Add to ORKGAbstract. In th is work we present a new paradigm for unsuper-vised nonlinear equalization based on prediction-error fuzzy filters. Tests in different linear channel scenarios are carried out i n order to assess the performance of t h e equalizer. T h e results show that the proposal is solid and may provide a performance close to that of a Bayesian equalizer
Abstract: Problem statement: Digital transmission over band-limited communication channel largely su...
The paper considers the problem of constructing adaptive minimum bit error rate (MBER) neural networ...
Abstract—A normalized Bayesian solution is derived for digital communication channel equalization wh...
When digital signals are transmitted through frequency selective communication channels, one of the ...
Adaptive equalization of channels with non-linear intersymbol interference is considered. It is show...
One of the main obstacles to reliable communications is the inter symbol interference (ISI). An equa...
International audienceIn this paper, we study blind equalization techniques to reduce the intersymbo...
Abstract This paper applies neural networks to the adaptive channel equalization of a bipolar signal...
The design of adaptive equalizers is an important topic for practical implementation of ecient digit...
In this paper a new approach to the equalization of digital transmission channels is introduced and ...
In wireless communications, transmitted signals suffer from distortion caused by the channel. Equali...
In this paper a new approach to the equalization of digital transmission channels is introduced and ...
Decision feedback equalizers (DFE)s are used extensively in practical communication systems. They ar...
In digital communication systems, multipath propagation induces Inter Symbol Interference (ISI). To ...
Equalisation is necessary in a digital communication system to mitigate the effect of inter-symbol i...
Abstract: Problem statement: Digital transmission over band-limited communication channel largely su...
The paper considers the problem of constructing adaptive minimum bit error rate (MBER) neural networ...
Abstract—A normalized Bayesian solution is derived for digital communication channel equalization wh...
When digital signals are transmitted through frequency selective communication channels, one of the ...
Adaptive equalization of channels with non-linear intersymbol interference is considered. It is show...
One of the main obstacles to reliable communications is the inter symbol interference (ISI). An equa...
International audienceIn this paper, we study blind equalization techniques to reduce the intersymbo...
Abstract This paper applies neural networks to the adaptive channel equalization of a bipolar signal...
The design of adaptive equalizers is an important topic for practical implementation of ecient digit...
In this paper a new approach to the equalization of digital transmission channels is introduced and ...
In wireless communications, transmitted signals suffer from distortion caused by the channel. Equali...
In this paper a new approach to the equalization of digital transmission channels is introduced and ...
Decision feedback equalizers (DFE)s are used extensively in practical communication systems. They ar...
In digital communication systems, multipath propagation induces Inter Symbol Interference (ISI). To ...
Equalisation is necessary in a digital communication system to mitigate the effect of inter-symbol i...
Abstract: Problem statement: Digital transmission over band-limited communication channel largely su...
The paper considers the problem of constructing adaptive minimum bit error rate (MBER) neural networ...
Abstract—A normalized Bayesian solution is derived for digital communication channel equalization wh...