Numerical results show that the performance of systems with optical hardlimiter is superior to that without optical hardlimiter.
分析结果表明,基于修正素数码的光硬限幅器同步系统的误码性能优于无光硬限幅器系统的误码性能。
2
A learning algorithm based on a hardlimiter for feedforward neural networks (NN) is presented, and is applied in solving classification problems on separable convex sets and disjoint sets.