[PDF] Top 20 Neural Network based Video Quality via Adaptive FEC in Wireless Environment

... The Quality of Service (QoS) in wireless mobile networks refers to the capability of a network to provide better service and good transmission ...UMTS network, are recently developed for high ... See full document

... is based on the recurrent self­ organizing map, which is an uncommon neural network designed to process and recognize multi-dimensional temporal ...RSOM neural algorithm was necessary to ... See full document

... from adaptive bitrate streaming. As the video space grows content delivery networks and video providers can provide customers with a superior viewing ...experience. Adaptive bitrate technology ... See full document

... ABSTRACT: Video transmission over the wireless network faces many ...Currently, FEC mechanisms have been adopted together with Automatic Repeat request (ARQ) mechanism to overcome packet ... See full document

... and network layers for the video streaming ...objective video quality assessment using media layer models (application ...huge video QoE ...for video streaming is to factor in ... See full document

... in wireless channel condi- tions requires adaptive video streaming for efficient and higher quality of experience ...ate video freeze at display in the user equipment due to more wait ... See full document

... Scalable video coding and adaptive streaming methods [1] can be in cooperation combined to achieve efficiently the best potential quality of video streaming ...signal quality) ... See full document

... approach based on off-line trained artificial neural networks (ANNs) for an adaptive controller to compensate the packet loss and delay which almost occur in the channels of wireless ... See full document

... in video deblurring. It is the first time that, the Neural Network improved via subsampling and upsampling is applied to the field of the video ...value based back propagation, ... See full document

... transmissions. FEC schemes typically tune the FEC rate in accordance with feedback information provided by the ...and FEC rate calculation processes unavoidably have a finite duration, and thus the ... See full document

... current wireless communi- cation, password encryption, and decryption efficiency ...The neural network chaotic encryption al- gorithm [10–12] mainly utilizes the basic features of mixing, strong ... See full document

... Combining neural network with SMC not only has strong robustness which can resist system perturbation and external disturbance, but also is able to eliminate the chattering ...RBF neural ... See full document

... the adaptive neural network sliding mode controller proposed to control a DC motor, so we compare proposed controller with PID, classic SMC and ALNN, The simulation results proved that proposed ... See full document

... erased video packets, and only copies of the erased packets are ...retransmitting network node needs to be extended beyond the IP layer, in order to be capable of recognizing retransmission requests related ... See full document

... off-line based on historical traffic information, and then selected the timing plans using pattern matching ...min, based on the predicted ...time based on the traffic demands and able to synchronise ... See full document

... an adaptive neural network control term and a robustifying control term used to compensate for disturbances and approximation ...direct adaptive neural network control approach ... See full document

... I NDUCTION motors are the workhorses of industry because of their roughness and versatility. Different articles have discussed the key issues for successful motor operation: a quality motor, understanding of the ... See full document

... selected based on the local information like 1-hop neighbor ...the network with high node density [19], [20]; thus, we selected to provide a resource efficient routing protocol in a view point of memory ... See full document

... Further investigations presented in this thesis include the theory and design of RBF neural network-based nonlinear adaptive filters with Lyapunov stability, fuzzy adaptive filters with [r] ... See full document

... the neural-based models, 20 simulations are conducted, and the averaged results are collected for comparison ...functional neural network (RBFNN), and an adaptive neuro-fuzzy inference ... See full document