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Now showing items 11-15 of 15
Channel Estimation for Residual Self-Interference in Full-Duplex Amplify-and-Forward Two-Way Relays
(IEEE-INST Electrical Electronics Engineers Inc, 2017)
Training schemes for full duplex two-way relays are investigated. We propose a novel one-block training scheme with a maximum likelihood estimator to estimate the channels between the nodes as well as the residual ...
Bayesian estimation of discrete-time cellular neural network coefficients
(TUBITAK Scientific & Technical Research Council Turkey, 2017)
A new method for finding the network coefficients of a discrete-time cellular neural network (DTCNN) is proposed. This new method uses a probabilistic approach that itself uses Bayesian learning to estimate the network ...
Sparse underwater acoustic channel estimation in colored Gaussian noise [Renkli? Gauss gürültülü seyrek sualtı akusti?k kanalların kestirimi]
(IEEE, 2012)
Cooperative underwater acoustic communication systems come into prominence in recent years. Since underwater channels are sparse and additive noise entering the system is colored Gaussian noise. Therefore it is very difficult ...
Semiblind joint channel estimation and equalization for OFDM systems in rapidly varying channels
(2010)
We describe a new joint iterative channel estimation and equalization algorithm for joint channel estimation and data detection for orthogonal frequency division multiplexing (OFDM) systems in the presence of frequency ...
Optimal Power Allocation Between Training and Data for MIMO Two-Way Relay Channels
(IEEE-INST Electrical Electronics Engineers Inc, 2015)
Power allocation between training and data in MIMO two-way relay systems is proposed which takes into consideration both the symmetric and asymmetric cases of the two sources. For the former we present a closed form for ...