Subspace-constrained partial update methods for reduced-complexity signal estimation, parameter estimation, or data dimensionality reduction
OwnerBrian G. Ageeinventor
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Abstract
An adaptive processor implements partial updates when it adjusts weights to optimize adaptation criteria in signal estimation, parameter estimation, or data dimensionality reduction algorithms. The adaptive processor designates some of the weights to be update weights and the other weights to be held weights. Unconstrained updates are performed on the update weights, whereas updates to the set of held weights are performed within a reduced-dimensionality subspace. Updates to the held weights and the update weights employ adapt-path operations for tuning the adaptive processor to process signal data during or after tuning.
Claims23
A method of implementing partial updates in an adaptive processor that adjusts weights to optimize an adaptation criterion in a signal estimation or parameter estimation algorithm, the method comprising:
- selecting, from a set of weights, a set of update weights and a set of held weights;
- performing unconstrained updates to the set of update weights;
- and
- performing updates to the set of held weights within a reduced-dimensionality subspace, wherein performing updates to the set of held weights and performing unconstrained updates to the set of update weights uses adapt-path operations for tuning the adaptive processor to process signal data during or after tuning.
A non-transitory computer-readable medium having computer readable program code stored thereon, the computer readable program code being executable by at least one adaptive processor for:
- selecting, from a set of weights, a set of update weights and a set of held weights;
- performing unconstrained updates to the set of update weights;
- and
- performing updates to the set of held weights within a reduced-dimensionality subspace, wherein performing updates to the set of held weights and performing unconstrained updates to the set of update weights uses adapt-path operations for tuning the adaptive processor to process signal data during or after tuning.
Dependencies are inferred from the claim text.