A Generalised Mixed Norm Stochastic Gradient Algorithm

  title={A Generalised Mixed Norm Stochastic Gradient Algorithm},
  author={Christos Boukis and D. Mandic and A. G. Constantinides},
  journal={2007 15th International Conference on Digital Signal Processing},
A novel stochastic gradient algorithm for finite impulse response (FIR) adaptive filters, termed the least sum of exponentials (LSE), is introduced. In order to provide a generalisation of the class of weighted mixed norm algorithms and at the same time avoid problems associated with a large number of free paramaters of such algorithms, LSE is derived by minimising a sum of error exponentials. A rigourous mathematical analysis is provided, resulting in closed form expressions for the optimal… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 10 extracted citations


Publications referenced by this paper.
Showing 1-10 of 15 references

and N

  • A. K. Barros, J. Principe, Y. Takeuchi, C. H. Sales
  • Ohnishi, “An algorithm based in the even moments…
  • 2003
Highly Influential
3 Excerpts

Yiteng Huang

  • J. Benesty
  • and Jingdong Chen, “An exponentiated gradient…
  • 2007
1 Excerpt

A NormalizedMixedNormAdapitive Filtering Algorithm Robust Under Impulsive Noise Interference

  • E. V. Papoulis, C. G. Boukis
  • IEEE InternationalConference on Acoustics…
  • 2003

An algorithm based in the evenmoments of the error

  • A. K. Barros, Y. Takeuchi, C. H. Sales, N. Ohnishi
  • IEEE XIII Workshop on Neural Networks for Signal…
  • 2003

Boukis, “A Normalized Mixed-Norm Adapitive Filtering Algorithm Robust Under Impulsive Noise Interference,

  • D. P. Mandic, E. V. Papoulis, C.G
  • IEEE International Conference on Acoustics…
  • 2003
1 Excerpt

Similar Papers

Loading similar papers…