S变换
谐波小波变换
小波变换
连续小波变换
常数Q变换
数学
第二代小波变换
高斯分布
算法
傅里叶变换
小波
离散小波变换
平稳小波变换
短时傅里叶变换
计算机科学
分数阶傅立叶变换
人工智能
傅里叶分析
数学分析
物理
量子力学
作者
R. G. Stockwell,L. Mansinha,R. P. Lowe
摘要
The S transform, which is introduced in the present correspondence, is an extension of the ideas of the continuous wavelet transform (CWT) and is based on a moving and scalable localizing Gaussian window. It is shown to have some desirable characteristics that are absent in the continuous wavelet transform. The S transform is unique in that it provides frequency-dependent resolution while maintaining a direct relationship with the Fourier spectrum. These advantages of the S transform are due to the fact that the modulating sinusoids are fixed with respect to the time axis, whereas the localizing scalable Gaussian window dilates and translates.
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