| Title |
Hyperspherical Parametrization for Unit-Norm Based Adaptive IIR Filtering |
| Author(s) |
S. G. Sankaran and A. A. (Louis) Beex |
| Document Type |
Journal Article |
| Journal |
IEEE Signal Processing Letters
volume 6, issue, 12, pp. 318 - 320, December 1999. |
| Publication Information |
Volume 4, Pages 1837 - 1840 |
| Publication Date |
December 1999 |
| Document Download |
Available
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| Abstract |
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The bias problem associated with equation error based adaptive infinite impulse response (IIR) filtering can be surmounted by imposing a unit-norm constraint on the autoregressive (AR) coefficients. We propose a hyperspherical parameterization to convert the unit-norm-constrained optimization into an unconstrained optimization. We show that the hyperspherical parameterization does not introduce any additional minima to the equation error surface.
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| Keywords |
- IIR filters
- Adaptive IIR filtering
- Hyperspherical parametrization
- Adaptive infinite impulse response filtering
- Unit-norm constraint
- Autoregressive AR coefficients
- AR coefficients
- Unit-norm-constrained optimization
- Unconstrained optimization
- Equation error surface
- Equation error minimisation
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| Related Publications |
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| Related Project |
n/a |