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作 者:刘维青 史海江 LIU Weiqing;SHI Haijiang(Guangrao county Integrated Media Center,Dongying 257300,China;Zhuji Integrated Media Center,Shaoxing 311800,China)
机构地区:[1]广饶县融媒体中心,山东东营257300 [2]诸暨市融媒体中心,浙江绍兴311800
出 处:《电视技术》2024年第6期118-120,共3页Video Engineering
摘 要:探讨基于深度学习的干扰识别与抑制技术及自适应干扰抑制算法等在广播电视系统中的应用及其潜在挑战。通过提出有效的系统集成策略、满足实时性要求、优化数据获取与处理流程,以及确保系统的安全性与可靠性,为广播电视系统的信号质量提升和智能化发展提供理论支持和实践指导。这些创新型技术的应用,有望显著提高广播电视信号的清晰度和稳定性,提升观众体验,推动广播电视行业的技术进步和高质量发展。This paper discusses the application of deep learning-based interference recognition and suppression technology and adaptive interference suppression algorithm in broadcasting and television systems and their potential challenges.By proposing effective system integration strategies,meeting real-time requirements,optimizing data acquisition and processing processes,and ensuring the security and reliability of the system,the paper provides theoretical support and practical guidance for the signal quality improvement and intelligent development of the radio and television system.The application of these innovative technologies is expected to significantly improve the clarity and stability of radio and television signals,enhance the audience experience,and promote the technical progress and high-quality development of the radio and television industry.
关 键 词:广播电视系统 深度学习 干扰识别与抑制 实时性要求
分 类 号:TN931.2[电子电信—信号与信息处理]
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