spacer

spc
spc
spc
Professor Trevor Clarkson
spc
spc
spc

Email: t.g.clarkson@ieee.org

Home
iee & ieee
pRAM256

Publications

1989

  • Clarkson T G, Benchmark results of the frequency-hopping sequence algorithm, Internal report, 1989
  • Clarkson T G, Safety aspects in the use of infrared detection systems, International Journal of Electronics, 666, 929/934, 1989
  • Taylor J G, Clarkson T G & (Gorse D), Hardware realisable models of neural processing, In: Proceedings of IEE International Conference on Artificial Neural Networks, London, 242-246, 1989

1990-1994

  • Clarkson T G & Rahman S, A modular-based parallel image processing system, In: Proceedings of IEEE TENCON'90 Conference, Hong Kong, 930-933, 1990
  • Clarkson T G & Rahman S, A parallel image processing system - based on a reconfigurable modular structure, In: IEEE ICCS'90 Conference, Singapore, 356/360, 1990
  • Tsui T S D & Clarkson T G, A 32-bit RISC processor board for a frequency-hopping radio, In: IEEE TENCON'90 Conference, Hong Kong 357/361, 1990
  • Tsui T S D, Zein N F & Clarkson T G, Design of raised-cosine and matched filters for a fast frequency-hopping system, In: IEEE Spread Spectrum Techniques Symposium, Kings College London, 36/41, 1990
  • Tsui T S D & Clarkson T G, Digital filter design for frequency-hopping receivers, In: Proceedings of IEEE 33rd Midwest Symposium, Calgary, 441-444, 1990
  • Tsui T S D & Clarkson T G, Digital filter design for spread-spectrum receivers, In: Proceedings of IEEE TENCON'90 Conference, Hong Kong, 186/189, 1990
  • Clarkson T G, Frequency-hopping radio filter design using the DSP16 processor. Electronics Letters, 26, No 9, 586/587, 1990
  • Zein N F, Tsui T S D & Clarkson T G, Implementation of raised-cosine and matched filters for serial acquisition in a fast freqency-hopping system, In: IEEE ICCS'90 Conference, Singapore, 576/580, 1990
  • Clarkson T G, (Gorse D) & Taylor J G, pRAM automata, In: IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA'90), Budapest, 235-243, 1990
  • Rahman S & Clarkson T G, Parallel Image Processing System - a Modular Architecture using Dedicated Image Processing Modules and a Graphics Processor, IEEE TENCON '90 Conference, Hong Kong. 319-323, 1990
  • Zein N F, Chambers W G & Clarkson T G, Use of a matched filter for serial acquisition in a fast frequency-hopping system, In: IEE MILCOM'90 Conference, Monterey CA, 551/555, 1990
  • Clarkson T G, A hybrid serial/parallel architecture for learning RAM-based neural networks, In: 2nd International Conference on Microelectronics for Neural Networks, Munich, 183-191, 1991
  • Clarkson T G, Available processor devices. In: Digital Systems Reference Book - Chapter 2.10, Butterworth-Heinemann, 1991
  • Clarkson T G, Graphics processors. In: Digital Systems Reference Book (Chapter 5.5), Butterworth-Heinemann, Oxford, 1991
  • Clarkson T G, Parallel processing of digital images using a modular architecture, In: IEE Conference on Digital Signal Processing in Communications, Loughborough, 99/105, 1991
  • Clarkson T G, (Gorse D) & Taylor J G, Biologically plausible learning in hardware realisable nets, In: IEEE ICANN '91 Conference, Helsinki, 195/199, 1991
  • Clarkson T G, (Gorse D), Guan Y & Taylor J G, Applications of the pRAM, In: Proceedings of IJCNN '91, Singapore, 2618-2623, 1991
  • Clarkson T G, Ng C K, (Gorse D) & Taylor J G, A serial update VLSI architecture for the learning probabilistic RAM neuron, In: IEEE ICANN '91 Conference, Helsinki, 1573-1576, 1991
  • Ng C K & Clarkson T G, A probabilistic RAM controller with local reinforcement learning, In: IJCNN '91 Conference, Singapore, 1891-1897, 1991
  • Ali M, (Gennert M A) & Clarkson T G, Analysis, generation and compression of pavement distress images using fractals. In: BCS Conference - The Applications of Fractals and Chaos, London Feb 19-20, 1992
  • Ali M, Papadopoulos C A & Clarkson T G, The Use of Fractal Theory in a Video Compression System. 259-268. In: Proc. IEEE Data Compression Conference (DCC92), Snowbird Utah, IEEE Computer Society Press, 1992
