activity
20182022
most citedAnalysis of Nonlinear Fiber Interactions for Finite-Length Constant-Composition Sequences

49 citations · 102 across the 9 of their papers we have counts for

collaborators

10 papers

physics.optics2022★ 2 cited

Line-field Coherent Sensing with LED Illumination

Celalettin Yurdakul, David S. Millar, Hassan Mansour +5

We describe a method of low-coherence interferometry based optical profilometry using standard light-emitting diode (LED) illumination and complementary metal-oxide-semiconductor (…

eess.SP2021★ 7 cited

DNN-assisted optical geometric constellation shaped PSK modulation for PAM4-to-QPSK format conversion gateway node

Takahiro Kodama, Toshiaki Koike-Akino, David S. Millar +2

An optical gateway to convert four-level pulse amplitude modulation to quadrature phase shift keying modulation format having shaping gain was proposed for flexible intensity to ph…

eess.SP2020

Huffman-Coded Sphere Shaping for Extended-Reach Single-Span Links

Pavel Skvortcov, Ian Phillips, Wladek Forysiak +4

Huffman-coded sphere shaping (HCSS) is an algorithm for finite-length probabilistic constellation shaping, which provides nearly optimal energy efficiency at low implementation com…

eess.SP2020★ 25 cited

Huffman-coded Sphere Shaping and Distribution Matching Algorithms via Lookup Tables

Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino +3

In this paper, we study amplitude shaping schemes for the probabilistic amplitude shaping (PAS) framework as well as algorithms for constant-composition distribution matching (CCDM…

eess.SP2020★ 49 cited

Analysis of Nonlinear Fiber Interactions for Finite-Length Constant-Composition Sequences

Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino +3

In order to realize probabilistically shaped signaling within the probabilistic amplitude shaping (PAS) framework, a shaping device outputs sequences that follow a certain nonunifo…

physics.optics2020★ 1 cited

Generative Deep Learning Model for a Multi-level Nano-Optic Broadband Power Splitter

Yingheng Tang, Keisuke Kojima, Toshiaki Koike-Akino +6

We propose a novel Conditional Variational Autoencoder (CVAE) model, enhanced with adversarial censoring and active learning, for the generation of 550 nm broad bandwidth (1250 nm…