In this paper, we propose a novel time-frequency distribution (TFD) for the analysis of multi-component signals. In particular, we use synthetic as well as real-life speech signals to prove the superiority of the proposed TFD in comparison to some existing ones. In the comparison, we consider the cross-terms suppression and the high energy concentration of the signal around its instantaneous fr...

A virtual instrument for highly concentrated time-frequency distributions is proposed in this paper. It provides efficient solutions for the analysis of signals with highly non-stationary instantaneous frequency. The timefrequency distributions of different orders are considered. Thus, due to the variations of signal phase function, the order of the distribution can be increased until a satisfa...

In this work, we present a discrete fractional Gabor representation on a general, non-rectangular timefrequency lattice. The traditional Gabor expansion represents a signal in terms of time and frequency shifted basis functions, called Gabor logons. This constant-bandwidth analysis uses a fixed, and rectangular time-frequency plane tiling. Many of the practical signals require a more flexible, ...

The paper deals with analysis and time-frequency representation of multicomponent signals characterised by non-linear frequency variation in time. A certain type of higher-order time-frequency distribution, referred to as Polynomial Wigner-Ville distribution [2], has been designed to achieve delta function concentration in the timefrequency plane for this class of signals. In the presence of mu...

Wigner-Ville Distribution (WVD) possesses high time-frequency concentration and resolutions, but brings serious cross-terms in process of a multi-component signal to distort greatly the result of timefrequency analysis. Because of this the use of the WVD is limited for many applications. In this paper a combined method is proposed: Empirical Mode Decomposition (EMD) is first used to decompose t...

This paper presents the time domain and timefrequency domain analysis results of incipient events in single-phase distribution transformers. This analysis will aid in the development of an automatic detection method for internal incipient faults in the transformers. The detection method can provide information to predict failures ahead of time so that the necessary corrective actions are taken ...

Hilbert Huang Transform (HHT) is an empirical timefrequency analysis method firstly proposed by N. E. Huang in 1998. This method is suitable for nonlinear and non-stationary signal processing and thus employed for bioelectrical signal processing and analysis in recent years. However, the large computation cost of HHT restricts its applications for real-time signal processing. This paper present...

The basis functions of the continuous fractional Fourier transform (FRFT) are linear chirp signals that are suitable for time-frequency analysis of signals with chirping timefrequency content. Efforts to develop a discrete computable version of the fractional Fourier transform (DFRFT) have focussed on furnishing a orthogonal set of eigenvectors for the DFT that serve as discrete versions of the...

This paper applies a new auditory filterbank to wide band speech and audio coding. The coding algorithm is capable of producing high quality coded speech and audio, which account for temporal as well as spectral details. The analysis and synthesis are performed using a critical-bandrate auditory filterbank with superior auditory masking properties. The outputs of the analysis filters are proces...

It is hypothesized that the perception of an alternative image in ambiguous figures would be manifested as an increase in synchronization of EEG signals over multiple scalp sites as “cognitive binding” occurs. A statistical timefrequency analysis (STFA) approach is taken to detect cognitive binding. The STFA approach consists of an analysis filter bank that extracts useful components from the i...