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中文摘要：
并行交替采样中通道间的时基偏差易导致采样非均匀,且现有的信号重构方法运算量较大,容易使采集性能迅速下降。通过分析信号的频谱特征,提出了一种实时性较高的双通道并行采样重构算法;并采用FFT算法及反傅里叶变换对通道时基误差进行了实时校正。实验结果验证了该算法的可行性。
英文摘要：
In parallel time-interleaved sampling,the time base deviation between channels leads the inhomogeneous sampling,and existing method of signal reconstruction features larger operation volume and makes sampling performance degraded.Through analyzing the frequency spectrum of signal,the dual-channel parallel sampling reconstruction algorithm with better real-time performance is proposed.By using fast Fourier transform algorithm（FFT） and inverse FFT,the time base error between channels are corrected in real-time.The experiment verifies the feasibility of this algorithm.
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