Yadunandana N. Rao, Ph.D.

Affiliations: 
2004 University of Florida, Gainesville, Gainesville, FL, United States 
Area:
Electronics and Electrical Engineering
Google:
"Yadunandana Rao"
Mean distance: (not calculated yet)
 

Parents

Sign in to add mentor
Jose Carlos Principe grad student 2004 UF Gainesville
 (An augmented error criterion for linear adaptive filtering: Theory, algorithms and applications.)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Kim SP, Sanchez JC, Rao YN, et al. (2006) A comparison of optimal MIMO linear and nonlinear models for brain-machine interfaces. Journal of Neural Engineering. 3: 145-61
Hegde A, Principe JC, Erdogmus D, et al. (2006) Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis The Journal of Vlsi Signal Processing Systems For Signal, Image, and Video Technology. 45: 85-95
Erdogmus D, Jenssen R, Rao YN, et al. (2006) Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing The Journal of Vlsi Signal Processing Systems For Signal, Image, and Video Technology. 45: 67-83
Kim S, Rao YN, Erdogmus D, et al. (2005) Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization Eurasip Journal On Advances in Signal Processing. 2005
Rao Y, Erdogmus D, Principe J. (2005) Error whitening criterion for adaptive filtering: theory and algorithms Ieee Transactions On Signal Processing. 53: 1057-1069
Rao YN, Kim SP, Sanchez JC, et al. (2005) Learning mappings in brain machine interfaces with echo state networks Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. V233-V236
Rao YN, Erdogmus D, Rao GY, et al. (2005) Fast error whitening algorithms for system identification and control with noisy data Neurocomputing. 69: 158-181
Erdogmus D, Hild KE, Rao YN, et al. (2004) Minimax mutual information approach for independent component analysis. Neural Computation. 16: 1235-52
Erdogmus D, Rao YN, Peddaneni H, et al. (2004) Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation Eurasip Journal On Advances in Signal Processing. 2004
Rao YN, Principe JC, Wong TF. (2004) Fast RLS-Like Algorithm for Generalized Eigendecomposition and its Applications The Journal of Vlsi Signal Processing-Systems For Signal, Image, and Video Technology. 37: 333-344
See more...