  • Christodoulou C A, Taylor J G, Clarkson T G & (Gorse D), The noisy-leaky integrator model implemented using pRAMs, In: IJCNN '92, Baltimore, I-178/183, 1992
  • Guan Y, Clarkson T G, (Gorse D) & Taylor J G, The application of noisy reward/penalty learning to pyramidal pRAM neurons, In: IJCNN'92, Conference, Baltimore, III-660/665, 1992
  • Papadopoulos C A & Clarkson T G, Using an image resampling sequencer in a video compression system, In: ICC '92 Conference, Chicago, 320B.1.1, 1992
  • Christodoulou C A, Taylor J G, Clarkson T G & Bugmann G, A temporal noisy-leaky integrator neuron constructed using pRAMS, In: ICANN '92, Brighton, 1475-1478, 1992
  • Clarkson T G, Graphics processors, In: Mechanical Engineer's Reference Book, 12th edition, Butterworth-Heinemann, Oxford, 1992, 1993, 1994, 1995, 1998, 1999, 2000.
  • Clarkson T G, The pRAM as a hardware-realisable neuron, In: Neural Network Applications, ed J G Taylor, Springer-Verlag, 140-146, 1992
  • Clarkson T G, Ng C K, (Gorse D) & Taylor J G, Learning Probabilistic RAM Nets Using VLSI Structures. IEEE Transactions on Computers, 41, No 12, 1552-1561, 1992
  • Clarkson T G, Taylor J G & (Gorse D), From Wetware to Hardware; Reverse Engineering using Probabilistic RAMs. Special Issue: Recent Advances in Neural Nets, Journal of Intelligent Systems, 2, 11-30, 1992
  • Christodoulou C A, Bugmann G, Taylor J G & Clarkson T G, An extension of the temporal noisy-leaky integrator neuron and its potential applications, In: IJCNN '92 Conference, Beijing, III-165/170, 1992
  • Guan Y, Clarkson T G & Taylor J G, A noisy training method for digit recognition using pRAM neural networks, In: IJCNN '92 Conference, Beijing, I-673/678, 1992
  • Guan Y, Clarkson T G, Taylor J G & (Gorse D), The use of encoded outputs and reinforcement training in pRAM nets, In: ICANN '92 Brighton, 653-656, 1992
  • Papadopoulos C A & Clarkson T G, Data compression of moving images using geometric transformations, In: IEE Image Processing and its Applications Conference, Maastricht, pp101 -104, 1992
  • Rahman S & Clarkson T G, A low-level image processing for machine vision, In: IEE Image Processing and its Applications Conference, Maastricht, pp 25 -28, 1992
  • Papadopoulos C A & Clarkson T G, Motion compensation using 2nd order geometric transformations, Electronics Letters, 28, No 25, 2314-2315, 1992
  • Zein N F & Clarkson T G, "Reduction of the near-far effect in a fast-frequency-hopping receiver", IEE Colloquium on Spread Spectrum Techniques for Radio Communication Systems, 8/1 -8/5, 1992
  • Zein N F, Clarkson T G & Tsie K Y, Performance comparison of various M-ary modulation schemes for a frequency-hopping system over fading channels, In: IEE Colloquium on Advanced Modulation and Channel Coding Techniques for Mobile and Personal Communications, 10/1 - 10/4, 1992
  • Zein N F, Clarkson T G, Tsui T S D & (Harris R M), DSP Design for a fast frequency-hopping Radio. Int. Symp. on DSP for Communication Systems, Coventry, 1992
  • (Gorse D), Taylor J G & Clarkson T G, Learning real-valued functions using a hardware-implementable stochastic reinforcement algorithm, In: WCNN'93, Portland, Oregon, 11-15 July 1993
  • Ali M, (Gennert M A) & Clarkson T G, Analysis generation and compression of pavement distress images using fractals, In: Applications of Fractals and Chaos, ed Crilly, Earnshaw and Jones, Springer-Verlag, Berlin, 1993
  • Christodoulou C A, Bugmann G, Clarkson T G & Taylor J G, The temporal noisy leaky integrator neuron model, In: Proceedings of BNNS Meeting, Birmingham, 1993
  • Christodoulou C A, Bugmann G, Clarkson T G & Taylor J G, The temporal noisy-leaky integrator neuron with additional inhibitory inputs, In: New Trends in Neural Computation, ed Mira, Cabestany and Prieto, Springer-Verlag, 465-470, 1993
  • Clarkson T G & Ng C K, Architectures for self-learning neural network modules, In: New Trends in Neural Computation, ed Mira, Cabestany and Prieto, Springer-Verlag, 471-475, 1993
  • Clarkson T G & Ng C K, Multiple learning configurations using 4th generation pRAM modules, In: MicroNeuro 1993, Edinburgh, 233-239, 1993
