This paper presents a Gaussian radial basis function neural network based on sliding mode control for trajectory tracking and vibration control of a flexible joint manipulator. To study the effectiveness of the controllers, designed controller is developed for tip angular position control of a flexible joint manipulator. The adaptation laws of designed controller are obtained based on sliding m...

In maximum-likelihood based speech recognition systems, it is important to accurately estimate the joint distribution of feature vectors given a particular acoustic model. In this work, we propose that by modeling the joint distribution of time-localized feature vectors and statistics relating those time-localized feature vectors to the relevant acoustic context, we can estimate information con...

In massive multiple-input multiple-output (MIMO) systems, hybrid analog-digital beamforming is an essential technique for exploiting the potential array gain without using a dedicated radio frequency chain each antenna. However, due to large number of antennas, conventional channel estimation and algorithms generally require high computational complexity signaling overhead. this work, we propos...

The use of directional transmission in millimeter-Wave (mmWave) frequencies results limited channel coherence time. In this paper, we take the time into account for non-orthogonal multiple access (NOMA) mmWave hybrid beamforming systems. Due to time, beamwidth beamformer affects beam-training which turn directly impacts data rate. To investigate trade-off, utilize a combined algorithm. Then, fo...