Advances in Time Frequency and Array Processing of Nonstationary Signals

Time frequency and array processing of non-stationary signals

Authors: Adel Belouchrani, Karim Abed-Meraim and Boualem Boashash

Contribution of statistical tests to sparseness-based blind source separation

We address the problem of blind source separation in the underdetermined mixture case. Two statistical tests are proposed to reduce the number of empirical parameters involved in standard sparseness-based unde...

Authors: Si Mohamed Aziz-Sbaï, Abdeldjalil Aïssa-El-Bey and Dominique Pastor

Time-varying bispectral analysis of visually evoked multi-channel EEG

Theoretical foundations of higher order spectral analysis are revisited to examine the use of time-varying bicoherence on non-stationary signals using a classical short-time Fourier approach. A methodology is ...

Authors: Vinod Chandran

Dempster–Shafer fusion of multisensor signals in nonstationary Markovian context

The latest developments in Markov models’ theory and their corresponding computational techniques have opened new rooms for image and signal modeling. In particular, the use of Dempster–Shafer theory of eviden...

Authors: Mohamed El Yazid Boudaren, Emmanuel Monfrini, Wojciech Pieczynski and Amar Aïssani

Filtering in the joint time/chirp-rate domain for separation of quadratic and cubic phase chirp signals

This article investigates the possibility and convenience of a filtering operation in the joint time/chirp-rate (TCR) domain, and proposes a novel linear TCR filter for decomposing multicomponent signals into ...

Authors: Mehmet Tankut Özgen

A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals

This article presents a general methodology for processing non-stationary signals for the purpose of classification and localization. The methodology combines methods adapted from three complementary areas: ti...

Authors: Boualem Boashash, Larbi Boubchir and Ghasem Azemi

Independent vector analysis based on overlapped cliques of variable width for frequency-domain blind signal separation

A novel method is proposed to improve the performance of independent vector analysis (IVA) for blind signal separation of acoustic mixtures. IVA is a frequency-domain approach that successfully resolves the we...

Authors: Intae Lee and Gil-Jin Jang

Joint DOD/DOA estimation in MIMO radar exploiting time-frequency signal representations

In this article, we consider the joint estimation of direction-of-departure (DOD) and direction-of-arrival (DOA) information of maneuvering targets in a bistatic multiple-input multiple-output (MIMO) radar sys...

Authors: Yimin D. Zhang, Moeness G. Amin and Braham Himed

Compressive sampling of swallowing accelerometry signals using time-frequency dictionaries based on modulated discrete prolate spheroidal sequences

Monitoring physiological functions such as swallowing often generates large volumes of samples to be stored and processed, which can introduce computational constraints especially if remote monitoring is desir...

Authors: Ervin Sejdić, Azime Can, Luis F Chaparro, Catriona M. Steele and Tom Chau

Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy

The time-frequency Rényi entropy provides a measure of complexity of a nonstationary multicomponent signal in the time-frequency plane. When the complexity of a signal corresponds to the number of its componen...

Authors: Victor Sucic, Nicoletta Saulig and Boualem Boashash