The rapid growth of data centers along with the development of faster computers, tablets and phones drive a constant demand for networks with higher data rates, that is limited by channel bandwidth. Equalization methods are used to recover the signal attenuated by channel, crosstalk, jitter and other noise. Different optimization algorithms are applied to find the best parameters for each equalization. When optimization algorithms work separately with Feed Forward Equalization (FFE) and Decision Feedback Equalization (DFE), found tap coefficients of FFE and DFE do not give optimal result during joint equalization. In the present paper FFE and DFE joint optimization algorithm is introduced that can be solved analytically. Proposed joint opti...
Abstract: Decision feedback in a decision feedback equaliser (DFE) performs a space translation that...
This paper presents two optimized blind equalization algorithms, developed on a real-time digital si...
The paper addresses the low-complexity design of minimum mean square error (MMSE) multistage decisio...
The signal in channels with high-speed designs is attenuated by channel loss, inter-symbol interfere...
Multi-tap decision-feedback-equalization (DFE) is proposed to counteract inter-symbol interference (...
The paper elaborates an efficient algorithm for optimization of joint Feed-Forward Equalization (FFE...
In this paper we briefly describe the design, implementation, and evaluation of a novel adaptive opt...
Due to the inherent feedback in a decision feedback equalizer (DFE) the minimum mean square error (M...
The paper derives a minimum bit error rate (BER) solution for the decision feedback equaliser (DFE) ...
[[abstract]]The decision feedback equalizer (DFE) is widely used in communication systems combating ...
In this contribution, we present a multiple-input multiple-output (MIMO) equalizer with decision fee...
With the advent of DSL services, high data rates are now available over phone lines, yet higher rate...
We investigate the performance and implementation complexity of different equalization techniques co...
This work shows the performance of different decision feedback equalizers (DFEs) for high-speed data...
Decision Feedback Equalization (DFE) is a form of non-linear symbol-by-symbol equalization in which...
Abstract: Decision feedback in a decision feedback equaliser (DFE) performs a space translation that...
This paper presents two optimized blind equalization algorithms, developed on a real-time digital si...
The paper addresses the low-complexity design of minimum mean square error (MMSE) multistage decisio...
The signal in channels with high-speed designs is attenuated by channel loss, inter-symbol interfere...
Multi-tap decision-feedback-equalization (DFE) is proposed to counteract inter-symbol interference (...
The paper elaborates an efficient algorithm for optimization of joint Feed-Forward Equalization (FFE...
In this paper we briefly describe the design, implementation, and evaluation of a novel adaptive opt...
Due to the inherent feedback in a decision feedback equalizer (DFE) the minimum mean square error (M...
The paper derives a minimum bit error rate (BER) solution for the decision feedback equaliser (DFE) ...
[[abstract]]The decision feedback equalizer (DFE) is widely used in communication systems combating ...
In this contribution, we present a multiple-input multiple-output (MIMO) equalizer with decision fee...
With the advent of DSL services, high data rates are now available over phone lines, yet higher rate...
We investigate the performance and implementation complexity of different equalization techniques co...
This work shows the performance of different decision feedback equalizers (DFEs) for high-speed data...
Decision Feedback Equalization (DFE) is a form of non-linear symbol-by-symbol equalization in which...
Abstract: Decision feedback in a decision feedback equaliser (DFE) performs a space translation that...
This paper presents two optimized blind equalization algorithms, developed on a real-time digital si...
The paper addresses the low-complexity design of minimum mean square error (MMSE) multistage decisio...