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

机译:使用H.265编码器和ANFIS速率控制器的UWB网络上的高清视频传输

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摘要

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.
机译:无线个人区域网络(WPAN)已成为每个家庭的一部分。安装和可访问性的简易性已经为各种技术拉动了很多优势。速度低或高速的应用,WPAN可以适应它。正如我们前往高清晰度视频和其他高端图像和视频通信,WPA在提供质量输出方面。因此,解决这一挑战超宽带(UWB)技术与WPAN合并以模塑现有的环孔,并有助于质量高,速度优异,易于访问。 UWB独特的特性,如高速数据传输,成本低,功耗低,短距离使其成为在WPAN拓扑中提供高端图像和视频的选择。在这个提出的研究工作中,我们将使用UWB以及环路过滤技术来消除输出中的阻塞效果。概率性神经网络与循环滤波一起注入,用于分类目的,称为IFPNN。本研究的主要目的是实验H.265编码器和ANFIS控制器的应用。新方法包括三个重要阶段,包括传输模块,控制模块和接收器模块。仿真结果源自MATLAB与BER和MSE作为评估指标。

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