Abstract
The suboptimum RBF receiver is proposed to reduce not only the complexity with regard to the number of centers but also required instructions per one bit reception. By Monte Carlo simulations over the AWGN channel, it is confirmed that the proposed receiver with reduced complexity can be used to obtain the near optimum performance. Moreover, the proposed receiver can properly cope with manifold environment.
Original language | English |
---|---|
Pages | 1977-1982 |
Number of pages | 6 |
Publication status | Published - 2001 |
Event | International Joint Conference on Neural Networks (IJCNN'01) - Washington, DC, United States Duration: 2001 Jul 15 → 2001 Jul 19 |
Other
Other | International Joint Conference on Neural Networks (IJCNN'01) |
---|---|
Country/Territory | United States |
City | Washington, DC |
Period | 01/7/15 → 01/7/19 |
All Science Journal Classification (ASJC) codes
- Software
- Artificial Intelligence