The paper extends a class of optimum Bussgang equalizers (based on Bayesian concepts) to any non-separable bidimensional modulation format, such as general PSK. The inherent flexibility of the considered operator with respect to known methods (such as constant modulus) allows its behavior to be optimised with regard to ambiguity and accuracy problems. The use of this operator in two stages (coarse plus fine scheme) allows easy convergence control for severely distorted channel
The problem of blind equalization of GMSK modulated signals is here addressed. In particular, resort...
[[abstract]]A blind equalisation technique based on an improved constant modulus adaptive (CMA) algo...
Abstract—The Bayesian solution is known to be optimal for symbol-by-symbol equalizers; however, its ...
This paper addresses the problem of blind equalization in the case of correlated input symbols, and ...
This paper addresses the problem of blind equalization in the case of correlated input symbols, and ...
The statistical efficiency of a batch-processing constantmodulus blind equalizer for estimating a) t...
Blind source separation (BSS) and blind equalization (BE) are two important blind signal processing ...
Blind source separation (BSS) techniques allow recovery of individual unobserved signals from their ...
Abstract—In this paper, the modification of conditional Fuzzy C-Means (CFCM) aimed at estimation of ...
A new constant modulus algorithm and two of its variants are presented for blind equalisation of com...
Blind Equalization (BE) refers to the problem of recovering the source symbol sequence from a signal...
A blind adaptive algorithm for channel equalisation is proposed based on a joint channel estimation ...
International audienceIn this paper, new decision directed algorithms for blind equalization of comm...
The paper investigates blind finite-impulse-response (FIR) equalization schemes for quadrature ampli...
Blind Equalization (BE) refers to the problem of recovering the source symbol sequence from a signal...
The problem of blind equalization of GMSK modulated signals is here addressed. In particular, resort...
[[abstract]]A blind equalisation technique based on an improved constant modulus adaptive (CMA) algo...
Abstract—The Bayesian solution is known to be optimal for symbol-by-symbol equalizers; however, its ...
This paper addresses the problem of blind equalization in the case of correlated input symbols, and ...
This paper addresses the problem of blind equalization in the case of correlated input symbols, and ...
The statistical efficiency of a batch-processing constantmodulus blind equalizer for estimating a) t...
Blind source separation (BSS) and blind equalization (BE) are two important blind signal processing ...
Blind source separation (BSS) techniques allow recovery of individual unobserved signals from their ...
Abstract—In this paper, the modification of conditional Fuzzy C-Means (CFCM) aimed at estimation of ...
A new constant modulus algorithm and two of its variants are presented for blind equalisation of com...
Blind Equalization (BE) refers to the problem of recovering the source symbol sequence from a signal...
A blind adaptive algorithm for channel equalisation is proposed based on a joint channel estimation ...
International audienceIn this paper, new decision directed algorithms for blind equalization of comm...
The paper investigates blind finite-impulse-response (FIR) equalization schemes for quadrature ampli...
Blind Equalization (BE) refers to the problem of recovering the source symbol sequence from a signal...
The problem of blind equalization of GMSK modulated signals is here addressed. In particular, resort...
[[abstract]]A blind equalisation technique based on an improved constant modulus adaptive (CMA) algo...
Abstract—The Bayesian solution is known to be optimal for symbol-by-symbol equalizers; however, its ...