One of the most important methods used to cope with multipath fading effects,which cause the symbol to be received incorrectly in wireless communication systems,is the use of multiple transceiver antenna *** combining...
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One of the most important methods used to cope with multipath fading effects,which cause the symbol to be received incorrectly in wireless communication systems,is the use of multiple transceiver antenna *** combining the multi-input multi-output(MIMO)antenna structure with non-orthogonal multiple access(NOMA),which is a new multiplexing method,the fading effects of the channels are not only reduced but also high data rate transmission is ***,when the maximum likelihood(ML)algorithm that has high performance on coherent detection,is used as a symbol detector in MIMO NOMA systems,the computational complexity of the system increases due to higher-order constellations and antenna *** a result,the implementation of this algorithm will be *** this study,the backtracking search algorithm(bsa)is proposed to reduce the computational complexity of the symbol detection and have a good bit error performance for MIMO-NOMA *** emphasize the efficiency of the proposed algorithm,simulations have been made for the system with various antenna *** can be seen from the obtained results,a considerable reduction in complexity has occurred using bsa compared to the ML algorithm,also the bit error performance of the system is increased compared to other algorithms.
In this work, an encoding of polysomnographic signals into a spike firing rate, based on the bsa algorithm, is used as a discriminant feature for sleep stage classification. This proposal obtains a better sleep stagin...
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ISBN:
(纸本)9783319192642;9783319192635
In this work, an encoding of polysomnographic signals into a spike firing rate, based on the bsa algorithm, is used as a discriminant feature for sleep stage classification. This proposal obtains a better sleep staging compared with the mean power signals frequency. Furthermore, a comparison of classification results obtained by different algorithms such as Support Vector Machines, Multilayer Perceptron, Radial Basis Function Network, Naive Bayes, K-Nearest Neighbors and the decision tree algorithm C4.5 - is reported, demonstrating that Multilayer Perceptron has the best performance.
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