On gradient adaptation with unit-norm constraints

Scott C. Douglas; Shun Ichi Amari; S. Y. Kung

doi:10.1109/78.845952

On gradient adaptation with unit-norm constraints

Scott C. Douglas, Shun Ichi Amari, S. Y. Kung

Research output: Contribution to journal › Article › peer-review

51 Scopus citations

Abstract

In this correspondence, we describe gradient-based adaptive algorithms within parameter spaces that are specified by ∥w∥ = 1, where ∥·∥ is any vector norm. We provide several algorithm forms and relate them to true gradient procedures via their geometric structures. We also give algorithms that mitigate an inherent numerical instability for L₂-norm-constrained optimization tasks. Simulations showing the performance of the techniques for independent component analysis are provided.

Original language	English (US)
Pages (from-to)	1843-1847
Number of pages	5
Journal	IEEE Transactions on Signal Processing
Volume	48
Issue number	6
DOIs	https://doi.org/10.1109/78.845952
State	Published - 2000
Externally published	Yes

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering

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10.1109/78.845952

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On gradient adaptation with unit-norm constraints

Abstract

All Science Journal Classification (ASJC) codes

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