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PbS nanoparticles having the suitability for power semiconductor devices, were synthesized by facile, effective, and surfactant-free hydrothermal method. The effect of reaction time on the morphology, microstructure and optical properties of PbS nanoparticles was investigated. The methods of XRD, TEM, HRTEM, EDX, FTIR and UV–VIS photometry measurements were used for PbS nanoparticles characterization...
Multiple Input Multiple Output (MIMO) techniques used in the 4G-LTE wireless communication standard. Huber M-estimator based robust detector for spatially multiplexing multiple input multiple output communication (SM-MIMO) systems was proposed, and investigated. Generalized Gaussian distribution was used in terms of uncertain noisy environments. The simulation results show that the proposed detector...
Based on the use of Fair M-Estimator, Fair robust detection algorithm was introduced, in order to get more robust detector. The proposed algorithm designed for LTE communication networks, which use spatial multiplexing transmission method, in Multiple Input Multiple Output systems. The channel environments used are Additive White Gaussian (AWGN) noise and heavy-tailed noise distributions as an actual...
Artificial neural networks are one of the most popular and promising areas of artificial intelligence research. Training data containing outliers are often a problem for supervised neural networks learning algorithms that may not always come up with acceptable performance. Many robust learning algorithms have been proposed so far to improve the performance of neural networks in the presence of outliers...
The most commonly used multiple access technique in wireless communication sphere is the direct sequence code division multiple access. The main drawback of this system is multiple access interference (MAI) caused by sharing a number of users the same channel. Multiuser Detection enhances the performance of DS-CDMA system by combating MAI. In this paper, the performance of the neural network detector...
The effect of increasing the number of transmit and receive antennas in Spatial Multiplexing - Multiple Input Multiple Output (MIMO) communication systems, on the performance of LTE detectors, was investigated, in order to get more robust detectors. The channel environments used are Additive White Gaussian (AWGN), noise and heavy-tailed noise distributions as an actual noise distribution. The detectors...
Multi-layer feed-forward neural networks has been proven to be very successful in many applications, as industrial modeling, classification and function approximations. Training data containing outliers are often a problem for these supervised neural networks learning methods that may not always come up with acceptable performance. Robust neural network learning algorithms are often applied to deal...
A proposed smart robust interpolator that based on robust trained neural networks is presented and compared with other popular interpolation methods widely implemented in mathematical, industrial and manufacturing applications. Recently many interpolation methods have been developed, and examined. Most of them are based on looking for the optimal interpolation trajectories based on the well known...
We consider the multiuser adaptive asymptotically robust invariant demodulation algorithm for future 4G communication systems that intended to use CDMA as multiple access technique. Considered algorithm provides multiple access interference suppression and does not require controlling of power of mobile transmitters. In addition, the algorithm provides high quality demodulation under the conditions...
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