  • Clarkson T G, Guan Y, (Gorse D) & Taylor J G, Generalisation in probabilistic RAM nets, IEEE Transactions on Neural Networks, Vol 4, No 2, 360-364, 1993
  • Clarkson T G, Ng C K & Bean J, Review of hardware pRAMS. 18-23. In: Proceedings of WNNW'93 Workshop, York, April 1993, 1993
  • Clarkson T G, Ng C K & Bean J, Review of hardware pRAMS. Neural Network World, No 5, 551-564, 1993
  • Clarkson T G, Ng C K & Guan Y, The pRAM: an adaptive VLSI chip. IEEE Transactions on Neural Networks, Special Issue on Neural Network Hardware, Vol 4, No 3, 408-412, 1993
  • Guan Y & Clarkson T G, Aspects of pRAM training in noise, In: Proceedings of WNNW'93 Workshop, York, 111-116, 1993
  • Guan Y, Clarkson T G, Taylor J G & (Gorse D), A stochastic reverse interpolitan algorithm for real-valued function learning. In: 3rd International Conference on Artifical Neural Networks, Brighton, 1993
  • Guan Y, Clarkson T G, Taylor J G & (Gorse D), Optimal attractor distributions and generalisation in feed-forward pRAM nets, In: BNNS Meeting, Birmingham, 1993
  • Papadopoulos C A & Clarkson T G, The use of 2nd order geometric transformations for motion compensation in interframe image data compression, In: Proceedings of IEEE Globecom '93 Conference, Houston, 1309-1313, 1993
  • Zein N F & Clarkson T G, Optimum erasure threshold in Reed-Solomon coded differential 16 star-QAM modulation, Electronics Letters, 29, No 20, 1746-1748, 1993
  • (Gorse D), Taylor J G & Clarkson T G, A pulse-based reinforcement algorithm for learning continuous functions, In: WCNN'94, San Diego, 1994
  • (Gorse D), Taylor J G & Clarkson T G, Extended functionality for probabilistic RAM neurons, In: Proceedings of ICANN'94, 705-708, 1994
  • (Gorse D), Taylor J G & Clarkson T G, Temporal difference learning using a pulse-based reinforcement training algorithm. In: Proc. ICONIP'94, Seoul, 1994
  • Ali M & Clarkson T G, Using linear fractal interpolation functions to compress static and motion images, In: Proceedings of the 3rd Conference on Information Technology and its Applications, Leicester, 239-246, 1994
  • Ali M & Clarkson T G, Using linear fractal interpolation functions to compress video images, In: Proceedings of Data Compression Conference 1994, IEEE Computer Society Press, 528, 1994
  • Ali M & Clarkson T G, Using linear fractal interpolation functions to compress video images, Fractals, 2 No 3, 417-421, 1994
  • Ali M & Clarkson T G, Video image compression using fractal interpolation functions and calculation of its fractal dimension. In: Nonlinear Dynamics of Electronic Systems Workshop, NDES'94, Krakow, July 1994
  • Christodoulou C A, Clarkson T G, Bugmann G & Taylor J G, Modelling of the high firing variability of real cortical neurons with the temporal noisy leaky integrator neuron model, In: Proceedings of IEEE WCCI'94, Orlando, IV-2239/2244, 1994
  • Clarkson T G & Ng C K, A standalone hardware-based learning system, In: SSDM'94 Neurodevices and Neurochips Symposium, Yokohama, 23-26 August 1994, 352, 1994
  • Clarkson T G & Zhuang N, A vector algorithm for Reed-Muller expansions, Electronics Letters, Vol 30, No 7, 549-550, 1994
  • Tsui T S D & Clarkson T G, Spread spectrum communications techniques, IEE Electronics and Communications Journal, Vol 6, No 1, 3-12, 1994
  • El-Mousa A & Clarkson T G, Output coding in noisy-trained pRAM neural networks, In: Proceedings of ICANN'94, 1356-1359, 1994
  • El-Mousa A & Clarkson T G, The nature of the thinking process and its relationship to consciousness with regard to applications of artifical neural networks, In: Proceedings of the 3rd Conference on Information Technology and its Applications, Leicester, 72-78, 1994
  • Guan Y, Clarkson T G, (Gorse D) & Taylor J G, Noisy reinforcement training for pRAM nets, Neural Networks, 7, 523-538, 1994
  • Ramanan S, Petersen R S, Clarkson T G & Taylor J G, Adaptive learning rate for training pyramidal pRAM nets, In: Proceedings of ICANN'94, 1360-1363, 1994
  • Zein N F & Clarkson T G, Performance of pilot symbol-assisted modulation for a Reed-Solomon coded frequency hopped system, In: Proc ICT '94, Dubai, 229-232, 1994

