Gamma energy spectrum smoothing method based on Hilbert-Huang transformation

The invention provides a gamma energy spectrum smoothing method based on Hilbert-Huang transformation, and the method comprises the steps: (1) carrying out pole symmetry modal decomposition on an input measurement spectrum, and generating intrinsic mode functions; (2) calculating modal order with the minimum L norm of the deviation between the intrinsic mode functions; and (3) according to theorder, taking the residual spectrum corresponding to the order as a final smoothing result. According to the gamma energy spectrum smoothing method based on Hilbert-Huang transformation, the self-adaptive intrinsic mode functions are generated through the pole symmetry final state decomposition method under the condition that a filtering parameter and a primary function are not given, and a smoothed gamma energy spectrum can be obtained by combining a given decomposition stop criterion. 本发明提供一种基于Hilbert-Huang变换的γ能谱平滑方法，所述方法包括：(1)对输入的测量谱进行极点对称模态分解，生成本征模函数；(2)计算在本征模函数之间偏差的L范数最小的模态阶数；(3)根据所述阶数，将其对应的剩余谱作为最终的平滑结果。本发明提供的一种基于Hi