中子脉冲信号重构算法研究

摘要

论文以中子脉冲数据为研究对象,结合压缩感知算法,模拟仿真中子实验数据,分别用匹配追踪算法和压缩采样匹配追踪算法在Mlaltba上实现对中子脉冲信号重构试验研究.通过改变测量次数和信号稀疏度并利用信噪比SNR、峰值信噪比PSNR、均方误差SME、均方根误差RSME等多个参数对重构信号进行分析和比较,以此探究压缩感知框架下中子脉冲信号的重构.%In this paper,with a neutron pulse data as the research obj ect,combined with compressed sensing algo-rithm,neutron experimental data is simulated,matching pursuit algorithm and compressive sampling matching pursuit algo-rithm are used to reconstruct the neutron pulse signal on Matlab.By changing the measurement times and sparsity of signal, combined with parameters of SME,RMSE,SNR and PSNR etc,the reconstruction of compressed sensing framework neu-tron pulse signal is analyzed.