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M-Channel Lifting Factorization of Perfect Reconstruction Filter Banks and Reversible M-Band Wavelet Transforms

机译:完美重构滤波器组的M通道提升分解和可逆M波段小波变换

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摘要

An intrinsic M-channel lifting factorization of perfect reconstruction filter banks (PRFBs) is presented as an extension of Sweldens' conventional two-channel lifting scheme. Given a polyphase matrix E(z) of a finite-impulse response (FIR) M-channel PRFB with det(E(z)) = z{sup}(-K), K∈6 Z, a systematic M-channel lifting factorization is derived based on the Monic Euclidean algorithm. The M-channel lifting structure provides an efficient factorization and implementation; examples include optimizing the factorization for the number of lifting steps, delay elements, and dyadic coefficients. Specialization to paraunitary building blocks enables the design of paraunitary filter banks based on lifting. We show how to achieve reversible, possibly multiplierless, implementations under finite precision, through the unit diagonal scaling property of the Monic Euclidean algorithm. Furthermore, filter-bank regularity of a desired order can be imposed on the lifting structure, and PRFBs with a prescribed admissible scaling filter are conveniently parameterized.
机译:完善的重建滤波器组(PRFB)的固有M通道提升因式分解是Sweldens传统两通道提升方案的扩展。给定一个有限冲激响应(FIR)M通道PRFB的多相矩阵E(z),且det(E(z))= z {sup}(-K),K∈6Z,则系统M通道提升基于Monic Euclidean算法得出因式分解。 M通道提升结构提供了有效的分解和实现;示例包括针对提升步骤,延迟元素和二进系数的数量优化因子分解。准单位构造块的专业化使得能够基于提升来设计准单位滤波器组。我们展示了如何通过Monic Euclidean算法的单位对角线缩放属性在有限的精度下实现可逆的,可能无倍数的实现。此外,可以在提升结构上施加所需顺序的滤波器组规则性,并且可以方便地对具有规定的允许比例缩放滤波器的PRFB进行参数设置。

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