Amplitude Feature Based Optical Modulation Format Identification for Digital Coherent Receivers Using Subtraction Clustering Algorithms

2015 ◽  
Author(s):  
Yukui Li ◽  
Jie Liu ◽  
Tianyan Zhou ◽  
Pengyu Chen ◽  
Kangping Zhong
Keyword(s):  
Clustering Algorithms ◽  
Optical Modulation ◽  
Modulation Format ◽  
Feature Based ◽  
Coherent Receivers

scholarly journals Blind optical modulation format identification assisted by signal intensity fluctuation for autonomous digital coherent receivers

2020 ◽  
Vol 28 (1) ◽  
pp. 302
Author(s):  
Lin Jiang ◽  
Lianshan Yan ◽  
Anlin Yi ◽  
Yan Pan ◽  
Ming Hao ◽  
...  
Keyword(s):  
Signal Intensity ◽  
Intensity Fluctuation ◽  
Optical Modulation ◽  
Modulation Format ◽  
Coherent Receivers

Stokes Space-Based Optical Modulation Format Recognition for Digital Coherent Receivers

2013 ◽  
Vol 25 (21) ◽  
pp. 2129-2132 ◽  
Author(s):  
Robert Borkowski ◽  
Darko Zibar ◽  
Antonio Caballero ◽  
Valeria Arlunno ◽  
Idelfonso Tafur Monroy
Keyword(s):  
Optical Modulation ◽  
Modulation Format ◽  
Coherent Receivers

scholarly journals Blind modulation format identification for digital coherent receivers

2015 ◽  
Vol 23 (20) ◽  
pp. 26769 ◽  
Author(s):  
Syed Muhammad Bilal ◽  
Gabriella Bosco ◽  
Zhenhua Dong ◽  
Alan Pak Tao Lau ◽  
Chao Lu
Keyword(s):  
Modulation Format ◽  
Coherent Receivers

All-Optical Modulation Format Conversion From QPSK to Symbol Rate Doubled BPSK Using FWM and Pulse Width Compression

2017 ◽  
Vol 35 (19) ◽  
pp. 4219-4226 ◽  
Author(s):  
Batdalai Sukh ◽  
Hiroki Kishikawa ◽  
Nobuo Goto ◽  
Ganbold Shagdar
Keyword(s):  
Pulse Width ◽  
Optical Modulation ◽  
Format Conversion ◽  
Modulation Format ◽  
Symbol Rate ◽  
All Optical

Featureless Data Clustering

2010 ◽  
pp. 141-164 ◽  
Author(s):  
Wilson Wong
Keyword(s):  
Data Clustering ◽  
Dominant Role ◽  
Clustering Algorithms ◽  
Adaptive Clustering ◽  
Feature Based ◽  
Clustering Approach ◽  
Semantic Computation ◽  
The Many ◽  
Time Required ◽  
Existing Data

Feature-based semantic measurements have played a dominant role in conventional data clustering algorithms for many existing applications. However, the applicability of existing data clustering approaches to a wider range of applications is limited due to issues such as complexity involved in semantic computation, long pre-processing time required for feature preparation, and poor extensibility of semantic measurement due to non-incremental feature source. This chapter first summarises the many commonly used clustering algorithms and feature-based semantic measurements, and then highlights the shortcomings to make way for the proposal of an adaptive clustering approach based on featureless semantic measurements. The chapter concludes with experiments demonstrating the performance and wide applicability of the proposed clustering approach.

All-Optical Modulation Format Conversion Between OOK, QPSK, and 8QAM

2019 ◽  
Vol 37 (16) ◽  
pp. 3925-3931 ◽  
Author(s):  
Hiroki Kishikawa ◽  
Masaki Uetai ◽  
Nobuo Goto
Keyword(s):  
Optical Modulation ◽  
Format Conversion ◽  
Modulation Format ◽  
All Optical

scholarly journals Demonstration of wavelength tunable optical modulation format conversion from 20 and 30 Gbit/s QPSK to PAM4 using nonlinear wave mixing

2020 ◽  
Vol 459 ◽  
pp. 124871 ◽  
Author(s):  
Ahmad Fallahpour ◽  
Fatemeh Alishahi ◽  
Ahmed Almaiman ◽  
Yinwen Cao ◽  
Amirhossein Mohajerin-Ariaei ◽  
...  
Keyword(s):  
Nonlinear Wave ◽  
Optical Modulation ◽  
Wave Mixing ◽  
Format Conversion ◽  
Modulation Format ◽  
Wavelength Tunable ◽  
Nonlinear Wave Mixing

All-optical modulation format conversion from star-QAM to PSK and ASK signals

2019 ◽  
Vol 451 ◽  
pp. 23-27 ◽  
Author(s):  
Feng Wan ◽  
Bao-Jian Wu ◽  
Feng Wen ◽  
Kun Qiu
Keyword(s):  
Optical Modulation ◽  
Format Conversion ◽  
Modulation Format ◽  
All Optical
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