二维离散小波变换合成的改进金字塔算法

Chu Yu, Sao-Jie Chen
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引用次数: 1

摘要

金字塔算法适用于二维正、逆离散小波变换的计算。本文提出了一种新的二维合成粒子群算法,以改善经典粒子群算法存在的延时大、计算时间长、存储空间大的缺陷。与逐级计算二维IDWT的PA算法不同,我们提出的算法在字长上执行二维DWT。因此,对于处理N/spl次/N次具有m个电平和L-tap滤波器的二维IDWT,所提出的算法需要3m+4的延迟,仅在N/sup 2/时钟周期内进行计算,并花费2NL+4(m-1)的内存空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved pyramid algorithm for synthesizing 2-D discrete wavelet transforms
The pyramid algorithm (PA) has been shown very suitable for computing 2-D forward and inverse discrete wavelet transforms (DWT). In this paper, we present a new 2-D synthesis PA to improve some defects encountered in the classical PA algorithm that usually requires large latency, long computation time, and big memory space. Unlike the PA algorithm which computes a 2-D IDWT level by level, our proposed algorithm performs a 2-D DWT in word size. Thus, for processing an N/spl times/N 2-D IDWT with m levels and L-tap filters, the proposed algorithm needs a latency of 3m+4, computes only in N/sup 2/ clock cycles, and spends 2NL+4(m-1) memory space.
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