A genetic algorithm assisted minimum mean-square error (MMSE) multi-user detector (MUD) is proposed for a turbo-trellis-coded modulation-based space division multiple access aided orthogonal frequency division multiplexing system. The simulation results show that the system employing the concatenated MMSE-GA MUD was capable of achieving a similar performance to that attained by its optimum coun...

We report the first case of human melioidosis from Mauritius, where Burkholderia pseudomallei has never been isolated. The patient was immunocompromised, had never traveled abroad, and had a history of regular exposure to mud. She became ill at a time when rainfall was higher than the monthly average.

OBJECTIVE The aim of this study was to reveal the efficacy of mud pack treatment in patients with knee osteoarthritis and to find the contribution of chemical factors to the build up of these effects. METHODS Sixty patients were randomly assigned to directly applied mud pack (study) group or to nylon-covered mud pack (control) group. Thirty patients in the study group had mud application 15 t...

In the MIMO-OFDM systems, the traditional methods of multi-user detection have some limitations in the rank-deficient scenarios, where the number of supported users exceeds the number of receiver antennas. The multiuser detection (MUD) based on the genetic simulated annealing algorithm (GSAA) is proposed for the rankdeficient problems in the multi-user MIMO-OFDM system. The simulation results s...

sore has appeared among the class of people (not necessarily poor) who, during a heavy rainy season, walked in mud and worked in marshy localities, barefooted. Forty-five inches of rain, mud and marshy conditions?and Naga sore were not previously known to this place. The same thing happened in Benares last summer, when heavy rainfall flooded the area, resulting in mud and marsh so that Naga sor...

Conventional Multi-User Detection (MUD) algorithms for the Multi-Input, Multi-Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system fail to consider the detection performance and algorithm complexity simultaneously. To address this problem, a new Joint Intelligent MUD (JI-MUD) algorithm that aims to improve the MUD performance of the MIMO-OFDM system and to reduce the complexity ...

A generically applicable hybrid MultiUser Detector (MUD) concept is proposed by appropriately activating different MUDs in consecutive turbo iterations based on the Mutual Information (MI) gain. It is demonstrated that the proposed hybrid MUD is capable of approaching the optimal Bayesian MUD’s performance despite its reduced complexity, which is at a modestly increased complexity in comparison...