The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an equalizer adapted with CMA has the potential to converge to a local minimum that has large noise amplification. A technique is, therefore, proposed based upon a solution of linear and quadratic equations to re-initialise the equalizer parameters. Linear equations are obtained from the fact that the retrieved transmitted signal with various delays which correspond to different minima are uncorrelated. The quadratic equations are obtained from the knowledge of the transmitted signal power. Simulations are included to demonstrate the robustness of this new schem
Abstract: In this paper, the adaptive equalization techniques are used to transmit data through a co...
This work introduces an adaptive equalizer, namely the multi-constant modulus algorithm (MCMA), for...
[[abstract]]A blind equalisation technique based on an improved constant modulus adaptive (CMA) algo...
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...
We propose a new family of mixed constant modulus algorithms for the elimination of local minima ass...
The performance of the constant modulus algorithm can suffer because of the existence of local minim...
Finite length CMA equalizers contain undesired minima termed Length Dependent Local Minima (LDLM). W...
The adaptive algorithm has been widely used in the digital signal processing like channel estimation...
AbstractThe main disadvantage of constant modulus algorithm (CMA) equalizer is that the output error...
The adaptive algorithm has been widely used in the digital signal processing like channel estimation...
We examine the behavior of the leaky constant modulus algorithm (L-CMA), which is a special case of ...
We examine the behavior of the leaky constant modulus algorithm (L-CMA), which is a special case of ...
Abstract: In this paper, the adaptive equalization techniques are used to transmit data through a co...
This work introduces an adaptive equalizer, namely the multi-constant modulus algorithm (MCMA), for...
[[abstract]]A blind equalisation technique based on an improved constant modulus adaptive (CMA) algo...
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...
We propose a new family of mixed constant modulus algorithms for the elimination of local minima ass...
The performance of the constant modulus algorithm can suffer because of the existence of local minim...
Finite length CMA equalizers contain undesired minima termed Length Dependent Local Minima (LDLM). W...
The adaptive algorithm has been widely used in the digital signal processing like channel estimation...
AbstractThe main disadvantage of constant modulus algorithm (CMA) equalizer is that the output error...
The adaptive algorithm has been widely used in the digital signal processing like channel estimation...
We examine the behavior of the leaky constant modulus algorithm (L-CMA), which is a special case of ...
We examine the behavior of the leaky constant modulus algorithm (L-CMA), which is a special case of ...
Abstract: In this paper, the adaptive equalization techniques are used to transmit data through a co...
This work introduces an adaptive equalizer, namely the multi-constant modulus algorithm (MCMA), for...
[[abstract]]A blind equalisation technique based on an improved constant modulus adaptive (CMA) algo...