通用树状多带滤波器组的内存可调实现

Memory-Scalable Implementation of Generic Tree-Structured Multi-Channel Filterbanks

通过将多带滤波器组转化为单进单出的线性周期时变系统给出了通用树状多带滤波器组的一种内存可调节的实现.该方法与在整帧信号上进行全局分解生成相同的子带系数且正、逆变换均具有与信号长度无关的低内存需求.该方法的另一个特点是正、逆变换的内存需求的大部分可在正、逆变换之间任意分配.

By reformulating the multi-channel filterbank as single-in single-out linear periodically time-varying system, a memory-scalable implementation of generic tree-structured filterbanks （GTSFB） is presented that produces exactly the same subband coefficients as the global implementation of GTSFBs. Both the forward and inverse transforms of the proposed approach have low- memory requirements unrelated to the signal length. Additionally, the majority of the memory budget can be distributed freely between the forward and inverse transforms, which is highly desirable for the applications where the memory asymmetry exists between the analysis/synthesis systems.