136 citations · 160 across the 4 of their papers we have counts for
5 papers
Ensemble Wrapper Subsampling for Deep Modulation Classification
Sharan Ramjee, Shengtai Ju, Diyu Yang +3
Subsampling of received wireless signals is important for relaxing hardware requirements as well as the computational cost of signal processing algorithms that rely on the output s…
Histogram Transform Ensembles for Large-scale Regression
Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu +1
We propose a novel algorithm for large-scale regression problems named histogram transform ensembles (HTE), composed of random rotations, stretchings, and translations. First of al…
Best-scored Random Forest Classification
Hanyuan Hang, Xiaoyu Liu, Ingo Steinwart
We propose an algorithm named best-scored random forest for binary classification problems. The terminology "best-scored" means to select the one with the best empirical performanc…
Fast Deep Learning for Automatic Modulation Classification
Sharan Ramjee, Shengtai Ju, Diyu Yang +3
In this work, we investigate the feasibility and effectiveness of employing deep learning algorithms for automatic recognition of the modulation type of received wireless communica…
Deep Neural Network Architectures for Modulation Classification
Xiaoyu Liu, Diyu Yang, Aly El Gamal
In this work, we investigate the value of employing deep learning for the task of wireless signal modulation recognition. Recently in [1], a framework has been introduced by genera…