Compressed Sampling for Neural Action Potentials Based on Random Convolution
Zhang Bing-chen①② Dai Bo-wei③
①(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ②(University of Chinese Academy of Sciences, Beijing 100190, China) ③(Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China)
Abstract：Neurons Action Potentials (NAP) contain the most critical information of neurons actions. Based on the discussion for the sparsity characteristics of NAP presented in the DWT domain, and the analysis of related Compressive Sensing (CS) measurements, a compressed sampling method for NAP based on random convolution is proposed. For the aspects of the signal recovery and physical realization, three compression measurement methods are compared. The experiment results show compressed sampling method for NAP based on random convolution is the best compressed sampling scheme of the three for its system realization is simplest.
张冰尘, 戴博伟. 一种基于随机滤波的神经动作电位信号压缩感知采样方法[J]. 电子与信息学报, 2013, 35(9): 2283-2286.
Zhang Bing-Chen, Dai Bo-Wei. Compressed Sampling for Neural Action Potentials Based on Random Convolution. , 2013, 35(9): 2283-2286.
2013, Vol. 35 
