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National Science Foundation

Cyber-Physical Systems Virtual Organization

Fostering collaboration among CPS professionals in academia, government, and industry

CPS-VO

Wiener filters

biblio

Visible to the public "On compressed sensing image reconstruction using linear prediction in adaptive filtering"

Submitted by grigby1 on Tue, 02/21/2017 - 12:35pm
  • Noise
  • Wiener filters
  • Stochastic processes
  • spatial domain adaptive Wiener filter
  • sparsity
  • Sparse matrices
  • sensors
  • Robbins-Monro stochastic approximation
  • random noise
  • pubcrawl170104
  • Prediction algorithms
  • prediction
  • Nyquist rate requirement
  • nonparametric approach
  • adaptive filter
  • MRI
  • Modified-RM approximation
  • magnetic resonance imaging
  • Image reconstruction
  • distance based linear prediction
  • CS reconstruction problem
  • compressive sampling
  • compressed sensing
  • Approximation methods
  • Approximation algorithms
  • adaptive filters
  • adaptive filtering
biblio

Visible to the public "An improved speech enhancement approach based on combination of compressed sensing and Kalman filter"

Submitted by grigby1 on Tue, 02/21/2017 - 12:33pm
  • noisy speech signal reconstruction
  • Wiener filters
  • Wiener filter
  • speech enhancement techniques
  • speech enhancement
  • Speech
  • Spectral Subtraction
  • signal subspace
  • signal reconstruction
  • pubcrawl170104
  • objective measures
  • compressed sensing
  • Noise measurement
  • MMSE
  • Mathematical model
  • least mean squares methods
  • Kalman filters
  • Kalman filter
  • improved speech enhancement approach
  • CoSaMP algorithm
  • compressive sampling matching pursuit

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