Construction of a two-dimensional-VWOOC based on time domain/frequency domain optical CDMA system

2020 ◽  
Vol 16 (5) ◽  
pp. 384-389
Author(s):  
Zhuo Lu ◽  
Ye Lu ◽  
Chuan-qi Li ◽  
Peng Zhou
2009 ◽  
Author(s):  
Santiago Tainta ◽  
Waldimar Amaya ◽  
Maria J. Erro ◽  
Maria J. Garde ◽  
Raimundo García-Olcina ◽  
...  

2005 ◽  
Vol 1 (3) ◽  
pp. 232-234 ◽  
Author(s):  
Xiu-li Zhou ◽  
Yu Hu

Author(s):  
Rajesh Yadav Yadav ◽  
Gurjit Kaur Kaur

<p>In this work an experimental demonstration is proposed to implement the synchronous optical code division multiple access system using two dimensional wavelength hopping and time spreading optical prime code is presented. An optical CDMA system is configured on latest version of optisystem by optiwave for the 20 users (Prime Number = 5) connected in a network operating at a bit rate 10 Gbps each. Tunability is achieved by using a MATLAB based delay selector which serves as the source of control signal for optical delay lines. The encoded optical signal of each user has been assigned a particular mode. The resulting optical signal is then transmitted over parabolic index multimode optical fiber. The received signal can successfully be retrieved at the decoder, when the encoder and decoder are configured for the same user. The performance of Optical CDMA system is evaluated in terms of the autocorrelation and cross correlation function, BER, Q factor, eye diagram and compared with 1D code for a given prime number. </p>


2015 ◽  
Vol 66 (3) ◽  
pp. 169-173 ◽  
Author(s):  
Boško Božilović ◽  
Branislav M. Todorović ◽  
Miroslav Obradović

AbstractSpeaker recognition is the process of automatically recognizing who is speaking on the basis of speaker specific characteristics included in the speech signal. These speaker specific characteristics are called features. Over the past decades, extensive research has been carried out on various possible speech signal features obtained from signal in time or frequency domain. The objective of this paper is to introduce two-dimensional information entropy as a new text-independent speaker recognition feature. Computations are performed in time domain with real numbers exclusively. Experimental results show that the two-dimensional information entropy is a speaker specific characteristic, useful for speaker recognition.


2005 ◽  
Vol 23 (12) ◽  
pp. 3966-3980 ◽  
Author(s):  
Cheing-Hong Lin ◽  
Jingshown Wu ◽  
Chun-Liang Yang

2019 ◽  
Vol 109 ◽  
pp. 233-240 ◽  
Author(s):  
A. Cherifi ◽  
N. Jellali ◽  
M. Najjar ◽  
S.A. Aljunid ◽  
B.S. Bouazza

2017 ◽  
Vol 49 (12) ◽  
Author(s):  
Monia Najjar ◽  
Nabiha Jellali ◽  
Moez Ferchichi

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