The design of segmental-transmission-line for high-speed digital signals using genetic algorithms

Author(s):  
M. Yasunaga ◽  
I. Yoshihara ◽  
Jung H. Kim
2017 ◽  
Vol 12 (02) ◽  
pp. C02002-C02002
Author(s):  
R. Bates ◽  
C. Buttar ◽  
J. Buytaert ◽  
L. Eklund ◽  
L.F.S. de Acedo ◽  
...  

2008 ◽  
Vol 17 (03) ◽  
pp. 315-328 ◽  
Author(s):  
TANAY CHATTOPADHYAY ◽  
GOUTAM KUMAR MAITY ◽  
JITENDRA NATH ROY

Nonlinear optics has been of increased interest for all-optical signal, data and image processing in high speed photonic networks. The application of multi-valued (nonbinary) digital signals can provide considerable relief in transmission, storage and processing of a large amount of information in digital signal processing. Here, we propose the design of an all-optical system for some basic tri-state logic operations (trinary OR, trinary AND, trinary XOR, Inverter, Truth detector, False detector) which exploits the polarization properties of light. Nonlinear material based optical switch can play an important role. Tri-state logic can play a significant role towards carry and borrow free arithmetic operations. The principles and possibilities of the design of nonlinear material based tri-state logic circuits are proposed and described.


Author(s):  
Ismail Shayeb ◽  
Naseem Asad ◽  
Ziad Alqadi ◽  
Qazem Jaber

Human speech digital signals are famous and important digital types, they are used in many vital applications which require a high speed processing, so creating a speech signal features is a needed issue. In this research paper we will study more widely used methods of features extraction, we will implement them, and the obtained experimental results will be compared, efficiency parameters such as extraction time and throughput will be obtained and a speedup of each method will be calculated. Speech signal histogram will be used to improve some methods efficiency.


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