As an alternative to existing techniques and algorithms, we investigate the merit of the H∞ approach to the linear equalization of communication channels. We first give the formulation of all causal H∞ equalizers using the results of and then look at the finite delay case. We compare the risk-sensitive H∞ equalizer with the MMSE equalizer with respect to both the average and the worst-case BER performances and illustrate the improvement due to the use of the H∞ equalizer
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...
Cataloged from PDF version of article.Formulations of the turbo equalization approach to iterative ...
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...
As an alternative to existing techniques and algorithms, we investigate the merit of the H-infinity ...
As an alternative to existing techniques and algorithms, we investigate the merit of the H-infinity ...
We study the problem of linear equalization from an H^∞ point of view and parameterize, in closed f...
In this paper, we study the problem of linearly equalizing the multiple-input multiple-output (MIMO)...
In this paper we study the problem of equalizing a communications channel from an H 1 point of vie...
We approach FIR equalization problem from an H∞ perspective. First, we formulate the calculation of...
We approach FIR equalization problem from an H∞ perspective. First, we formulate the calculation of...
We approach finite impulse response (FIR) equalization problem from an H∞ perspective. First, we for...
We approach finite impulse response (FIR) equalization problem from an H∞ perspective. First, we for...
AbstractIn this paper, equalization algorithms applying soft–decision feedback, designed for quatern...
In this paper, research on exploring the potential of several popular equalization techniques while ...
In this paper we obtain a new formula for the minimum achievable disturbance attenuation in two-bloc...
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...
Cataloged from PDF version of article.Formulations of the turbo equalization approach to iterative ...
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...
As an alternative to existing techniques and algorithms, we investigate the merit of the H-infinity ...
As an alternative to existing techniques and algorithms, we investigate the merit of the H-infinity ...
We study the problem of linear equalization from an H^∞ point of view and parameterize, in closed f...
In this paper, we study the problem of linearly equalizing the multiple-input multiple-output (MIMO)...
In this paper we study the problem of equalizing a communications channel from an H 1 point of vie...
We approach FIR equalization problem from an H∞ perspective. First, we formulate the calculation of...
We approach FIR equalization problem from an H∞ perspective. First, we formulate the calculation of...
We approach finite impulse response (FIR) equalization problem from an H∞ perspective. First, we for...
We approach finite impulse response (FIR) equalization problem from an H∞ perspective. First, we for...
AbstractIn this paper, equalization algorithms applying soft–decision feedback, designed for quatern...
In this paper, research on exploring the potential of several popular equalization techniques while ...
In this paper we obtain a new formula for the minimum achievable disturbance attenuation in two-bloc...
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...
Cataloged from PDF version of article.Formulations of the turbo equalization approach to iterative ...
The error surface associated with the constant modulus algorithm (CMA) is multimodel. Therefore, an ...