Abstract
The paper proposes the use of an adaptive coding algorithm for processing and transmitting video signals. Encoding process of video signals intend to divide the color of each pixel into three components (red, green and blue). The whole video frame could be represented as networked system where each pixel is a independent agent. In this case, agents are understood as a system having any dynamics. Thus, the movement of a pixel is described by a change in the intensity of its RGB components. This approach allows us to consider the process of intensity change as the trajectory of the dynamic system and apply observation and coding methods to it. The proposed approach allows to encode signals in real time without their prior complete analysis. Depending on the coding rate and the nature of the signal, it is possible to save the amount of information transmitted as a result of the algorithm. Observer is used to get estimation of colors signals and multiagent model is used to get to accurate estimation process.
Highlights
With the development of wireless communications, there are more and more opportunities for autonomous systems interacting with the environment, with other system and users
The similar method is described in [Zierhofer, 2000], in the future works it is planned to research possibility to apply this method to encoding video signal with multiagent approach and compare with method proposed in this paper
This paper describes the applying of an adaptive coding procedure for video signals in case of limited bandwidth of the communication channel
Summary
With the development of wireless communications, there are more and more opportunities for autonomous systems interacting with the environment, with other system and users. Examples of the signals that can be transmitted between systems include navigation data, state vectors, various information received from sensors, including audio and video signals In this regard, it becomes relevant to use such coding, which can process signals in real-time for subsequent transmission through a data channel with limited bandwidth. The problem of transferring information from one quadrocopter to another was solved with this procedure This issue is relevant with the increasing popularity of multi-agent systems (see, for example, [Fax and Murray, 2004; Proskurnikov and Fradkov, 2016; Parsheva and Ternovaja, 2019]). In the present paper observer is used for recovering the sampled signal on the receiver Such approach helps to decrease amount of information transferring over any digital channel. This paper focuses on the ways and results of this application
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