Y.N. Rao - Concepedia

Author

Y.N. Rao

University of Florida ORCID

Also Known As

Y N Rao, Y. N. Rao, Y.N. Rao, Yamarthi Narsimha Rao, Yufan Rao, Yujing Rao

Publications

428

Citations

H-Index

Concepts

All Affiliations

University of Florida Duke University Motorola (United States)

About

Y.N. Rao is an author at University of Florida specializing in engineering, computer science, and signal processing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	191
2	Social Sciences	3	3	213
3	Health Sciences	2	2	182
4	Computer Engineering	2	2	34
5	Cognitive Science	1	1	119

Y.N. Rao

Publications

384

Citations

H-Index

Page 1

	Year	Citations
A comparison of optimal MIMO linear and nonlinear models for brain–machine interfaces S.-P. Kim, Justin C. Sanchez, Y.N. Rao, Journal of Neural Engineering Motor LearningSubspace Wiener FiltersNeural RecodingOptimal Mimo LinearMotor Control	2006	119
Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns Justin C. Sanchez, Sung-Phil Kim, Deniz Erdoğmuş, Fir FilterInput-output Mapping PerformanceNeural RecodingMotor ControlRecurrent Neural Network	2003	63
A fast, on-line algorithm for PCA and its convergence characteristics Y.N. Rao, José C. Prı́ncipe Numerical AnalysisEngineeringData ScienceConvergence CharacteristicsPattern Recognition	2002	40
Learning Mappings in Brain Machine Interfaces with Echo State Networks Y.N. Rao, Sung-Phil Kim, Justin C. Sanchez, Massive DisparityEngineeringMachine LearningRecurrent Neural NetworkSocial Sciences	2005	31
An RLS type algorithm for generalized eigendecomposition Y.N. Rao, José C. Prı́ncipe Statistical Signal ProcessingEngineeringRls Type AlgorithmMultidimensional Signal ProcessingGeneralized Eigendecomposition	2002	28
Error whitening criterion for adaptive filtering: theory and algorithms Y.N. Rao, Deniz Erdoğmuş, José C. Prı́ncipe IEEE Transactions on Signal Processing EngineeringMachine LearningStochastic AnalysisMse CriterionAdaptive Filtering	2005	22
Vector-quantization by density matching in the minimum Kullback-Leibler divergence sense A. Hegde, Deniz Erdoğmuş, Tue Lehn-Schiøler, Vector Quantization TechniqueMachine LearningEngineeringBiometricsDensity Matching	2005	18
Supervised Training of Adaptive Systems with Partially Labeled Data Deniz Erdoğmuş, Y.N. Rao, José C. Prı́ncipe Artificial IntelligenceEngineeringMachine LearningData ScienceData Mining	2006	15
Multivariate density estimation with optimal marginal parzen density estimation and gaussianization Deniz Erdoğmuş, Robert Jenssen, Y.N. Rao, Multivariate Density EstimationDensity EstimationEngineeringMachine LearningData Science	2005	13
Efficient total least squares method for system modeling using minor component analysis Y.N. Rao, José C. Prı́ncipe Reduced Order ModelingEngineeringFir System IdentificationModeling MethodComputational Complexity	2003	12

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