%0 Journal Article
	%A Kavita Burse and  R.N. Yadav and  S.C. Shrivastava and  Vishnu Pratap Singh Kirar
	%D 2009
	%J International Journal of Electronics and Communication Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 26, 2009
	%T A Compact Pi Network for Reducing Bit Error Rate in Dispersive FIR Channel Noise Model
	%U https://publications.waset.org/pdf/12299
	%V 26
	%X 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.
	%P 199 - 202