Title: Detection of NQR signals using wavelet transform and adaptive filters
Authors: Preeti Hemnani; A.K. Rajarajan; Gopal Joshi; S.V.G. Ravindranath
Addresses: Homi Bhabha National Institute, Mumbai, India; SIES Graduate School of Technology, Nerul, Navi Mumbai, Mumbai, India ' Bhabha Atomic Research Centre, Mumbai, India ' Bhabha Atomic Research Centre, Mumbai, India ' Bhabha Atomic Research Centre, Mumbai, India
Abstract: NQR signal processing method based on two adaptive filters techniques namely adaptive noise cancellation (ANC), adaptive line enhancement (ALE) and wavelet transform are studied and it is shown that ALE is faster detection method with improved signal to noise ratio. Based on the 14N NQR signal observed from NaNO2, ALE seems to be easier and more reliable technique for NQR spectroscopy.
Keywords: nuclear quadrupole resonance; NQR; nuclear magnetic resonance; NMR; wavelets; adaptive line enhancement; ALE; adaptive noise cancellation; ANC.
International Journal of Instrumentation Technology, 2018 Vol.2 No.1, pp.34 - 49
Received: 06 Sep 2016
Accepted: 19 Dec 2016
Published online: 30 Mar 2018 *