In this paper, we present a method that manipulates the decoding network to reduce both computational complexity and response latency while maintaining high ASR accuracy.
Antenna array thinning by nonlinear multiplicative processing of subarray signals is highly efficient.
Coding has traditionally been used at the physical layer in communication networks to prevent and correct errors and erasures incurred in transmission of data.
Currently, the major issue in the growth of GaAs and InP single crystal boules is the reduction in dislocation density.
Networks Operators unanimously agree on the need to reduce power consumption of their networks.
We show that the complexity of the receiver-side dynamic butterfly equalizer can be significantly reduced by incorporating a matched filter in the static chromatic dispersion equalizer for root-rai
© The Author(s)2018. Despite the promise of an orders-of-magnitude increase in transmission capacity, practical implementation of mode-division multiplexing faces a number of challenges.
We have found that, when software is developed by multiple, geographically separated teams, the cost-benefit trade-offs of software inspection change.
One of the current trends of 6G wireless networks research is to investigate short distance and dense scenarios, where users are locally connected in sub-networks.
Latency is increasingly becoming a performance bottleneck for networks, but historically networks have been designed with aims of maximising throughput and utilisation.
