Fuzzy Characteristic Analysis of Digital TV Broadcast Signal on Account of Data Mining Algorithm

Inhalt:
Digital TV and digital band are playing an increasingly important role in people's life, and even play a key role in some segmented video channels. Digital TV usually has good quality, strong interference rejection, wide range of action and many other beneficial effects. At present, digital TV technology is becoming more and more perfect, and relevant band standards have been established. However, due to the need to obtain higher quality digital TV broadcast signals, the researchers have intensified the research and development of digital TV broadcast signals and made efforts to improve the processing ability of signal fuzzy characteristics. Among them, DTTB has outstanding characteristics: sufficient transmitting energy, wide signal range and high broadband performance. This paper studies the fuzzy characteristic analysis of digital TV broadcast signal based on data mining algorithm, and analyzes the process of fuzzy characteristic analysis of digital TV broadcast signal. The test results show that the fuzzy characteristic analysis of digital TV broadcast signal based on data mining algorithm can effectively enhance the fuzzy characteristic analysis of digital TV broadcast signal.