Very high bit rates WDM transmission on a transparent FSO system

2007 ◽  
Author(s):  
D.M. Forin ◽  
G.M. Tosi Beleffi ◽  
N. Corsi ◽  
V. De Sanctis ◽  
V. Sacchieri ◽  
...  
Keyword(s):  
High Bit Rates ◽  
Very High ◽  
Wdm Transmission

Optical receiver module for very high bit rates

1997 ◽  
Author(s):  
Lars Erdmann ◽  
Roland Mueller-Fiedler
Keyword(s):  
Optical Receiver ◽  
Receiver Module ◽  
High Bit Rates ◽  
Very High

Introduction of very high bit rates for NFC and RFID

2013 ◽  
Vol 130 (7) ◽  
pp. 218-223 ◽  
Author(s):  
Christian Saminger ◽  
Michael Stark ◽  
Michael Gebhart ◽  
Stefan Grünberger ◽  
Josef Langer
Keyword(s):  
High Bit Rates ◽  
Very High

Adiabatic soliton transmission at very high bit rates

1995 ◽  
Vol 12 (7) ◽  
pp. 1307 ◽  
Author(s):  
K. Rottwitt ◽  
B. Hermann ◽  
J. H. Povlsen ◽  
J. N. Elgin
Keyword(s):  
Soliton Transmission ◽  
High Bit Rates ◽  
Very High

scholarly journals Combining Fractal Coding and Orthogonal Linear Transforms

2011 ◽  
Vol 2011 ◽  
pp. 1-9
Author(s):  
Michele Nappi ◽  
Daniel Riccio
Keyword(s):  
Image Processing ◽  
Image Coding ◽  
Mathematic Model ◽  
The Other ◽  
Fractal Coding ◽  
Coding Scheme ◽  
Linear Transforms ◽  
High Bit Rates ◽  
Very High ◽  
Different Levels

Many desirable properties make fractals a powerful mathematic model applied in several image processing and pattern recognition tasks: image coding, segmentation, feature extraction, and indexing, just to cite some of them. Unfortunately, they are based on a strong asymmetric scheme, consequently suffering from very high coding times. On the other side, linear transforms are quite time balanced, allowing them to be usefully exploited in realtime applications, but they do not provide comparable performances with respect to the image quality for high bit rates. In this paper, we investigate different levels of embedding orthogonal linear transforms in the fractal coding scheme. Experimental results show a clear improved quality for compression ratios up to 15 : 1.

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