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Distributed adaptive learning mechanisms

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Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

Suhas Diggavi

We consider multiple description source coding problem with Gaussian source and mean squared error, for

K=3

descriptions. We obtain an outer bound for the rate region of the problem. We also derive an inner bound for the problem based on successively ref ...

2007

Distributed adaptive learning mechanisms

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Nonideal Sampling and Regularization Theory

Adaptive processing over distributed networks

Hierarchical wavelet modelling of environmental sensor data

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

Adaptive estimation algorithms over distributed networks

Distributed Recursive Least-Squares Strategies Over Adaptive Networks

Data-Driven Controller Tuning Using Frequency Domain Specifications

Generalized Smoothing Splines and the Optimal Discretization of the Wiener Filter

PID Controller Design with Specifications on the Infinity-Norm of Sensitivity Functions

Multigrid Image Reconstruction from Arbitrarily Spaced Samples

Data-Driven Controller Tuning Using Frequency Domain Specifications

Generalized Smoothing Splines and the Optimal Discretization of the Wiener Filter

Distributed Recursive Least-Squares Strategies Over Adaptive Networks

Adaptive processing over distributed networks

Adaptive estimation algorithms over distributed networks

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

PID Controller Design with Specifications on the Infinity-Norm of Sensitivity Functions

Nonideal Sampling and Regularization Theory

Hierarchical wavelet modelling of environmental sensor data

Multigrid Image Reconstruction from Arbitrarily Spaced Samples