A Hardware Implementation of Anti-noise Bayesian Deconvolution Algorithm Based on FPGA and Network Port Transmission
In the field of computer science and engineering, hardware acceleration and encryption are key technologies for improving computing power and ensuring information security. FPGAs can be used to accelerate core algorithms and implement information encryption. This experiment focuses on the noise-resistant Bayesian deconvolution algorithm, improving its noise resistance on FPGAs, and achieving hardware acceleration and optimization. It also solves the problem of large data volume by using Ethernet instead of serial ports, significantly improving the efficiency of information processing and system security. It has important engineering significance.
Authors
- Shiwei Feng (ORCID: https://orcid.org/0000-0001-9038-8309)
- Yaning Wang (ORCID: https://orcid.org/0000-0001-6989-5066)
- Boyang Zhang (ORCID: https://orcid.org/0000-0002-2060-5555)
- Yinqi Zhou (ORCID: https://orcid.org/0009-0001-0553-2925)
Institutions
- Beijing University of Technology (CN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1109/eiecc64539.2024.10929603
- Primary Topic
- Blind Source Separation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00