multiresolution wavelet transformation 多分辨率分析
edge check with wavelet transformation 利用小波变换进行边缘检测
It is a new attempt to apply wavelet transformation in real-time system.
把小波变换应用到实时系统中是一个新的尝试。
参考来源 - 视频实时小波编码和解码系统的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
This paper introduces a continuous wavelet transformation for detecting the disturbed partial discharge pulses in HV transformer.
采用了子波函数对含强载波干扰的局部放电信号进行连续子波变换。
Calculates the setting range of each parameter in theory, and proves the method of wavelet transformation has higher frequency resolution than the method of FFT.
从理论上计算各个参数的设置范围，并且证明小波变换方法比FFT方法有较高的频率分辨率。
The result shows that the wavelet transformation would be used to constrain the static shift in MT, which is effective and potential method of static correction.
实测资料的处理结果表明，利用小波变换可以进行压制MT中的静态偏移，是一种有效的、潜在的静校正方法。
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