基于时频滤波重构自适应采样方法研究

Research of adaptive sampling based on reconstruction of time-frequency filtering

本文基于对自适应采样时频分布的推导,提出了一种时频滤波重构自适应采样的方法;从理论上证明了时频滤波重构方法的可行性,也通过实例验证了该重构方法可实现自适应采样的重构,并且,定性分析了时间窗对重构误差的影响;最后,以信噪比作为指标,重点分析了窗函数宽度、种类的影响,评估了影响时频滤波重构自适应采样精度的各因素。

According to the time-frequency distribution, the paper proposes a reconstruction algorithm based on time-frequency filtering for adaptive sampling. The feasibility of algorithm is proved from theory and example. Through the qualitative analysis, the effect of the time-window upon the reconstruction error is derived. Finally, using SNR as the index, the factors impacting the reconstruction accuracy are evaluated, in which the width and the sort of time-window are emphasis analyzed.