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Estimation of Multi Input Multi Output (MIMO) channels can be performed by Artificial Neural Network (ANN)s such as Multi Layer Perceptron (MLP)s. However, the cost of training overload in case of time varying MIMO channels is the main bottleneck of such ANN architectures for which a viable alterative, namely, the Recursive Recurrent Network (RNN) is explored. Although for tightly coupled real and...
The paper describes the application of graph theoretic concepts to the dynamic cross-correlation data obtained from MD simulations of adenine riboswitch, in the absence and presence of adenine. This novel approach combines both community detection algorithms that support edge weights, and cliques. The effect of variations in the values of nearest neighbors (NN) and correlation coefficient threshold...
A concurrent modified constant modulus (CM) algorithm and decision directed (DD) scheme for blind multiuser equalization is developed, suitable for downlink direct sequence code division multiple access (DS-CDMA) systems. Adaptation is performed by concurrently minimizing two cost functions based on either a CM criterion or a DD scheme for all active users. Computer simulations are used to assess...
Multiple-input multiple-output (MIMO) technology using orthogonal frequency division multiplexing (OFDM) together called MIMO-OFDM has emerged as the viable alterative to meet the demands of greater bandwidth and quality of service of the ever expanding mobile communication networks. For MIMO-OFDM systems channel estimation is one of the challenging issues. Statistical characteristics of wireless...
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