In this paper, a new method for estimating the parameters of a digital communication channel, from only its output measurements, is presented. The method makes use of genetic algorithms (GA) to minimize a cost function defined in terms of system's output cumulants.IEE
This thesis addresses the blind deconvolution problem in which the input sig-nals to a multi-input m...
The preservation of relevant mutual information under compression is the fundamental challenge of th...
International audienceThis paper describes a blind algorithm for estimating a time varying and frequ...
Abstract—An important family of blind equalization algorithms identify a communication channel model...
A family of blind equalisation algorithms identifies a channel model based on a higher-order cumulan...
Among encountered problems in digital and analog communications, there is mismatch between canals an...
In the context of spectrum surveillance, a method to recover the code of spread spectrum signal is p...
In this paper, a new method for estimating the parameters of a nonminimum phase, linear, time-invari...
Proposed method combines numerical differentiation and genetic algorithm. Fast computation of accura...
This paper describes an application of the Learnable Evolution Model (LEM) to a digital signal filte...
This work aims at proposing the use of the evolutionary computation methodology in order to jointly ...
A joint blind order-detection and parameter-estimation algorithm for a single-input multiple-output...
This paper proposes to utilise Evolutionary Algorithm (EA) to jointly estimate the Time of Arrival, ...
This paper introduces a new method to estimating the parameters of a noncausal AR model. This method...
This article simplifies the complexity of an adaptive antenna by employing the genetic algorithm. Th...
This thesis addresses the blind deconvolution problem in which the input sig-nals to a multi-input m...
The preservation of relevant mutual information under compression is the fundamental challenge of th...
International audienceThis paper describes a blind algorithm for estimating a time varying and frequ...
Abstract—An important family of blind equalization algorithms identify a communication channel model...
A family of blind equalisation algorithms identifies a channel model based on a higher-order cumulan...
Among encountered problems in digital and analog communications, there is mismatch between canals an...
In the context of spectrum surveillance, a method to recover the code of spread spectrum signal is p...
In this paper, a new method for estimating the parameters of a nonminimum phase, linear, time-invari...
Proposed method combines numerical differentiation and genetic algorithm. Fast computation of accura...
This paper describes an application of the Learnable Evolution Model (LEM) to a digital signal filte...
This work aims at proposing the use of the evolutionary computation methodology in order to jointly ...
A joint blind order-detection and parameter-estimation algorithm for a single-input multiple-output...
This paper proposes to utilise Evolutionary Algorithm (EA) to jointly estimate the Time of Arrival, ...
This paper introduces a new method to estimating the parameters of a noncausal AR model. This method...
This article simplifies the complexity of an adaptive antenna by employing the genetic algorithm. Th...
This thesis addresses the blind deconvolution problem in which the input sig-nals to a multi-input m...
The preservation of relevant mutual information under compression is the fundamental challenge of th...
International audienceThis paper describes a blind algorithm for estimating a time varying and frequ...
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