摘要
Ｂｄ小波是以基数Ｂ样条为平滑函数的导数小波，它们在许多方面都优于现有的高斯序列导数小波与Ｍａｌａｔ导数小波，可广泛应用于信号分析，模式识别，故障诊断，数据压缩，信噪分离等场合。文中详细介绍了如何快速计算Ｂｄ小波的滤波参数与采用Ｂｄ小波的小波变换，如何从时域特性与频域特性两方面选择所需的Ｂｄ小波。
Bd wavelets refer to a kind of derivative wavelets based on cardinal B splines. In many respects this kind of wavelets is more superior than existing derivative wavelets such as Gaussian function based ones and Mallat's ones. They can be used for signal analysis, pattern identification, failure diagnosis, data compression, noise reduction, etc. This paper describes in detail how to calculate filter coefficients of Bd wavelets quickly, how to implement wavelet transform with Bd wavelets quickly, and how to choose a desirable Bd wavelet both in time domain and frequency domain.
出处
《电网技术》
EI
CSCD
北大核心
1999年第8期44-46,50,共4页
Power System Technology
关键词
Bd小波
小波变换
滤波参数
信号检测
电力系统
Bd wavelets
derivative wavelets
fast wavelet transform
wavelet filter bank design
