The modal analysis and parametric identification are carried out. The ARMA mode and FFT spectrum analysis are used for these objects.
最后，用ARMA时序模型及FFT谱分析对此雷达进行了实验分析。
Mainly carried out by FFT spectrum analysis is analysis of the phase and amplitude of the signal is divided into two categories show more intuitive to understand.
主要进行的逻辑分析是FFT分析，把信号分为相位和幅值两类显示，更加直观明了。
The second chapter recommends spectrum analysis with FFT.
第二章介绍了用FFT来进行谱分析；
Basic theory of spectrum analysis and Fast Fourier Transform (FFT) algorithm are briefly introduced.
简介了频谱分析的基础理论和快速傅利叶变换(FFT)算法。
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）。
It Contains system construction, measurement environment requirement, FFT application in microcomputer, and spectrum analysis for vibrations in practical engineering.
系统的构成、对测试环境的要求、FFT在微型计算机上的实现，以及在实际工程中振动频谱分析的应用。
Two methods, code density histogram and spectrum analysis FFT, are introduced, which are typically used to test dynamic parameters of ADC′s.
着重介绍了码密度直方图法和谱分析FFT法两种常用的ADC动态参数测试方法，指出了该领域未来的研究方向。
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。
Speech signal spectrum analysis is the time-varied spectrum analysis. FFT technique on speech signal spectrum analysis are discussed in detail in this paper.
针对语音信号频谱分析实际上是时变频谱分析的特性，详细地讨论了用FFT技术对语音进行频谱分析过程中的方法问题。
Traditional speech signal processing is based on FFT power spectral analysis, in noisy condition, the spectrum of noise and speech signal are processed in the same way.
传统语音信号谱特征的提取是基于FFT 的能谱分析方法，在噪音环境情况下，对噪音的频谱成分与语音信号的频谱成分的处理采用“平均主义”的原则。
Unique to the 5372A (compared with the 5371A) are deeper memory, hardware histograms, and FFT capabilities for high-performance and more sophisticated jitter spectrum analysis and phase noise studies.
独特的向5372a （相比，与5371a ）是更深的记忆体，硬体直方图，和FFT能力高的性能和更复杂的抖动频谱分析和相位噪声的研究。
The core of spectrum analytical method is FFT, which generally brings spectrum leakage in course of analysis, and affects the precision of distortion measurement.
频谱分析法的核心是FFT, FFT方法进行谐波分析会出现谱泄漏现象，影响失真度的测试精度。
When we use FFT to analysis harmonics and interharmonics, the interharmonics component will result in a phenomenon of frequency spectrum leakage.
在运用FFT分析谐波和间谐波时，FFT算法存在频谱泄露的现象。
The main algorithm of spectrum analysis are the base 2 FFT and the spectral calibration that can be detected in the two standards to the location within the wavelength calibration achieved.
光谱获取的算法主要由基2- FFT和光谱标定实现，光谱标定是通过在可探测波长内取两个标准位置来计算中心波长准确位置的。
The main algorithm of spectrum analysis are the base 2 FFT and the spectral calibration that can be detected in the two standards to the location within the wavelength calibration achieved.
光谱获取的算法主要由基2- FFT和光谱标定实现，光谱标定是通过在可探测波长内取两个标准位置来计算中心波长准确位置的。
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