Proc. IEEE International
Conference on Acoustics, Speech and Signal Processing,
March 14-19, 2010,
Dallas, Texas USA.
Design of Sparse Filters for Channel Shortening
Brian L. Evans
Department of Electrical
and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712 USA
Paper Draft -
Slides (PowerPoint) -
ADSL Research at UT Austin
Channel shortening filters have been used in acoustics
to reduce reverberation, in error control decoding to reduce
complexity, and in communication systems to reduce inter-symbol
interference. The cascade of a channel and a channel
shortening filter would produce an overall impulse response
that has more of the energy in the channel impulse response
compacted into fewer adjacent samples.
Once designed, channel shortening filters operate
on a per-sample basis. In this paper, we evaluate sparse FIR
filters, which use more design complexity and less per-sample
processing complexity, for channel shortening. Our contributions
Our simulation results for ADSL channels show that sparse designs
could achieve the same energy compaction with half as many coefficients
than non-sparse FIR filters for low filter orders.
- proposing a new sparse FIR filter design method
for channel shortening, and
- evaluating design tradeoffs in energy compaction vs.
implementation complexity for sparse and non-sparse FIR filters.
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