Dynamic algorithm transforms for low-power reconfigurable adaptive equalizers

@article{Goel1999DynamicAT,
  title={Dynamic algorithm transforms for low-power reconfigurable adaptive equalizers},
  author={Manish Goel and Naresh R. Shanbhag},
  journal={IEEE Trans. Signal Processing},
  year={1999},
  volume={47},
  pages={2821-2832}
}
In this paper, we present low-power reconfigurable adaptive equalizers derived via dynamic algorithm transforms (DAT’s). The principle behind DAT is that conventional signal processing systems are designed for the worst case and are not energy-optimum on average. Therefore, significant energy savings can be achieved by optimally reconfiguring the hardware in these situations. Practical reconfiguration strategies for adaptive filters are presented. These strategies are derived as a solution to… CONTINUE READING
Highly Cited
This paper has 22 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 14 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 43 references

Data Communications Principles

  • R. D. Gitlin, J. F. Hayes, S. B. Weinstein
  • New York: Plenum
  • 1992
Highly Influential
3 Excerpts

The flexibility of configurable computing,

  • J. Villasenor, B. Hutchings
  • IEEE Signal Processing
  • 1998
1 Excerpt

Similar Papers

Loading similar papers…