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Cost function adaptation revisited
- Source :
- 2012 IEEE 11th International Conference on Signal Processing.
- Publication Year :
- 2012
- Publisher :
- IEEE, 2012.
-
Abstract
- A variety of related stochastic gradient algorithms can be specified by modifying the minimum mean square error cost function. A part of them have been previously known as cost function adaptation algorithms, though they actually have implemented a kind of variable error exponent algorithms. Besides, the adaptive filtering literature contains many variable step-size methods. In this paper we reconsider former cost function adaptation algorithms and the goal is to integrate variable error exponent and variable step-size algorithms into a unifying framework, i.e. cost function adaptation algorithms. Finally some comments on implementation of variable error-exponents are delivered.
Details
- Database :
- OpenAIRE
- Journal :
- 2012 IEEE 11th International Conference on Signal Processing
- Accession number :
- edsair.doi...........ab401f69c81004e9302f2034e4e86ba2