Commenced in January 2007
Paper Count: 32451
A Compact Pi Network for Reducing Bit Error Rate in Dispersive FIR Channel Noise Model
Abstract:During signal transmission, the combined effect of the transmitter filter, the transmission medium, and additive white Gaussian noise (AWGN) are included in the channel which distort and add noise to the signal. This causes the well defined signal constellation to spread causing errors in bit detection. A compact pi neural network with minimum number of nodes is proposed. The replacement of summation at each node by multiplication results in more powerful mapping. The resultant pi network is tested on six different channels.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1078937Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1560
 J.C. Patra, R.N. Pal, R. Baliarsingh and G. Panda, "Nonlinear channel equalization for QAM signal constellation using artificial neural networks," IEEE Trans. Syst. Man Cybern. B, Cybern., vol. 29 (2), pp. 262-271,1999.
 R. N. Yadav, V. Singh and P. K. Kalra," Classification using single neuron," in Proc. IEEE Int. Conf. on Industrial Informatics, Banff, Alberta, Canada, Aug. 21-24, 2003, pp. 124-129.
 R. N. Yadav, P. K. Kalra and J. John," Time series prediction with single multiplicative neuron model," Applied soft computing, vol 7, pp 1157-1163,2007.
 C.L Giles and T. Maxwell," Learning, invariance and generalization in high-order neural networks," Applied Optics, vol. 26(23), pp. 4972- 4978, 1987.
 M. Schmitt," On the complexity of computing and learning with multiplicative neurons," Neural Computing, vol. 14(2), pp. 241-301, 2002.
 Kavita Burse, R.N. Yadav and S.C. Shrivastava," Complex Channel Equalization using Polynomial Neuron Model," in Proc. IEEE 3rd Int. Symposium on Information Technology, Kuala Lumpur, Malaysia, Aug. 26-29, 2008, pp. 771-775.
 Wan-De Weng, Che-Shih Yang, Rui-Chang Lin," A channel equalizer using reduced decision feedback Chebyshev functional link artificial neural networks," Information Sciences, vol. 177(13), pp. 2642-2654, 2007.