小波变换技术在音频压缩中的应用

Application of Wavelet Transform in Audio Compression

小波(W avelet)变换是当前信息处理领域中发展非常迅速的新技术,它同时具有理论深刻和应用广泛的双重意义。由于小波变换具有传统的DCT正交变换的能量紧致性,同时还具有与人类视听觉系统很相似的特性,因此在音视频压缩领域受到广泛关注。Haar小波是小波函数簇中的一个基本函数,应用于音频信息压缩,不仅可以获得较高的压缩比,而且压缩后又能有效保留原始音频信息的状态特征参数,因此为进一步高效处理音频信息提供了一种可行的方案。

As one of the fast developing new techniques in the present information processing field, wavelet transform is of great importance both in theory and application. It has aroused broad concern in the field of audio - video compression for the energy compactness of its traditional DCT orthogonal transform. By applying Haar wavelet to the compression of audio information, we can not only obtain higher compression ratio but also reserve effectively the parameters of the state and the characteristics of the original audio information. So, it provides a practical solu- tion for the further processing of audio information.