Abstract
Various signal enhancement techniques have been proposed to improve spectral estimation of closely spaced sinusoids in the presence of noise. This correspondence exploits the filtering interpretation of some well-known SVD-based iterative algorithms for signal enhancement to further improve their performance. It is shown that the initial conditions that are used throughout the filtering process may considerably affect the spectral characteristics of the signal. A strategy is proposed to minimize these undesirable effects. The new method improves the performance of fully automated magnetic resonance spectroscopy (MRS) quantitation.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
