activity
20192023
most citedA Neural Network Detector for Spectrum Sensing under Uncertainties

3 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IT2023

Fundamental Limits of Multiple Sequence Reconstruction from Substrings

Kel Levick, Ilan Shomorony

The problem of reconstructing a sequence from the set of its length- substrings has received considerable attention due to its various applications in genomics. We study an unco…

cs.IT2021

Achieving the Capacity of a DNA Storage Channel with Linear Coding Schemes

Kel Levick, Reinhard Heckel, Ilan Shomorony

Due to the redundant nature of DNA synthesis and sequencing technologies, a basic model for a DNA storage system is a multi-draw "shuffling-sampling" channel. In this model, a rand…

cs.IT2020

The Twelvefold Way of Non-Sequential Lossless Compression

Taha Ameen ur Rahman, Alton S. Barbehenn, Xinan Chen +27

Many information sources are not just sequences of distinguishable symbols but rather have invariances governed by alternative counting paradigms such as permutations, combinations…

eess.SP2019★ 3 cited

A Neural Network Detector for Spectrum Sensing under Uncertainties

Ziyu Ye, Qihang Peng, Kelly Levick +4

Spectrum sensing is of critical importance in any cognitive radio system. When the primary user's signal has uncertain parameters, the likelihood ratio test, which is the theoretic…

eess.SP2019★ 1 cited

Comparison of Neural Network Architectures for Spectrum Sensing

Ziyu Ye, Andrew Gilman, Qihang Peng +3

Different neural network (NN) architectures have different advantages. Convolutional neural networks (CNNs) achieved enormous success in computer vision, while recurrent neural net…