Because complex wavelet transforms can exactly identify amplitude and phase information in signal to be dealt with, they are suitable for detection of fault signals in power system.

复值小波变换能准确分辨出信号中所包含的幅值信息和相位信息，因而，适用于电力系统的故障信号的检测。

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To detect the forged parts in a single image with copy-move attack, an autocorrelation detection method based on phase and amplitude spectrum of FFT is proposed.

针对一类单幅图像的复制遮盖篡改，提出一种基于快速傅立叶变换相位和幅度的自相关检测算法对篡改部位进行检测。

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Researching the implementation of signal detection based on FPGA and acquiring the parameter of IF signal, such as frequency, amplitude and phase.

研究信号检测算法的FPGA 实现，获取信号的频率，幅度，相位等参数。

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