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Realistic forward modeling and source complexity reduction methods for EEG and MEG
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Noise robust speech recognition using dynamic synapse neural networks
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Space -time decay of solutions of the Navier -Stokes equations
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Inverse-Bremsstrahlung Processes In Laser Induced Gas Breakdown
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Optimal Input For Information Maximization In Least-Square Parameter Estimation
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On Radiative Transfer In A Wedge Shaped Medium
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Self-Organizing Neural Networks Based On Gaussian Mixture Model For Pdf Estimation And Pattern Classification
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The maximum entropy distribution and its covariance matrix.
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Density estimation with Haar series
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Entropy in probability and statistics
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Singular perturbation for non-linear filter densities
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The use of Fourier series density estimators in discriminant analysis
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Interframe coding of digital images using transform and hybrid transform/predictive techniques
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A Markov matrix transport study of impact ionization, velocity saturation & cascade process in nonpolar semiconductors
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Degrees of freedom of images and imaging systems
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Analysis and algorithms for the area efficient layout of custom integrated circuits
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Modern two-dimensional spectrum estimation using noncausal spatial models
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Synchronization over fading dispersive channels
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A knowledge based system for designing testable VLSI circuits
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Optically interconnected distributed dynamic network
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Extracting textured objects in real-world scenes
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Statistical tolerance limits for posterior distributions based on partially specified prior distributions
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