HD video transmission on UWB networks using H.265 encoder and anfis rate controller

Abstract

Wireless personal area networks (WPAN) has become a part of every home. Its easiness to install and accessibility has pulled in a lot of advantages to various technologies. Applications with low speed or high speed, WPAN can fit any kind into it. As we are heading towards high definition videos and other high end images and video communications, WPAN suffers in delivering quality output. Hence to resolve this challenge ultra wide band (UWB) technology is merged with WPAN to mould the existing loop holes and helps in resulting with great quality output with excellent speed and ease to access. UWB unique characteristics like high-speed data transmission, low cost, low power consumption and short-range made it a choice for delivering high end images and videos in WPAN topology. In this proposed research work we will be using UWB along with in-loop filtering technique to eradicate the blocking effect in the output. Probabilistic neural networks is infused along with in-loop filtering for the classification purpose called the IFPNN. The major purpose of this research is to experiment H.265 encoder and the application of ANFIS controller. The novel method consists of three important stages which include transmission module, control module and receiver module. The simulation results are derived from the Matlab with BER and MSE as evaluation metrics.