1995-1999

  • Ali M, Meng X, Clarkson T G, Taylor J G, Using fractal interpolation encoded ultrasonic signals to train a neural network, IEE Colloquium "Fractals in signal and image processing", 5/1 - 5/3, Jan 1995
  • Clarkson T G and Ng C K, A standalone hardware-based learning system, Japanese Journal of Applied Physics, Vol 34, Part 1, No.2B (Feb), 1050-1055, 1995
  • Clarkson T G, Hardware realisable neural networks, In: Neural Networks, ed. J G Taylor, Alfred Waller (London), 353-366, 1995.
  • Y Guan, T G Clarkson and J G Taylor, Learning transformed prototypes (LTP) - a statistical pattern classification technique of neural networks, From Natural to Artificial Neural Computation, Eds. Mira and Sandoval, Springer-Verlag, 441-447, 1995.
  • C Christodoulou and T G Clarkson, A review on the stochastic firing behaviour of real neurons and how it can be modelled, From Natural to Artificial Neural Computation, Eds. Mira and Sandoval, Springer-Verlag, 223-230, 1995.
  • Y Ding, Y Guan, T G Clarkson and R P Clark, The Back Thermal Symmetry Identification by pRAM Neural Networks, Proc. ANN'95, IEE 4th International Conference on Artificial Neural Networks, Cambridge, 437-441, 1995.
  • A H El Mousa and T G Clarkson, An improved hardware-realisable learning algorithm for pyramidal feed-forward pRAM-based ANNs, Proc. ANN'95, IEE 4th International Conference on Artificial Neural Networks, Cambridge, 495-498, 1995.
  • C Christodoulou and T G Clarkson, Postsynaptic delay training for temporal pattern detection and recognition using Hebbian learning, Proc. DSP95, Cyprus, 415-420, 1995.
  • Y Guan, T G Clarkson, X Meng, J G Taylor, Function learning with stochastic spike train input: weight compensation by learning rate adjustment, Proc. WCCN'95, Washington DC, III 234-237, 1995.
  • C Christodoulou, T G Clarkson, J G Taylor, Temporal pattern detection and recognition using the temporal noisy leaky integrator neuron model with the postsynaptic delays trained using Hebbian learning, Proc. WCCN'95, Washington DC, III 34-37, 1995.
  • I-S Han and T G Clarkson, Neural hardware realised with neural VLSI URAN, Proc. WCNN'95, Washington DC, II 500-503, 1995.
  • X Krasniqi, T Glätte, T G Clarkson, The performance of a shared multibuffer switch, Proc. Second Communication Networks Symposium, Manchester, 158-162, 1995.
  • Papadopoulos C A and Clarkson T G, Motion compensation using 2nd order geometric transformations. IEEE Trans on Ccts and Syst for Video Technology Vol 5, No 4, 319-331, 1995
  • Y Ding and T G Clarkson, "Extracting the directional image of fingerprints by a neural algorithm", WNNW'95 Canterbury, 52-56, Sept 1995.
  • M D Plumbley, J Hobday, B Schuermann, T G Clarkson, "Industrial Activity within NEuroNet", Proc. ICANN'95 Paris, Vol 2, 387-392, EC2 et Cie., Oct 1995
  • T G Clarkson, Automatic Target Recognition using Neural Networks, Neural Network World, Vol 5, No 6, 861-871, 1995.
  • Ramanan S, Petersen R, Clarkson T G and Taylor J G, pRAM nets for detection of small targets in sequences of infra-red images", Neural Networks Vol 8, No 7/8, 1227-1237, 1995.
  • X Krasniqi, G Onyiagha, T G Clarkson, "Efficient multibuffer approach to ATM switch performance", Thirteenth UK Teletraffic Symposium, 18-20 March, Glasgow, 26/1 to 26/7, 1996.
  • T G Clarkson, "Introduction to neural networks", Neural Network World, Vol 6, No 2, 123-130, 1996.
  • Y Ding, T G Clarkson, "Fingerprint recognition by pRAM neural networks", Neural Network World, Vol 6, No 4, 535-543, 1966.
  • A H El-Mousa, T G Clarkson, "Multi-configurable pRAM-based neurocomputer", Neural Network World, Vol 6, No 4, 587-596, 1996.
  • T G Clarkson, "Neural Networks in VLSI Hardware", in Neural Networks and their Applications, ed. J G Taylor, Wiley, 245-253, 1996.
  • C Christodoulou, T G Clarkson and J G Taylor, "Speaker identification using pRAM neural networks", Proc. EANN'96, 17-19 June, London, 265-268, 1996.
