Sentence examples for equalization decision from inspiring English sources

In this paper, we investigate various detection techniques such as linear zero forcing (ZF) equalization, minimum mean square error (MMSE) equalization, decision feedback equalization (DFE), and turbo joint channel estimation and detection, for Q-OFDMA systems to mitigate the noise enhancement effect and improve the bit error ratio (BER) performance.

This paper presented novel SC-FDE systems using widely linear MMSE-based equalization, decision-feedback equalization, and Tomlinson-Harashima precoding.

In this section we extend the results for linear equalization to decision feedback equalization.

c Nevertheless, a higher performance can be achieved by the use of minimum mean squared equalizer (MMSE), decision feedback equalizer, or maximum likelihood (ML) decoding instead of linear zero-forcing equalization.

Figure 2 A SC-FDE system employing widely linear MMSE equalization and a decision-feedback equalizer.

A model-based approach for the decision feedback equalization of Volterra type nonlinear communication channels is proposed such that the linear model-based decision feedback equalization can be considered as a special case of the proposed approach.

Decision feedback equalization.

This includes frequency domain linear equalization (FD-LE) [4], decision feedback equalization (DFE) [5, 6], and the more recent turbo equalization (TE) [7, 8].

Some decision feedback equalization techniques are also compatible with OFDM systems [11 16].

Furthermore, frequency domain decision feedback equalization (FD-DFE) was proposed for SC-FDMA in both [7] and [8].

Fig. 6 Memory removal via decision feedback equalization: a symbol error probability of MFT-ESA approach for binary CPFSK with zero-forcing and MMSE decision feedback equalization to remove memory induced due to partial response signaling and b symbol error probability for multilevel CPFSK with zero-forcing and MMSE decision feedback equalization.