Yadunandana N. Rao

According to our database1, Yadunandana N. Rao authored at least 27 papers between 2002 and 2006.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2006
Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis.
J. VLSI Signal Process., 2006

Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing.
J. VLSI Signal Process., 2006

2005
Error whitening criterion for adaptive filtering: theory and algorithms.
IEEE Trans. Signal Process., 2005

Fast error whitening algorithms for system identification and control with noisy data.
Neurocomputing, 2005

Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization.
EURASIP J. Adv. Signal Process., 2005

Learning mappings in brain machine interfaces with echo state networks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Supervised training of adaptive systems with partially labeled data.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Fast RLS-Like Algorithm for Generalized Eigendecomposition and its Applications.
J. VLSI Signal Process., 2004

Minimax Mutual Information Approach for Independent Component Analysis.
Neural Comput., 2004

Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation.
EURASIP J. Adv. Signal Process., 2004

Accurate linear parameter estimation in colored noise.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Gaussianizing Transformations for ICA.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Stochastic error whitening algorithm for linear filter estimation with noisy data.
Neural Networks, 2003

Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models.
Neural Networks, 2003

Fast error whitening algorithms for system identification and control.
Proceedings of the NNSP 2003, 2003

SOM-based similarity index measure: quantifying interactions between multivariate structures.
Proceedings of the NNSP 2003, 2003

A hybrid subspace projection method for system identification.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

On the convergence of SIPEX: a simultaneous principal components extraction algorithm.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Recursive Least Squares for an Entropy Regularized MSE Cost Function.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002
Time Series Segmentation Using a Novel Adaptive Eigendecomposition Algorithm.
J. VLSI Signal Process., 2002

Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection.
EURASIP J. Adv. Signal Process., 2002

Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Efficient total least squares method for system modeling using minor component analysis.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Robust on-line Principal Component Analysis based on a fixed-point approach.
Proceedings of the IEEE International Conference on Acoustics, 2002

Simultaneous extraction of Principal Components using givens rotations and output variances.
Proceedings of the IEEE International Conference on Acoustics, 2002

An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G.
Proceedings of the 11th European Signal Processing Conference, 2002


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