  • G Onyiagha, X Krasniqi and T G Clarkson, "Probabilistic RAM neural networks in ATM traffic shaping and policing", Proc. EANN'96, 17-19 June, London, 229-232, 1996.
  • X Krasniqi, G Onyiagha, W Danieluk and T G Clarkson, "Head of Line Control and the Impact of pRAM on ATM Switch Design", 4th IFIP Workshop on Performance Modelling & Evaluation of ATM Networks, Ilkley, UK, 8 - 10th July, 47/1 - 47/8, 1996.
  • G Onyiagha, X Krasniqi, T G Clarkson, "Adaptive Access Control of ATM Traffic Using Neural Networks", IEEE Global Communications Conference, London, 201-205, 1996.
  • "Performance of a coherent FH system with soft-decision Reed-Solomon decoding and space diversity over Rayleigh fading channel and in the presence of co-channel interference", Zein, N F, Clarkson T G, PIMRC'96, 761 -765, 1996.
  • N F Zein, T G Clarkson, "High-level Modulation with Reed-Solomon codes and Slow Frequency Hopping For Land Mobile Communications", IEEE Global Communications Conference, London, 1840-1844, 1996.
  • T G Clarkson and C G Onyiagha, "From Neuronal Stochasticity to Intelligent Resource Management of Packet Data Networks", IEE 5th International Artifical Neural Networks Conference, Cambridge, 7-9 July 1997.
  • B Apolloni, D de Falco, S Iamundo, G Biella, T G Clarkson and J G Taylor, "Hardware decoding of thalamo-cortical reactions to sensory stimuli through a pRAM neural network", Proceedings, DSP 97, 13th International Conference on Neural Networks, Santorini , 249 -253, 1997
  • M Oldfield, C I Underwood, T G Clarkson, "Spacecraft Autonomy Via Probabilistic RAM (pRAM) Artificial Neural Networks", Proceedings of the 12th AMSAT-UK Colloquium 1997, University of Surrey, 102-110, 25-27 July 1997.
  • T G Clarkson and Y Ding, "Extracting directional information for the recognition of fingerprints by pRAM networks", in RAM-Based Neural Networks (Ed. J Austin), World Scientific, 174-185, 1998.
  • B Appoloni, D de Falco, S Iamundo, G Biella, M L Sotgiu, T G Clarkson, J G Taylor, "Correlation collapse under persistent input derangement in the nervous system. Fitting pRAM models for thalamocortical circuits", Proc WIRN 98, 103-112, ISBN 1-85233-051-1 Springer Verlag.
  • P L Panteli, I Balaskas, T G Clarkson, "Adaptive ATM network model for the evaluation of network performance", Proc. ICC'98, Atlanta, 238-242, May 1998.
  • S Ramanan, T G Clarkson & J G Taylor, "An adaptive algorithm for training pRAM neural networks on unbalanced data sets", Electronics Letters, Vol 34, No 13, 1335-1336, June 1998.
  • X Krasniqi, G Onyiagha, T G Clarkson, "Performance evaluation of a distributed ATM switch architecture", International Network Conference (INC'98), Plymouth, 6-9 July 1998.
  • Insung Jun, Pantelis L Panteli, Trevor G Clarkson, "Simulation Analysis with a Measurement based Connection Admission Control on a European ATM Network", 6th IFIP workshop on performance modelling and evaluation of ATM networks (ATM'98), Bradford, July 1998.
  • G Onyiagha, X Krasniqi, T G Clarkson, "OpLIAC - Open-loop intelligent access control for interworking LAN and ATM networks", 6th IFIP workshop on performance modelling and evaluation of ATM networks (ATM'98), Bradford, July 1998.
  • F Balestrieri, P L Panteli, T G Clarkson, V Dionissopoulos, "ATM connection admission control using pRAM-based artificial neural networks", 6th IFIP workshop on performance modelling and evaluation of ATM networks (ATM'98), Bradford, July 1998.
  • G Onyiagha, F Balestrieri, X Krasniqi, T G Clarkson, "Optimal quality of service guarantees for noisy packet data networks", IEEE Globecom'98, Sydney, Australia, 13-18, Nov 1998.
  • T G Clarkson, "Applications of Neural Networks In Telecommunication", (invited talk) in Proc. ERUDIT Workshop on Applications of Computational Intelligence Techniques in Telecommunication, London, 3 - 15, April 1999.

