连续小波变换VLSI实现综述

小波变换是信号处理、图像压缩和模式识别等诸多领域中一个非常有效的数学分析工具。然而，实时小波变换计算量大，需要专用硬件来实现。连续小波变换的VLSI实现在处理速度、功耗及适用频率范围方面部具有较明显的优势，且实现方法灵活。本文对近年来有关该领域的研究情况作了综合评述，讨论了其中存在的问题，并指出了今后的若干发展方向，特别是瞬时缩展电路技术是实现低电压低功耗小波变换芯片的重要途经之一。

Review of VLSI Implementation of Continuous Wavelet Transform

The wavelet transform (WT) is a very effective mathematical tool for many applications such as signal processing, image coding and pattern recognition. Special-purpose hardware is needed to implement the huge computation of WT. The VLSI implementation of continuous wavelet transform (CWT) is of conspicuous superiority in speed, power consumption, and the frequency range applied, also flexible ways of implementation. The purpose of this paper is to summarize the up-to date advances of research on this field. Associated problems are also discussed. Finally, prospective developing directions of CWT VLSI implementation are predicted. The implementation of continuous wavelet transform by using instantaneous companding circuits is a new area of research including theory and method of synthesis of wavelet functions as well as wavelet transform.