wavelet series transform 子波级数变换
2-band interpolating wavelet transform has the adavantage that wavelet series transform coefficient is same as binary uniform samples in multiresolution subspace.
2带插值子波变换具有多分辨子空间信号的子波级数变换（WST）系数与其2进均匀采样点的值严格一致的优点，因此，某个尺度空间上的信号的预滤波算子简化为1，这时，Mallat分解系数真正反映了原信号的特性。 然而，除Haar子波外，不存在2带正交紧支撑插值子波。
参考来源 - 多子波信号处理方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
General functions may be represented as Wavelet series. A kind of stabile, efficient and fast algorithm of Wavelet transform may be gotten through multi-resolution analysis.
一般函数都可以写成小波级数的形式，而由多分辨分析可得到小波的稳定有效快速变换算法。
As for the stable stochastic noise component linearly superposed on the median series, it is smoothed by means of the default soft threshold wavelet de-noising.
对线性叠加在中值系列中的平稳随机噪声，用默认软阈值小波消噪平滑中值序列中的随机噪声分量。
Time-frequency distribution series based on wavelet transform is discussed., and a new time-frequency tool: frequency-shear distribution is introduced into radar imaging fields.
讨论了基于小波变换的时频分布级数，把一种新的时频分析工具——频率-切变分布应用于时频成像。
应用推荐