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Y.N. Rao

Observed name: Y N Rao
ORCID: 0009-0007-0238-8837
Observed ORCID: 0009-0007-0238-8837
OpenAlex ID: A5113349896
A comparison of optimal MIMO linear and nonlinear models for brain–machine interfaces
2006 · S-P Kim, J C Sanchez, et al. · Journal of Neural Engineering · 118
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Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns
2003 · J.C. Sanchez, Sung-Phil Kim, et al. · Machine learning for signal processing ... · 63
A fast, on-line algorithm for PCA and its convergence characteristics
2002 · Y.N. Rao, J.C. Principe · Machine learning for signal processing ... · 40
Learning Mappings in Brain Machine Interfaces with Echo State Networks
2005 · Y.N. Rao, Sung-Phil Kim, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 31
An RLS type algorithm for generalized eigendecomposition
2002 · Y.N. Rao, J.C. Principe · Machine learning for signal processing ... · 28
Error whitening criterion for adaptive filtering: theory and algorithms
2005 · Y.N. Rao, D. Erdogmus, et al. · IEEE Transactions on Signal Processing · 22
Vector-quantization by density matching in the minimum Kullback-Leibler divergence sense
2005 · A. Hegde, D. Erdogmus, et al. · International Joint Conference on Neural Networks (IJCNN) · 18
Supervised Training of Adaptive Systems with Partially Labeled Data
2006 · D. Erdogmus, Y.N. Rao, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 15
Recursive principal components analysis using eigenvector matrix perturbation
2005 · H. Peddaneni, D. Erdogmus, et al. · Machine learning for signal processing ... · 13
Multivariate density estimation with optimal marginal parzen density estimation and gaussianization
2005 · D. Erdogmus, R. Jenssen, et al. · Machine learning for signal processing ... · 13
Efficient total least squares method for system modeling using minor component analysis
2003 · Y.N. Rao, J.C. Principe · Machine learning for signal processing ... · 12
A fast on-line generalized eigendecomposition algorithm for time series segmentation
2002 · Y.N. Rao, J.C. Principe · IEEE Adaptive Systems for Signal Processing, Communications, and Control Symposium (AS-SPCC) · 11
Real-time PCA (principal component analysis) implementation on DSP
2005 · Dongho Han, Y.N. Rao, et al. · International Joint Conference on Neural Networks (IJCNN) · 9
Fast error whitening algorithms for system identification and control
2004 · Y.N. Rao, D. Erdogmus, et al. · Machine learning for signal processing ... · 6
SOM-based similarity index measure: quantifying interactions between multivariate structures
2003 · A. Hegde, D. Erdogmus, et al. · Machine learning for signal processing ... · 6
Accurate linear parameter estimation in colored noise
2004 · Y.N. Rao, D. Erdogmus, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 4
A hybrid subspace projection method for system identification
2004 · S.-P. Kim, Y.N. Rao, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 4
Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLP
2004 · Sung-Phil Kim, J.C. Sanchez, et al. · International Joint Conference on Neural Networks (IJCNN) · 4
Tracking of multivariate time-variant systems based on on-line variable selection
2005 · Sung-Phil Kim, Y.N. Rao, et al. · Machine learning for signal processing ... · 3
Nonlinear independent component analysis by homomorphic transformation of the mixtures
2005 · D. Erdogmus, Y.N. Rao, et al. · International Joint Conference on Neural Networks (IJCNN) · 3
Supervised synaptic weight adaptation for a spiking neuron
2004 · B.A. Davis, D. Erdogmus, et al. · International Joint Conference on Neural Networks (IJCNN) · 2
Error whitening criterion for linear filter estimation
2004 · Y.N. Rao, D. Erdogmus, et al. · International Joint Conference on Neural Networks (IJCNN) · 2
Works count: 22
Citation count: 427
H-index: 11
I10-index: 12
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