In this paper time series spectra, both linear spectrum (FFT spectrum) and nonlinear spectrum (ar spectrum) are introduced briefly.
本文介绍了时间序列分析的线性谱(快速傅里叶变换fft谱)和非线性谱(自回归ar谱)。
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。
The technologies including nonlinear compensation, scales conversion, algorithms of signal preprocessing, FFT spectrum analyzing is emphasized.
着重阐述了数据的非线性补偿技术、标度变换技术、信号预处理的各种算法、FFT谱分析技术。
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。
In fact, the FFT spectrum is the convolution between read time series and window function in domain of frequency, the dominant frequency position influence on leakage should not be ignored.
由于实际信号和窗函数在频域为卷积关系，所以应该考虑实际频率在FFT谱上所处的位置。
The second chapter recommends spectrum analysis with FFT.
第二章介绍了用FFT来进行谱分析；
Comparing with the FFT and the amplitude measure arithmetic, the novel method can avoid the spectrum leakage and fence effect in ideal extent and improve the precision of harmonics measurement.
与FFT和幅值检测法相比，该方法能消除fft算法的频谱泄露，提高了谐波检测的精度，且适用于含有非整数次谐波的信号。
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）。
Under the condition of unchanging the spectrum resolution, the latency of the laser wavelength measurement system is improved by reducing the samples of FFT operation.
在保证频谱分辨率不变的情况下，通过减少参与FFT运算的点数来缩短运算时间，提高激光波长测量装置的反应速度。
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。
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。
Fast Fourier Transform (FFT) is inevitable to cause the spectrum leakage and fence effect because of truncation and discreteness in signal collection.
采用快速傅立叶变换(FFT)进行电力系统谐波分析时，需要对采样信号截断并离散化，从而导致频谱泄漏和栅栏效应。
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。
It's proved by theory and emulation that this spectrum estimation method has a better frequency resolution and a higher estimation accuracy than that of FFT under the condition of short data signal.
理论和仿真结果都证明，在短数据信号情况下，这种谱估计方法其频率分辨率和估计精度都要高于FF T方法。
The method of impact excitation testing with Fast Fourier Transform (FFT) based on spectrum analyzer to determine the dynamic characteristics of a heald frame is introduced.
介绍了通过基于快速傅立叶变换（FFT）的谱分析确定综框的动态特性。
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。
The iterative FFT algorithm can provide better extrapolation performance and more ac-curate spectral estimates than other developed algorithms for the band-limited signals with a smooth spectrum.
它在外推性能和谱估值方面比以往的方法好。由于采用了FFT和收敛加速因子，它是一种实用的算法。
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。
First of all, starting with the estimate of signal parameter (e. g. amplitude, frequency and phasic), it makes a research in algorithms of direct, subdivide the spectrum, high-precision FFT and so on.
首先，本文从信号参数(幅度、频率、相位)估计入手，研究了直接法、细化频谱法和高精度FFT法等算法。
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。
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 correlation method and FFT method of the power spectrum estimation could not completely reflect the concept of the power spectrum of the non-stationary random signals because of data truncation.
对于非平稳随机信号的功率谱分析，采用自相关函数傅里叶变换和直接傅里叶变换分析时，由于存在数据截断，二者从概念上都不能很好地反映随机信号的功率谱。
Methods Static isometric loading of the biceps and low back muscle was performed in 14 subjects, using FFT power spectrum and its two dimensional mapping to analyze SEMG signals from these muscles.
方法14名受试者分别参加肱二头肌和腰部脊竖肌等长运动负荷实验，取表面肌电信号进行FF T功率谱及其功率谱二维地形图分析。
In the FFT based algorithm for octave CPB spectrum, the frequency leakage causes big calculation errors in each frequency band.
基于FFT的倍频程CP B谱实现算法中，由于FFT变换时频谱泄漏的影响，导致倍频程CP B谱许多频段出现较大的计算误差。
So in some situations required high precision, it does not satisfy requirement by using direct FFT to estimate the spectrum.
在测量精度要求较高的场合，直接利用FFT频谱估计显然无法达到要求。
Aiming at the acquisition problem of direct sequence spread-spectrum (DSSS) signals with large Doppler offset, a new method based on fast Fourier transform (FFT) is proposed.
针对具有大多普勒偏移的直接序列扩频信号捕获问题，提出一种基于快速傅里叶变换(FFT)的多普勒和伪码分别并行搜索的捕获新方法。
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。
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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