Laser & Optoelectronics Progress, Volume. 47, Issue 4, 40702(2010)
A Novel De-Noising Algorithm of Fission Neutrons Signals by Photoelectric Detection
The empirical mode decomposition (EMD) is applied to analysis and processing of the fission neutrons events based on photoelectric detection. A new model on the de-noise of fission neutrons signals is established with self-adapting double-smoothness-detecting (DSD) algorithm on intrinsic mode function (IMF),and wavelet threshold filter. With the simulated and survey data,a series of comparisons with other signal de-noise methods are made. On an equal footing,the EMD-based-DSD has a better adaptability on various fission neutrons signals. The signal-to-noise ratio of the treated signal is higher while the waveform is more even. The loss of useful information caused by over-de-noise is avoided. Moreover,the de-noise degree can be customized quantifiably.
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Jin Jing, Wei Biao, Feng Peng, Tang Yuelin, Ren Yong, Mi Deling. A Novel De-Noising Algorithm of Fission Neutrons Signals by Photoelectric Detection[J]. Laser & Optoelectronics Progress, 2010, 47(4): 40702
Category: Fourier Optics and Signal Processing
Received: Apr. 15, 2009
Accepted: --
Published Online: Mar. 29, 2010
The Author Email: Jing Jin (jinjing@yeah.net)