• Information and Communications Magazine
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• v.10 no.1
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• pp.16-24
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• 1993

• The Magazine of the IEIE
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• v.20 no.11
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• pp.61-68
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• 1993

• Fire Protection Technology
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• s.44
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• pp.13-24
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• 2008

• Fire Protection Technology
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• s.44
• /
• pp.30-43
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• 2008

• Fire Protection Technology
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• s.55
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• pp.41-45
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• 2013

• Fire Protection Technology
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• s.54
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• pp.25-31
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• 2013

• Journal of KSNVE
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• v.18 no.3
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• pp.4-10
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• 2008

• Bulletin of the Society of Naval Architects of Korea
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• v.39 no.2
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• pp.83-89
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• 2002

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.12
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• pp.1451-1464
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• 1992

In recent high-speed data moderns for use over PSTN or leased line, the data compression technique based on CCITT V.42bis Recommendation is of popular use along sith CCITT V.42 error control function. A remaining concern to advanced-application users is the protection against unintended eavesdropping. This paper proposes the architectural model on how the security mechanism should be adopted into the above mentioned error-correction/data compression moderns. Also, the functional definitions and the operational procedures are described in detail for possible implementation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.18-24
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• 2017

The process of transmitting messages through a medium with a limited bandwidth or channel dispersion inevitably involves signal distortion and noise influxes, resulting in the degradation of transmission quality due to the inter-symbol interference and additional noise, which increases the error rate of the received symbols. The main role of the equalizer is to remove the channel distortion and noise from the received signal to recover the transmitted messages. A number of studies on the equalizer composed of a combination of linear filter and error control coding have shown that they played a key role in enhancing the transmission efficiency, which is essential for digital communication. This paper proposes a new algorithm to correct the residual symbol errors in the message signal. In general, equalizer performance improvement algorithms were developed to improve the initial convergence speed or steady-state error. In this paper, however, the equalizer input signal was reconstructed using the equalizer decision symbols and the channel estimates to directly correct the decision errors by analyzing the statistical characteristics of the difference signal between the actual received signal and the reconstructed signal.