The L-estimation based signal transforms and time-frequency (TF) representations are introduced by considering the corresponding minimization problems.

The presented theory is extended to the quadratic time-frequency (TF) representations as standard tools for analysis of nonstationary signals [9]–[12]. These ...

The L-estimation based signal transforms and time-frequency representations are introduced by considering the corresponding minimization problems in the ...

The proposed robust distributions are calculated through an iterative procedure. Here we propose the robust short-time Fourier transform (STFT) and the robust ...

Oct 22, 2024 · The L-estimate transforms and time-frequency representations are presented within the framework of compressive sensing.

The L-estimate transforms and time-frequency representations are presented within the framework of compressive sensing. The goal is to recover signal or ...

Abstract– Time-frequency representations of signals obtained by the S-transform can be very sensitive to the presence of α-stable noise.

Abstract-. The L-estimate transforms and time-frequency representations are presented within the framework of compressive sensing.

Robust L-estimation based forms of signal transforms and time-frequency representations · Median filter based realizations of the robust time-frequency ...

Several forms of the ro- bust TFDs are considered: iterative based, median based, and L−estimation based representations. In addition to the overview of these ...