Abstract—Crosstalk is a phenomenon by which signals from
one channel interfere with the signals of another. In this work,
we have investigated the applications of cross talk elimination in
interferometer, telecommunications, biomedicine, etc. to
improve the performance in these areas. This paper discusses
the various algorithms and techniques used to reduce cross talk
with their trade-offs. A novel technique is proposed based on
performance parameters of different multipliers and FFT
method for the analysis of the said algorithms. The hardware
utilization of a filter using truncated multiplier is efficient as
there is a reduction of 73.64% in hardware with respect to FFT
method while with normal cascade network multiplier the
reduction is 83.87%.
Index Terms—Adaptive filter, cross talk, fast block least
mean square algorithm, fast block least mean square algorithm
with distributed arithmetic, FFT, FIR Filter, least Mean square,
multipliers.
The authors are with the Department of Electrical, Electronics and
Communication Engineering VLSI Design at ITM University, Gurgaon,
India (e-mail: devi.sivaraman@gmail.com)
[PDF]
Cite: Devi Sivaraman and Neeraj Kr. Shukla, "Adaptive Algorithms Based Cross Talk Reduction
Techniques Using Efficient Multipliers in VerilogHDL," International Journal of Engineering and Technology vol. 6, no. 6, pp. 530-533, 2014.
