Application and Evolution for Neural Network and Signal Processing in Large-Scale Systems
نویسندگان
چکیده
Low frequency oscillation is an important attribute of human brain activity, and the amplitude low fluctuation (ALFF) effective method to reflect characteristics oscillation, which has been widely used in treatment diseases other fields. However, due accuracy current analysis methods for signal extraction ALFF, we propose Fourier-based synchrosqueezing transform (FSST), often field processing extract ALFF power spectrum whole-time dimension. The extracted are compared with those FSST fast Fourier (FFT) through resting-state data. It clear that by more characteristics, significantly different from FFT.
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ژورنال
عنوان ژورنال: Complexity
سال: 2021
ISSN: ['1099-0526', '1076-2787']
DOI: https://doi.org/10.1155/2021/6618833