Implementation of a nonlinear filter for online nuclear counting |
| |
| Institution: | 1. Physics Department, University of Athens, 15784 Panepistimioupolis, Athens, Greece;2. CEA, LIST, Diamond Sensors Lab., F-91191 Gif-sur-Yvette, France;1. School of Automation, China University of Geosciences, Wuhan 430074, China;2. School of Engineering, Tokyo University of Technology, Tokyo 192–0982, Japan;1. School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;2. School of Computing, Engineering and Mathematics, Western Sydney University, Sydney, NSW 2751, Australia;3. School of Science, Huzhou University, Huzhou, Zhejiang 313000, China |
| |
| Abstract: | Nuclear counting is a challenging task for nuclear instrumentation because of the stochastic nature of radioactivity. Event counting has to be processed and filtered to determine a stable count rate value and perform variation monitoring of the measured event. An innovative approach for nuclear counting is presented in this study, improving response time and maintaining count rate stability. Some nonlinear filters providing a local maximum likelihood estimation of the signal have been recently developed, which have been tested and compared with conventional linear filters. A nonlinear filter thus developed shows significant performance in terms of response time and measurement precision. The filter also presents the specificity of easy embedment into digital signal processor (DSP) electronics based on field-programmable gate arrays (FPGA) or microcontrollers, compatible with real-time requirements. © 2001 Elsevier Science. All rights reserved. |
| |
| Keywords: | Nuclear Measurement Filter Signal processing |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
