Decimative Subspace-Based Parameter Estimation Techniques Applied to Magnetic Resonance Spectroscopy Signals

Abstract

In this paper, the problem of estimating the frequencies, dampings, amplitudes and phases of closely spaced complex damped exponentials in the presence of noise is considered. In several papers, declination is pro- posed as a way to increase the performance of subspace- based parameter estimation methods, in the case of over- sampling 123. In this paper, a novel extension of the HTLS-method 4 that operates directly on the decimated data matrix is presented, and it is compared to other decimation methods. Experiments on simulated nuclear magnetic resonance (NMR) spectroscopy signals show the influence of decimation on the accuracy and computational complexity of the estimators.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412464

Entities

People

  • G. Morren
  • P. Lemmerling
  • S. V. Huffel

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Amplitude
  • Computational Complexity
  • Covariance
  • Decomposition
  • Digital Signal Processing
  • Electrical Engineering
  • Engineering
  • Estimators
  • Frequency
  • Magnetic Resonance
  • Monte Carlo Method
  • Noise
  • Sequences
  • Signal Processing
  • Standards

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Image Processing and Computer Vision.
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.

Technology Areas

  • Space
  • Space - Space Objects