摘要
抽样率转换是数字信号处理中重要的预处理技术,经典的抽样率转换采用上插、滤波、抽取过程实现,冗余运算多.改进的抽样率转换采用多相分解高效算法,去除冗余运算,提高转换效率.但当滤波器通带较窄时,阶次迅速上升,占用空间显著增加.IFIR滤波器具有通带窄,阶次低的优点.结合多相分解的高效和IFIR滤波器设计的低阶次特点,设计出改进的抽样率转换器结构,最高可节省80%的存储器件.
Transformingofsamplingrateisanimportantpre-processtechnologyinDSP. Classicaltransformingofsampling rate consists of upsampling, filtering and down- sampling It has much redundant computatiort The improved algorithm based on multiphase decomposition reduces redundant eomputation. and increases efficiency. But when the filter pass-band is comparatively narrow the fiher＇s order increases so rapidly that it occupies a great deal ofstorag~ IFIR（interpolated finite impulseresponse） has narrowpass-band and lowordeE Combined with thehigh-efficiency ofmuhiphase decomposition and the loworderoflFIR, animproved transformerofsampling rate was designed. It canevensave 80% storazeat best
出处
《应用科技》
CAS
2009年第5期20-22,共3页
Applied Science and Technology
关键词
IFIR
值滤波器
多相分解
抽样率转换
FIR
interpolation filter
muhiphase decomposition
sampling rate transform
