Maximum Likelihood Detection for Detect-and-Forward Relay Channels

Maximum Likelihood Detection for Detect-and-Forward Relay Channels

This paper introduces a simple combining technique for cooperative relay scheme which is based on a Detect-and-Forward (DEF) relay protocol. Cooperative relay schemes have been introduced in earlier works but most of them ignore the quality of the source-relay (S-R) channel in the detection at the destination, although this channel can contribute heavily to the performance of cooperation scheme...

Maximum likelihood detection with arbitrary modulations in cooperative relay channels

This paper proposes a simple combining technique with arbitrary modulations for a cooperative relay scheme based on a Detect-and-Forward (DEF) relay protocol. Here we present Maximum Likelihood (ML) criterion detection at the destination which considers individual symbol error rate (SER) to facilitate the detection in noisy relay networks. In particular, our proposed algorithm is flexible to si...

Blind Maximum Likelihood Sequence Detection Over Fast Fading Communication Channels

Maximum Likelihood Face Detection

In this paper we present a visual learning approach that uses non-parametric probability estimators. We use entropy analysis over the training set in order to select the features that best represent the pattern class of faces, and set up discrete probability models. These models are tested in the context of maximum likelihooddetection of faces. Excellent results are reported in terms of the cor...

Decode-Forward Transmission for the Two-Way Relay Channels

We propose composite decode-forward (DF) schemes for the two-way relay channel in both the fulland half-duplex modes by combining coherent relaying, independent relaying and partial relaying strategies. For the full-duplex mode, the relay partially decodes each user’s information in each block and forwards this partial information coherently with the source user to the destination user in the n...