基于优化匹配追踪稀疏分解的微弱超声回波提取

为提高低信噪比环境中微弱超声回波信号的提取性能,提出优化的匹配追踪(Matching Pursuit,MP)稀疏分解的超声回波提取算法。该算法将具有连续空间搜索能力的粒子群优化(Particle Swarm Optimization,PSO)算法引入到MP稀疏分解中,以缓解原子集的遍历有限性需求与超完备性之间的矛盾,通过改进粒子群算法的参数自适应设置及MP算法的目标函数和重构函数,实现自适应的PSO-MP稀疏分解算法,并建立了连续伽柏(Gabor)原子集,提高了最优原子与不同参数超声回波信号的匹配程度,最后由最优原子集通过重构函数对回波信号进行重构,实现对回波的降噪和准确提取。实验结果表明,该算法显著降低了计算量,效果优于已有小波阈值等算法且具有较好鲁棒性。

A Comparative Study of Process Parameter Optimization and Process of Flavonoid in Planted Trollius Chinensis through Backflow Method, Ultrasonic Wave Method and MicrowaveMethod

It takes flavonoid extraction rate as indicator and adopts the method of orthogonal experiment to study process of total flavonoid in Trollius chinensis through ultrasonic wave assisted extraction, microwave assisted extraction and backflow extraction, as well as optimization of process parameter. The result indicates that in terms of extraction efficiency, microwave extraction method is better than ultrasonic radiation extraction method, which is better than backflow extraction method. Optimal process parameter through backflow extraction is： backflow temperature 60℃, fluid material ratio 1：20, ethanol density 65%, backflow time 60min; optimal process parameter through ultrasonic wave assisted extraction is： ultrasonic radiation temperature 70℃, fluid material ratio 1：20, ethanol density 65%, ultrasonic wave radiation time 45rain; optimal process parameter of microwave assisted extraction is： microwave radiation temperature 60℃, fluid material ratio 1：20, ethanol density 75%, microwave radiation time 45min.