Comment, with reply, on 'Using spread-spectrum in a high-capacity fibre optic local network' by G.J. Foschini and G. Vannucci

1989 ◽  
Vol 7 (4) ◽  
pp. 747 ◽  
Author(s):  
D.A. Chapman
Keyword(s):  
Spread Spectrum ◽  
High Capacity ◽  
Local Network ◽  
Fibre Optic

Using spread-spectrum in a high-capacity fiber-optic local network

1988 ◽  
Vol 6 (3) ◽  
pp. 370-379 ◽  
Author(s):  
G.J. Foschini ◽  
G. Vannucci
Keyword(s):  
Spread Spectrum ◽  
Fiber Optic ◽  
High Capacity ◽  
Local Network

Design issues for a fibre optic local network

1982 ◽  
Vol 5 (2) ◽  
pp. 65-72 ◽  
Author(s):  
G De Grandi ◽  
GP Rossi
Keyword(s):  
Local Network ◽  
Fibre Optic ◽  
Design Issues

High-capacity broadcasting over an optical local network

1991 ◽  
Author(s):  
A. M. Hill ◽  
D. B. Payne ◽  
R. Wyatt ◽  
J. F. Massicott ◽  
K. J. Blyth ◽  
...  
Keyword(s):  
High Capacity ◽  
Local Network

scholarly journals Perceptual Data Embedding in Audio and Speech Signals

2021 ◽  
Author(s):  
Libo Zhang
Keyword(s):  
Spread Spectrum ◽  
Forward Error Correction ◽  
Turbo Code ◽  
High Capacity ◽  
Speech Signals ◽  
Data Embedding ◽  
Forward Error ◽  
Embedding Rate ◽  
Host Signal ◽  
Conventional Scheme

Perceptual embedding is a technique to embed extra information into multimedia signals without fidelity degradation, which is the core of many applications including watermarking and data hiding. Perceptual embedding can be viewed as a telecommunication to transmit the embedded information over the medium consisting of the host signal. This observation divides the current embedding techniques into two categories, i.e. the host-suppressing ones like the quantization-based Quantization Index Modulation (QIM) and Scalar Costa Scheme (SCS), and the non host-suppressing ones like the conventional Spread Spectrum (SS) technique. The former class has significant advantages over the latter in robustness and data rate due to significantly reduced noise levels. In this research, the conventional SS embedding technique is modified such that it can suppress the host impact mostly. Both the theoretical analysis and simulations show that the modification significantly improve the performance of the conventional scheme and further, outperform the QIM and SCS under the case of watermarking where the attacks can be expected to be very strong. To further increase the robustness and embedding rate, measures like frequency masking effects of the Human Masking Auditory system and Forward Error Correction schemes are employed, such as Turbo code. The second part of this research explores the possibility of high-capacity embedding in telephony speech signals. Another modification to improve the embedding rate is proposed for the conventional SS scheme under weak attacks, which are expected for the case of data embedding.

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