Computer hardware

Data transmission

Process (computing)

Computer data storage

Digital data

Real-time computing

Operating system

Computer science

Cloud computing

Digital signal processing

Data processing

Distributed computing

Signal processing

Database

Future Generation Computer Systems

The traditional digital signal processing technology in electronic information engineering has many issues, such as redundant data, low data utilization and so on. To end these issues, this paper proposed a new digital signal processing technology based on distributed cloud computing in electronic information engineering. From the data collection, data analysis, data classification, data mining, effective information storage and other aspects of conventional digital signal, through relying on distributed cloud computing method and intelligent gradient tracking algorithms to achieve efficient processing of digital signal, Proportional Integral Derivative (PID) control strategy is used to evaluate the intelligence degree of each link in the digital signal processing technology. This method can realize the adaptive regulation of data collection and storage in the process of digital signal processing, and realize diversified analysis and intelligent matching. Through the distributed cloud computing to achieve the rapid control of the system storage module, so that the database can improve the work efficiency, reduce the power consumption cost of the system in the process of data operation, and improve the efficiency of digital signal processing. The experimental results show that the digital signal processing system based on distributed cloud computing and intelligent gradient tracking algorithms has the advantages of high computing efficiency, high accuracy and good stability.

Application of new digital signal processing technology based on distributed cloud computing in electronic information engineering