论述了连续小波变换和离散小波变换的性质、方法，介绍了离散二进小波变换的快速算法。

The properties of the wavelet transform and the discrete dyadic wavelet transform are discussed and a fast wavelet algorithm for one-dimensional signals is described.

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本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法，实现了特征级图像融合。

Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.

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本文主要是使用离散二进小波变换，采用小波域阈值的去噪方法对地震信号中随机噪声进行分析和处理。

This paper mainly points out how to analyze and get rid of the random noise of seismic data by using the wavelet transform and de-noising method by threshold filter in wavelet domain.

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