X Zha, H Peng, X Qin, G Li, S Yang - Sensors, 2019 - mdpi.com
… to identify the signal modulation. Therefore, during the signaldetection procession, we identify them in the same format, and only detect the signal presence or absence. Through the …
… 90% classification accuracy when the signal is in a high SNR … a distributed sensor network using deeplearning models. A … , our deeplearning model targets signal protocol detection in …
X Yi, C Zhong - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
… deeplearning method, which has demonstrated superior ability of functional fitting, we propose to adopt a deep … , “Power of deeplearning for channel estimation and signaldetection in …
… of DL-SR methods on binary signaldetection performance. … binary signaldetection performance of a suboptimal observer. … basic theory relating to binary signaldetection tasks, NOs, and …
CB Ha, HK Song - IEEE Access, 2018 - ieeexplore.ieee.org
… a new signaldetection scheme based on deeplearning. To address the challenges of signaldetection, we propose the method which integrates the ensemble deeplearning with the …
MS Baek, S Kwak, JY Jung, HM Kim… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
… CONCLUSION In this paper, the deeplearning-based MIMO signaldetection techniques for conventional MIMO transmitters are proposed. The DNN based detection can achieve the …
M Liu, W Wu, Z Gu, Z Yu, FF Qi, Y Li - Neurocomputing, 2018 - Elsevier
… We propose a novel deeplearning method called BN 3 for P300 signaldetection. Our method is fully data-driven while achieving the state-of-art character recognition performance by …
J Xia, D Deng, D Fan - IEEE Transactions on Broadcasting, 2020 - ieeexplore.ieee.org
… the deeplearning based receiver structure in [1]. In particular, the deeplearning based MIMO detector … ways such as the reinforcement learning [3], [4] and meta-learning method [5], [6]. …
O Mac Aodha, R Gibb, KE Barlow… - PLoS computational …, 2018 - journals.plos.org
… Our result that deeplearning networks consistently outperformed other baselines, is … improved performance over other supervised learning methods for acoustic signal classification [39]. …