Nonlinear signal estimation using kernel wiener filter in canonical correlation analysis framework

Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet

Volumn 1, Issue , 2005, Pages 1095-1100

  Yamada, Makoto ^a   Azimi Sadjadi, Mahmood R ^b  

^a HITACHI LTD   (Japan)

^b Engineering Research Center and Hydraulics Laboratory   (United States)

Author keywords

Canonical correlation analysis; Kernel wiener filter; Nonlinear signal estimation

Indexed keywords

COMPUTER SIMULATION; CORRELATION THEORY; DATA REDUCTION; OPTIMIZATION; PROBLEM SOLVING;

CANONICAL CORRELATION ANALYSIS (CCA); KERNEL HILBERT SPACES; KERNEL WIENER FILTERS; NONLINEAR SIGNAL ESTIMATION;

SIGNAL FILTERING AND PREDICTION;

EID: 33847227707     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. M. Yamada and M R. Azimi-Sadjadi, "Kernel Wiener Filter using Canonical Correlation Analysis Framework," Proc. IEEE Workshop on Statistical Signal Processing (SSP'05), Bordeaux, France, July 2005.
2. B. Schölkopf and A. J. Smola, Learning with Kernels, Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, 2002.
3. A. Pezeshki, M. R. Azimi-Sadjadi, and L. L. Scharf, "Kernel-based canonical coordinate decomposition of two-channel nonlinear maps," Proc. of IEEE Inter. Joint Conf. on Neural Networks (IJCNN2004), pp. 3019-3024, July 2004.
4. M. Fashing and C. Tomasi, "Mean shift is a Bound Optimization", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 27, No.3, March 2005
5. I. Constantin, C. Richard, R. Lengelle, and L. Soufflet, "Regularized kerel-based Wiener filtering. Application to Magnetoencephalographic signals denoising," Proc. of IEEE Inter. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), vol. 4, pp. 289 - 292, March 2005.