AbstractAiming at the problem of blind source separation of satellite-based AIS (Automatic Identification System) processing, an algorithm based on counteraction theory of antenna space was proposed to separate the mixing signals. Firstly we make use of the difference of attenuate and delay of the signal arriving at the antennas, and then add the signal to other channel signal for counteraction after phase shift, which takes the least modulus norm as the assessment rule. We search the phase angle from the whole filed. The algorithm can recover the signal wave directly, the efficiency of the algorithm is proved in theory and computer simulations
to appear in EURASIP E-reference in Signal Processing, invited paper.International audienceBlind sou...
A blind separation algorithm based on synchronous squeezing wavelet transform is proposed to solve t...
In this paper we present a method for blind deconvolution of linear channels based on source separa...
In this paper, the problem of the blind separation of complex-valued Satellite-AIS data for marine s...
Abstract: Considering the existence of large Doppler frequency shift, fast time-varying channels and...
Blind source separation (BSS) and blind equalization (BE) are two important blind signal processing ...
We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input mult...
This paper presents a demodulation algorithm for automatic identification system (AIS) signals recei...
Blind source separation (BSS) techniques allow recovery of individual unobserved signals from their ...
Blind Source Separation is a modern signal processing technique which recovers boththe unknown sourc...
Blind Source Separation (BSS) algorithms have been applied with considerable success in a variety of...
This thesis addresses the problem of blind signal separation (BSS) using independent component analy...
Les systèmes de télécommunications satellitaires récents font appel à des technologies avancées, en ...
In recent years, the problem of underdetermined blind source separation (UBSS) has become a research...
With the development of Aerospace Science and technology, automatic dependent surveillance-broadcast...
to appear in EURASIP E-reference in Signal Processing, invited paper.International audienceBlind sou...
A blind separation algorithm based on synchronous squeezing wavelet transform is proposed to solve t...
In this paper we present a method for blind deconvolution of linear channels based on source separa...
In this paper, the problem of the blind separation of complex-valued Satellite-AIS data for marine s...
Abstract: Considering the existence of large Doppler frequency shift, fast time-varying channels and...
Blind source separation (BSS) and blind equalization (BE) are two important blind signal processing ...
We address the problem of adaptive blind source separation (BSS) from instantaneous multi-input mult...
This paper presents a demodulation algorithm for automatic identification system (AIS) signals recei...
Blind source separation (BSS) techniques allow recovery of individual unobserved signals from their ...
Blind Source Separation is a modern signal processing technique which recovers boththe unknown sourc...
Blind Source Separation (BSS) algorithms have been applied with considerable success in a variety of...
This thesis addresses the problem of blind signal separation (BSS) using independent component analy...
Les systèmes de télécommunications satellitaires récents font appel à des technologies avancées, en ...
In recent years, the problem of underdetermined blind source separation (UBSS) has become a research...
With the development of Aerospace Science and technology, automatic dependent surveillance-broadcast...
to appear in EURASIP E-reference in Signal Processing, invited paper.International audienceBlind sou...
A blind separation algorithm based on synchronous squeezing wavelet transform is proposed to solve t...
In this paper we present a method for blind deconvolution of linear channels based on source separa...