Research Output per year
Deep learning (DL) and Artificial Intelligence (AI) have proven to be exciting and powerful machine learning-based techniques that have solved many real world challenges. They have made their mark in the image and video processing and natural language processing fields and now seek to make an impact on radio communications. With the increasing demand of high quality wireless data processing for spectrum sensing; cognitive radio; and accurate channel estimation, DL techniques could be used as the new state of the art answers to these problems.
|Number of pages||1|
|Publication status||Published - 10 Sep 2019|
|Event||29th International Conference on Field-Programmable Logic and Applications - Barcelona Supercomputing Center and Universitat Politècnica de Catalunya, Barcelona, Spain|
Duration: 9 Sep 2019 → 11 Sep 2019
|Conference||29th International Conference on Field-Programmable Logic and Applications|
|Abbreviated title||FPL 2019|
|Period||9/09/19 → 11/09/19|
- deep learning
- machine learning
Maclellan, A., McLaughlin, L., Crockett, L. & Stewart, R. W., 9 Sep 2019. 2 p.
Research output: Contribution to conference › Paper
Maclellan, A., McLaughlin, L., Crockett, L., & Stewart, R. W. (2019). FPGA accelerated deep learning radio modulation classification using MATLAB system objects & PYNQ. Poster session presented at 29th International Conference on Field-Programmable Logic and Applications, Barcelona, Spain.