Design of extrapolated impulse response FIR filters with residual compensation in subexpression space
In this paper, an extrapolated impulse response filter with residual compensation is proposed for the design of discrete coefficient finite-impulse response (FIR) filters using subexpression sharing. The proposed technique utilizes the quasi-periodic...
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Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2010
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/91422 http://hdl.handle.net/10220/6229 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | In this paper, an extrapolated impulse response filter
with residual compensation is proposed for the design of discrete
coefficient finite-impulse response (FIR) filters using subexpression
sharing. The proposed technique utilizes the quasi-periodic
nature of the filter impulse response to approximate the filter coefficients.
The reduced degree of freedom of filter coefficients due
to the quasi-periodic approximation is perfectly restored by introducing
a residual compensation technique. The resulting subexpression
sharing synthesis of discrete coefficient FIR filters has
lower complexities than that of the conventional synthesis techniques
in terms of number of adders. To further reduce the synthesis
complexity, filter coefficients and residuals may be optimized
in subexpression spaces. Mixed integer linear programming is formulated
for the optimization. Numerical examples show that the
number of adders required by synthesizing the filters in the proposed
structure is significantly reduced compared to that of the
conventional synthesis schemes synthesized in direct or transposed
direct form. |
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