulated (LFM) signal and eliminates their Cross-Terms …

The classical time-frequency analysis method is not the optimal signal representation
method for LFM signal, fractional Fourier transform (FRFT) can represent signal from any …

We present a new method for time-frequency representation (TFR), which combines the
Fourier-Bessel (FB) transform and the Wigner-Ville distribution (WVD). The FB transform …

This paper addresses the problem of estimating the chirp rates of multi-component linear
frequency modulated signals, which is important in radar, sonar and navigation signal …

In this letter, we consider the sparsity-based time-frequency representation (TFR) of
frequency-modulated (FM) signals in the presence of burst missing samples. In the …

In this paper, a new concise algorithm about time-frequency representation (TFR) based on
an adaptive short-time Fourier transform (ASTFT) is presented. In this algorithm, the analysis …

This paper presents an open-source virtual instrument for time-frequency analysis. The
purpose is to show the correct practical implementation, and the performance, of a number …

This paper addresses the identification of the Dual Tone Multiple Frequency (DTMF) signal
from real environments where the signal was corrupted during acquisition and transmission …

This paper presents a locally adaptive time‐frequency (t, f) method for estimating the
instantaneous frequency (IF) of multi‐component signals. A high‐resolution adaptive …

An adaptive time-frequency representation (TFR) with higher energy concentration usually
requires higher complexity. Recently, a low-complexity adaptive short-time Fourier transform …