Potential field data processing using the redundant lifting scheme
Afshin Aghayan, Priyank Jaiswal, Estella A. Atekwana · 2017
Discrete wavelet transform (DWT) is used frequently in denoising potential field data albeit its drawbacks of aliasing and phase distortion, those arise due to its inherent shift-variant nature. Here, we show that both these drawbacks can be adequately addressed through modified version of second generation wavelet transform possess known as the redundant lifting scheme (RLS). We have demonstrated the use of RLS in suppressing random noise in a potential field dataset for representing the abilities of the RLS in dealing with potential field data. The RLS can be used for wide range of processing and interpretation of potential field data. Presentation Date: Wednesday, September 27, 2017 Start Time: 8:55 AM Location: 360C Presentation Type: ORAL