**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**31097

##### A Compact Pi Network for Reducing Bit Error Rate in Dispersive FIR Channel Noise Model

**Authors:**
Kavita Burse,
R.N. Yadav,
S.C. Shrivastava,
Vishnu Pratap Singh Kirar

**Abstract:**

**Keywords:**
Additive White Gaussian Noise,
digitalcommunication system,
multiplicative neuron,
Pi neural network

**Digital Object Identifier (DOI):**
doi.org/10.5281/zenodo.1078937

**References:**

[1] 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.

[2] 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.

[3] 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.

[4] C.L Giles and T. Maxwell," Learning, invariance and generalization in high-order neural networks," Applied Optics, vol. 26(23), pp. 4972- 4978, 1987.

[5] M. Schmitt," On the complexity of computing and learning with multiplicative neurons," Neural Computing, vol. 14(2), pp. 241-301, 2002.

[6] 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.

[7] 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.