In the field of signal analysis, the DFT (Discrete Fourier Transform) is a well known term.
在信号分析领域，DFT(离散傅立叶变换)是一个常见术语。
Discrete Cosines Transform (DCT) is an effective tool for analysis image signal.
离散余弦变换是分析图像信号的有效工具。
The standard method for spectrum analysis in digital signal processing is the discrete Fourier transform(DFT), typically implemented using a fast Fourier transform(FFT) algorithm.
数字信号处理中标准的频谱分析方法是离散傅立叶变换（DFT），典型的实现方法是快速傅立叶变换（FFT）。
Application DFT Discrete Fourier Transform, right through MATLAB continuous signal spectrum analysis, in order to meet the theoretical analysis and practical needs.
应用离散傅里叶变换dft，通过MATLAB实现对连续信号频谱分析，以满足理论分析和工程实际的需要。
An efficient implementation of the discrete form of the wavelet transform on digital signal processors (DSPs) is especially interesting for the analysis of real time signals.
在实时信号分析中，离散小波变换在DSP上的有效应用受到了特别的关注。
The frequency and amplitude and phase of discrete spectral lines can be calculated through two DFT analyses one after another, which is one complex time domain signal analysis virtually.
相继两次DFT分析（实为一次复时域信号分析）可精确确定诸分立谱线的频率、幅度与相位。
It can be taken as a kind of discrete signal and do spectrum analysis by discrete Fourier transform.
在计算生物学中，常采用离散傅立叶变换进行频谱分析。
Discrete fast Fourier transform (FFT) has been widely applied to signal spectral analysis and can figure out the entire bandwidth spectrum of a signal.
离散快速傅里叶变换算法在频谱分析中得到了广泛的应用，这种算法得到的计算结果是在整个频段上的频谱信息。
Discrete fast Fourier transform (FFT) has been widely applied to signal spectral analysis and can figure out the entire bandwidth spectrum of a signal.
离散快速傅里叶变换算法在频谱分析中得到了广泛的应用，这种算法得到的计算结果是在整个频段上的频谱信息。
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