Add to ORKGA new algorithm is presented for the blind equalization of complex signals. This algorithm can be considered as a variant of the well-known reduced constellation algorithm (RCA). The proposed algorithm is obtained by removing the discontinuity found in the RCA cost function. The steady-state performance of the proposed algorithm is demonstrated by simulations. In addition, closed form expressions are obtained for the dispersion constants and the minimum of the cost functions. The phase-recovery and intersymbol interference optimization properties, exhibited by the proposed algorithm, are also discussed
AbstractMultimodulus algorithms (MMA) based adaptive blind equalizers mitigate inter-symbol interfer...
This article has been made available through the Brunel Open Access Publishing Fund.Multimodulus alg...
AbstractMultimodulus algorithms (MMA) based adaptive blind equalizers mitigate inter-symbol interfer...
A new algorithm is presented for the blind equalization of complex signals. This algorithm can be co...
In this work, a new algorithm, based on the minimum-disturbance principle with relaxation, is presen...
In bandwidth-efficient digital transmission, the training of a receiver requires a start-up procedur...
Blind source separation (BSS) and blind equalization (BE) are two important blind signal processing ...
[[abstract]]A blind equalisation technique based on an improved constant modulus adaptive (CMA) algo...
Blind equalization techniques have been developed over the past three decades that estimate and equa...
Blind source separation (BSS) techniques allow recovery of individual unobserved signals from their ...
In this paper a new cost function for blind equalization is proposed. The proposed cost function, re...
[[abstract]]A blind equalisation technique based on an improved constant modulus adaptive (CMA) algo...
This work introduces an adaptive equalizer, namely the multi-constant modulus algorithm (MCMA), for...
It is well known that constant-modulus-based algorithms present a large mean-square error for high-o...
In the past decade, equalizers were employed to cancel the intersymbol interference introduced by th...
AbstractMultimodulus algorithms (MMA) based adaptive blind equalizers mitigate inter-symbol interfer...
This article has been made available through the Brunel Open Access Publishing Fund.Multimodulus alg...
AbstractMultimodulus algorithms (MMA) based adaptive blind equalizers mitigate inter-symbol interfer...
A new algorithm is presented for the blind equalization of complex signals. This algorithm can be co...
In this work, a new algorithm, based on the minimum-disturbance principle with relaxation, is presen...
In bandwidth-efficient digital transmission, the training of a receiver requires a start-up procedur...
Blind source separation (BSS) and blind equalization (BE) are two important blind signal processing ...
[[abstract]]A blind equalisation technique based on an improved constant modulus adaptive (CMA) algo...
Blind equalization techniques have been developed over the past three decades that estimate and equa...
Blind source separation (BSS) techniques allow recovery of individual unobserved signals from their ...
In this paper a new cost function for blind equalization is proposed. The proposed cost function, re...
[[abstract]]A blind equalisation technique based on an improved constant modulus adaptive (CMA) algo...
This work introduces an adaptive equalizer, namely the multi-constant modulus algorithm (MCMA), for...
It is well known that constant-modulus-based algorithms present a large mean-square error for high-o...
In the past decade, equalizers were employed to cancel the intersymbol interference introduced by th...
AbstractMultimodulus algorithms (MMA) based adaptive blind equalizers mitigate inter-symbol interfer...
This article has been made available through the Brunel Open Access Publishing Fund.Multimodulus alg...
AbstractMultimodulus algorithms (MMA) based adaptive blind equalizers mitigate inter-symbol interfer...
