Signal Interference Suppression Technology in the Broadcasting Process of Radio and Television
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.
radio and television systemsdeep learninginterference identification and suppressionreal-time requirements
NETL
NSTL
万方数据