2000-

  • F Balestrieri, P L Panteli, T G Clarkson, V Dionissopoulos, "ATM Connection Admission Control Using pRAM Based Artificial Neural Networks, Computer Networks, The International Journal of Computer and Telecommunications Networking, Elsevier-North Holland, 34 (1) (2000) pp. 49-63.
  • Christodoulou, C, Clarkson, T G, Bugmann, G and Taylor, J G , "Analysis of Fluctuation-Induced firing in the presence of inhibition". Proc Int Joint Conf on Neural Networks 2000 (IJCNN'2000), Como, Italy, IEEE Computer Society Press, Vol. III, pp. 115-120.
  • Nawaz Khan, Shahedur Rahman, Trevor G. Clarkson: An Approach to Develop Human Gene Disorder Database for Intelligent Variance Analysis of Genes and its Products. DEXA Workshop 2001: 301-305.
  • T G Clarkson, C Christodoulou, Y Guan, D Gorse, D Romano-Critchley & J G Taylor, "Speaker Identification for Security Systems Using Reinforcement-trained pRAM Neural Network Architectures", IEEE Trans on SMC, Part C. Volume 31, No 1, Feb 2001, pp. 65-76.
  • T G Clarkson, "pRAM: the probabilistic RAM neural processor", in Hardware Implementation of Intelligent Systems, ed. Teodorescu, Jain & Kandel, Springer-Verlag, 3-7908-1399-0, 2001, pp 219-241.
  • Chris Christodoulou, Guido Bugmann and Trevor G Clarkson, "A Spiking Neuron Model: Applications and Learning", Neural Networks, 15, 891-908, 2002.
  • T G Clarkson, "Technical Research at the UK Radiocommunications Agency", COST 280 1st International Workshop, Malvern UK, July 2002.
  • T G Clarkson, "Spectrum Efficiency", IEE Review, May 2003.
  • T G Clarkson, "The spectrum foresight activities in the UK", in Advanced wireless technologies: Implications for spectrum management, IST Workshop, EC DG INFSO-D, 10 October 2003. Also at
    http://www.cordis.lu/ist/directorate_d/cnt/pubar/wshop/wshop_101003.htm
  • M. Biggs, A. Henley, and T. Clarkson, "Occupancy analysis of the 2.4 GHz ISM band", IEE Proc., Commun. 151, 481, 2004.
  • T G Clarkson, "Communications Regulation: regulatory issues arising from the development of software radio", in Proc International Software Radio, 7-8 June 2004, London, Smi Conferences
  • George Tsirakakis, Trevor Clarkson, "Simulation Tools for Multilayer Fault Restoration", Journal of Internet Technology, Vol 10, No 1, pp 73-78, 2009
  • George Tsirakakis, Trevor Clarkson, "Simulation Methodology for Multilayer Fault Restoration", IEEE Communications Magazine, Vol.47, No.3, pp128-134, March 2009
  • T G Clarkson, "Where next for cognitive radio?", Keynote address at IET International Conference on Communication Technology and Application, Beijing, October 2011

Valid HTML 4.01 Transitional