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Browsing by Author "Shafarenko, A."
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A simple yet accurate neural branch predictor.
Hunt, S.; Egan, C.; Shafarenko, A. (ACTA Press, 2003)In this paper, we examine the application of simple neural processing elements to the problem of dynamic branch prediction in high-performance processors. A single neural network model is considered: the Perceptron. We ... -
Skewed coding for suppression of pattern-dependent errors
Shafarenko, A.; Turitsyn, K.S.; Turitsyn, S.K. (Institute of Electrical and Electronics Engineers (IEEE), 2005)We present information theory analysis of the trade-off between BER improvement and the data rate loss using skewed channel coding to suppress pattern-dependent errors. -
Symmetry-based formalism for array subtyping
Shafarenko, A. (2001) -
Teaching mathematical explanation through audiographic technology
Loomes, M.J.; Shafarenko, A.; Loomes, M. (2002) -
Teaching mathematics with audiograph
Loomes, M.C.; Shafarenko, A.; Loomes, M.J. (2002) -
Using Simple Neural Networks to Correct Errors in Optical Data Transmission.
Hunt, S.; Sun, Yi; Shafarenko, A.; Davey, N.; Boscolo, S.; Turitsyn, S.K. (De Montfort University, 2008)We have demonstrated the applicability of neural-network-based systems to the problem of reducing the effects of signal distortion, and shown that such a system has the potential to reduce the bit-error-rate in the ... -
Vintage Bit Cryptography
Christianson, B.; Shafarenko, A. (2009)We propose to use a Random High-Rate Binary (RHRB) stream for the purpose of key distribution. The idea is as follows. Assume availability of a high-rate (terabits per second) broadcaster sending random content. Members ... -
Vintage bit cryptography. (Transcript of discussion)
Shafarenko, A. (2009)This may be a highly controversial talk, because this is an area where things are periodically rediscovered. But in the process of reinventing it, I think we’ve found a few interesting protocol issues, and a few interesting ... -
Weakly-Constrained Codes for Suppression of Patterning Effects in Digital Communications
Shafarenko, A.; Skidin, A.; Turitsyn, S.K. (2010-10)We propose weakly-constrained stream and block codes with tunable pattern-dependent statistics and demonstrate that the block code capacity at large block sizes is close to the the prediction obtained from a simple Markov ... -
Word Segmentation of Handwritten Text Using Supervised Classification Techniques
Sun, Yi.; Butler, T.; Shafarenko, A.; Adams, R.G.; Loomes, M.J.; Davey, N. (2007)