智能化广播电视信号质量检测技术研究
Research on Intelligent Radio and Television Signal Quality Detection Technology
郝延军1
作者信息
- 1. 滨州博兴县融媒体中心,山东 滨州 256500
- 折叠
摘要
随着广播电视业态和技术的快速发展,传统的人工信号质量监测方式越来越难以适应海量异构数据的处理需求,因此构建智能化信号质量监测与管理系统成为亟待解决的问题.首先,分析了大数据分析和人工智能(Artificial Intelligence,AI)技术在处理数据方面的优势.其次,阐述了在这些技术的支撑下构建智能化信号质量监测系统的可行性.再次,探讨了信号功率频谱特征分析、图像质量评估模型等关键技术,以及应用机器学习和深度学习等算法实现信号的智能化特征提取和质量评估的方法.最后,提出了智能化信号质量监测系统的设计思路.
Abstract
With the rapid development of radio and television formats and technologies,traditional artificial signal quality monitoring methods is more and more difficult to meet the needs of massive heterogeneous data processing,so the construction of intelligent signal quality monitoring and management system has become an urgent problem to be solved.First,it analyzes the advantages of big data analysis and Artificial Intelligence(AI)technology in processing data.Secondly,the feasibility of constructing intelligent signal quality monitoring system supported by these technologies is expounded.Thirdly,the key technologies such as signal power spectrum feature analysis and image quality evaluation model are discussed,as well as the methods of intelligent feature extraction and quality evaluation of signals by applying machine learning and deep learning algorithms.Finally,the design idea of intelligent signal quality monitoring system is put forward.
关键词
大数据/人工智能/广播电视信号/质量监测/系统架构Key words
big data/artificial intelligence/radio and television signals/quality monitoring/system architecture引用本文复制引用
出版年
2024
NETL
NSTL
万方数据