最常见的数字信号处理技术之一是离散傅立叶变换（DFT），它把一个信号分解成它的组成频率，并表示成一个矩阵。
One of the most common digital-signal-processing techniques is the discrete Fourier transform (DFT), which breaks a signal into its component frequencies and can be represented as a matrix.
接下来它还要经过一些数学处理程序，比如小波分解，多重分辨率傅立叶分析，多相过滤，离散余弦变换等。
It is then subject to such mathematical indignities as wavelet decomposition, multi-resolution Fourier analysis, polyphase filtering and discrete cosine transformation.
将三种单一离散频率叠加起来可以形成一个更加不规律的组合，傅立叶变换提供了一种将信号分解成各自频率成分的方法。
Summing together only three discrete frequencies can produce a much more erratic composite. The Fourier transform provides a way to decompose signals into their constituent frequencies.
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