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.
然后对人脸图像做奇异值分解和离散傅立叶变换，并分别提取最佳鉴别变换特征，用最近邻方法进行分类。
The optimal discriminant features of face are extracted using singular value decomposition and Fourier transform, and then they are classified by the nearest neighbor method. In...
然后对人脸图像做奇异值分解和离散傅立叶变换，并分别提取最佳鉴别变换特征，用最近邻方法进行分类。
The optimal discriminant features of face are extracted using singular value decomposition and Fourier transform, and then they are classified by the nearest neighbor method. In...
应用推荐