基于有限新息率的二进制频率编码超声信号稀疏采样     

宋寿鹏  陈仪倩  胥保文  邱越 《东南大学学报》2022,(1):27-35

为了实现编码超声信号的稀疏采样,提出了一种基于有限新息率的二进制频率编码超声信号稀疏采样方法.给出了脉冲类超声信号有限新息率稀疏采样的架构,分析了编码超声与脉冲超声信号的差异,建立了编码超声信号响应数学模型,采用高阶矩方法对编码回波信号进行了时域变换,获取了其脉冲流信号,经过采样核调制后实施等间隔稀疏采样,实现了编码超...  相似文献   

变尺度混沌优化支持向量机模型选择     

刘清坤  阙沛文  费春国  宋寿鹏 《上海大学学报(英文版)》2006,10(6):531-534

1 Introduction Support vector machine (SVM) is a powerful ma-chine learning tool capable of representing non-linearrelationships and producing models that generalizeswell to unseen data .SVMhave been applied widelyinmany fields[1]such as hand-written character recogni-tion ,text categorization,computer vision,speechrec-ognition and gene classification,etc. Despite this , using an SVM requires a certainamount of model selection,i.e.,selection of the ac-tual kernel and its parameters .In rec…  相似文献