EURASIP Journal on Applied Signal Processing
Time-frequency feature extraction of newborn EEG seizure using SVD-based techniques
EURASIP Journal on Applied Signal Processing
A time--frequency approach for noise reduction
Digital Signal Processing
Time--frequency feature representation using energy concentration: An overview of recent advances
Digital Signal Processing
Techniques to obtain good resolution and concentrated time-frequency distributions: a review
EURASIP Journal on Advances in Signal Processing
Signals time-frequency analysis method with specific frequency polar images
IMCAS'10 Proceedings of the 9th WSEAS international conference on Instrumentation, measurement, circuits and systems
A novel well conditions analysis method through SFPI algorithm
WSEAS Transactions on Systems and Control
Application of time-frequency analysis to finite duration communication signals
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
A signal-dependent quadratic time frequency distribution for neural source estimation
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Blind source separation based on high-resolution time-frequency distributions
Computers and Electrical Engineering
Time domain signal enhancement based on an optimized singular vector denoising algorithm
Digital Signal Processing
Hi-index | 35.68 |
The paper introduces a new kernel for the design of a high resolution time-frequency distribution (TFD). We show that this distribution can solve problems that the Wigner-Ville distribution (WVD) or the spectrogram cannot. In particular, the proposed distribution can resolve two close signals in the time-frequency domain that the two other distributions cannot. Moreover, we show that the proposed distribution is more accurate than the WVD and the spectrogram in the estimation of the instantaneous frequency of a stepped FM signal embedded in additive Gaussian noise. Synthetic and real data collected from real-world applications are shown to validate the proposed distribution