Employing Interpolated Wavelets for Hard and Soft Digital Processing of Scintillation Detector Signals

Abstract

In this article, hard and soft digital cores have been developed for refining, shaping, counting and multi-channel analysing (MCA) of scintillation detector signals. These cores are implemented to apply the forward wavelet transform for signal decomposition and the back interpolation technique for the reconstruction phase. We aim to de-noise, compress and reconstruct these signals by which the processing speed and storage will be optimized. Moreover, the presented technique deliver all important features of the scintillation signals such as; counting, shaping, pulse height. Also, it performs multichannel analysing from the single channel analyzing results. The new contribution of our framework arises from employing the interpolation techniques to reconstruct the signal where the mother wavelet and details are neglected. Moreover, soft techniques have been applied to evaluate the performance of the nonlinear mother wavelets and interpolation methods. The hardware design is implemented using hardware description language (HDL) and is implemented practically on the FPGA. The performance of the design has been tested in simulation mode on Model Sim benchmark and in real time mode on XC2S 50 Spartan-II FPGA. The soft processing included in this article employs a special purpose digital filter to refine the nuclear pulses and to extract their important features.