activity
20102023
most citedDeterministic Construction of Partial Fourier Compressed Sensing Matrices Via Cyclic Difference Sets

14 citations · 27 across the 10 of their papers we have counts for

collaborators

10 papers

eess.IV2023

End-to-End Learning-Based Wireless Image Recognition Using the PyramidNet in Edge Intelligence

Kyubihn Lee, Nam Yul Yu

In edge intelligence, deep learning~(DL) models are deployed at an edge device and an edge server for data processing with low latency in the Internet of Things~(IoT). In this lett…

cs.IT2021★ 2 cited

Design of Non-Orthogonal Sequences Using a Two-Stage Genetic Algorithm for Grant-Free Massive Connectivity

Nam Yul Yu

In massive machine-type communications (mMTC), grant-free access is a key enabler for a massive number of users to be connected to a base station with low signaling overhead and lo…

cs.IT2020

Binary Golay Spreading Sequences and Reed-Muller Codes for Uplink Grant-Free NOMA

Nam Yul Yu

Non-orthogonal multiple access (NOMA) is an emerging technology for massive connectivity in machine-type communications (MTC). In code-domain NOMA, non-orthogonal spreading sequenc…

cs.IT2019★ 1 cited

Secure and efficient compressed sensing based encryption with sparse matrices

Wonwoo Cho, Nam Yul Yu

In this paper, we study the security of a compressed sensing (CS) based cryptosystem called a sparse one-time sensing (S-OTS) cryptosystem, which encrypts a plaintext with a sparse…

cs.IT2017★ 4 cited

Indistinguishability and Energy Sensitivity of Asymptotically Gaussian Compressed Encryption

Nam Yul Yu

The principle of compressed sensing (CS) can be applied in a cryptosystem by providing the notion of security. In information-theoretic sense, it is known that a CS-based cryptosys…

cs.IT2016★ 2 cited

An Information Theoretic Study for Noisy Compressed Sensing With Joint Sparsity Model-2

Sangjun Park, Nam Yul Yu, Heung-No Lee

In this paper, we study a support set reconstruction problem in which the signals of interest are jointly sparse with a common support set, and sampled by joint sparsity model-2 (J…