Open AccessSignal Processing from the First Exploration of Big Data Horizon
Author(s) -
Shi Jin
Publication year - 2020
Publication title -
journal of networking and telecommunications
Language(s) - English
Resource type - Journals
ISSN - 2661-4065
DOI - 10.18282/jnt.v2i2.906
Subject(s) - big data , signal (programming language) , perspective (graphical) , computer science , signal processing , data processing , sensor fusion , process (computing) , data science , data quality , telecommunications , data mining , database , artificial intelligence , engineering , radar , metric (unit) , operations management , programming language , operating system
Under the background of the popularization and application of computers in various fields, the amount of diversified data has been greatly increased, which also means that the era of big data is gradually coming. At the same time, various signal equipment and sensor equipment are widely used in various fields. People from the perspective of big data expect to collect, analyze and process the signal data by means of big data. However, due to the diversity of signal data and the huge and complex amount of data, the future development trend of signal from the perspective of big data is the information fusion of signal data. Therefore, it is necessary to explore signal processing from the perspective of big data. With the application of signal processing technology, the efficiency and quality of information processing can be improved gradually.