Cluster guide particle swarm optimization (CGPSO) for underdetermined blind source separation with advanced conditions
TY Sun, CC Liu, SJ Tsai, ST Hsieh… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
The underdetermined blind source separation (BSS), which based on sparse
representation, is discussed in this paper; moreover, some difficulties (or real assumptions) …
representation, is discussed in this paper; moreover, some difficulties (or real assumptions) …
Blind separation with unknown number of sources based on auto-trimmed neural network
TY Sun, CC Liu, ST Hsieh, SJ Tsai - Neurocomputing, 2008 - Elsevier
This paper focuses on blind source separation with an unknown number of sources, which is
the case generally assumed in most practical applications. Several over-determined neural …
the case generally assumed in most practical applications. Several over-determined neural …
Blind sparse source separation using cluster particle swarm optimization technique.
CC Liu, TY Sun, KY Li, ST Hsieh… - Artificial Intelligence and …, 2007 - actapress.com
BLIND SPARSE SOURCE SEPARATION USING CLUSTER PARTICLE SWARM
OPTIMIZATION TECHNIQUE Chan-Cheng Liu, Tsung-Ying Sun, Kan-Yuan Li, Sheng-Ta Hsieh …
OPTIMIZATION TECHNIQUE Chan-Cheng Liu, Tsung-Ying Sun, Kan-Yuan Li, Sheng-Ta Hsieh …
[PDF][PDF] Crosstalk mitigation techniques in multi-wavelength networks comprising photonic integrated circuits
E Tangdiongga - 2001 - research.tue.nl
Wavelength-division multiplexing (WDM) offers a key solution to satisfy the everincreasing
demand for data transmission capacity in optical networks. The enormous bandwidth of an …
demand for data transmission capacity in optical networks. The enormous bandwidth of an …
WDM monitoring through blind signal separation
High data-rate WDM optical transmission network management requires monitoring a
variety of channel performance parameters such as wavelength, power, SNR, etc. Cost …
variety of channel performance parameters such as wavelength, power, SNR, etc. Cost …
Mixing matrix identification for underdetermined blind signal separation: Using hough transform and fuzzy k-means clustering
TY Sun, LE Lan, CC Liu, CL Huo - 2009 IEEE International …, 2009 - ieeexplore.ieee.org
This paper focuses on the underdetermined blind signal separation problem with sparse
representation. The algorithm is proposed to identify the parameters of mixing model which …
representation. The algorithm is proposed to identify the parameters of mixing model which …
Quality monitoring of WDM channels with blind signal separation methods
Feature Issue on Optical Performance Monitoring (OPM) An effective technique to monitor
the quality of wavelength-division-multiplexed (WDM) channels is presented. This process …
the quality of wavelength-division-multiplexed (WDM) channels is presented. This process …
WDM monitoring using blind signal separation based on higher-order statistics
WDM transmission performance in optical networks can be monitored efficiently by first
separating the electronic baseband channel mixtures that result after direct photodetection …
separating the electronic baseband channel mixtures that result after direct photodetection …