GSI Technology Takes On DSP With Deep Learning
■ Over the last decade, deep learning has risen to become the state-of-the-art method for solving challenging problems in computer vision, natural language processing, and voice recognition. These advances have prompted researchers in other domains to apply deep learning to improve solutions to problems with well-established approaches. Digital Signal Processing (DSP) is one of these domains, and it is poised for disruption.
■ The GSI Leda-G® PCIe board leverages the GSI APU to improve existing algorithms in spectrum management and monitoring in both the commercial and aerospace industry providing innovative approaches to HPC requirements in next generation communication networks. Example applications include dynamic spectrum sharing and efficient beam forming. Applicable markets include the NIST deep learning technique that could help 5G select and share frequencies nearly 5,000 times more efficiently than current methods1; and applications similar to DARPA Spectrum Challenge that used deep learning to win the $1M prize2. The solution is applicable to commercial, 5G communications, and aerospace and defense applications.
|
|
|
|
FAQ |
|
|
|
|
Please see the document for details |
|
|
|
|
|
|
|
|
|
|
|
English Chinese Chinese and English Japanese |
|
|
2020/7/21 |
|
|
|
|
|
|
|
|
729 KB |
- +1 Like
- Add to Favorites
Recommend
All reproduced articles on this site are for the purpose of conveying more information and clearly indicate the source. If media or individuals who do not want to be reproduced can contact us, which will be deleted.
Integrated Circuits
Discrete Components
Connectors & Structural Components
Assembly UnitModules & Accessories
Power Supplies & Power Modules
Electronic Materials
Instrumentation & Test Kit
Electrical Tools & Materials
Mechatronics
Processing & Customization
