Wavelet transform involves the two-variate function of frequency and time, which makes it convenient to simultaneously compensate for attenuation of seismic energy in frequency and time domains.
小波变换作为频率和时间的二元函数，使之可以很方便地在频率和时间域中同时进行地震波能量的吸收衰减补偿。
Although the filtering method in frequency domain can solve the time variant filtering problem based on Fourier transform, the method may appear a false anomaly in conjunct part between Windows.
频率域滤波方法虽然可解决时变滤波问题，但这种方法是基于傅里叶变换，在窗口与窗口之间的接合部位会出现假异常。
But compare with FFT, the calculation time needed by the multiple frequency rotate transform is very long, which has influenced its wide application to a certain extent.
但是，与快速傅立叶变换相比，倍频旋转变换理论所需要的计算时间很长，这在一定程度上影响了它的广泛应用。
This paper proved that a frequency stochastic sequence obtained from a stationarily correlated time series by using discrete Fourier transform is orthogonal.
本文证明了时间域内的平稳相关序列经离散傅里叶变换之后，听得到的是频域内的正交随机序列。
The wavelet transform is of good localization property in the domain of time and frequency, which provides a comprehensive application in processing acoustic wave.
小波变换同时有在时间域和频率域对信号进行局部化的特点，使其在声波信号处理中有着广泛的应用前景。
The basic function of this program is the signal to Fourier transform, and the simultaneous extraction of his time domain and frequency domain characteristic values.
说明：本程序的基本功能是对信号进行傅里叶变换，并同时提取出他的时域和频域的特征值。
Wavelet transform possesses excellent characteristic of time frequency localization, and provides an effective measure for analysing signal causing unstable vibration.
小波变换具有很好的时域和频域局部化特性，为以非稳态振动为特征的信号提供了有效的分析手段。
Wavelet packet transform is used as an efficient tool for precisely analyzing signal property, and provides orthogonal wavelet packet bases with better time frequency localization function.
小波包变换能作为一种有效工具对信号特性进行精细分析，同时提供具有良好时频局部性的正交小波包基。
Meanwhile, data of complete time domain waveform is needed in order to calculate accurate S-parameters of frequency domain via fast Fourier transform (FFT).
而要通过快速傅立叶变换(FFT)获得准确的频域参数，又必须得到完整的时域波形数据。
How to transform a character string into a numerical sequence is discussed from the time domain and the frequency domain.
主要从时域和频域两方面说明符号序列如何转换为数值序列。
Bilinear time-frequency transform possesses a high resolution both in the time domain and the frequency domain. It can be utilized to detect weak transient signal in complex background.
双线性时间-频率变换在时间域与频率域都具有较高的分辨率，有利于复杂背景条件下微弱瞬时信号的探测。
Wavelet transform has a good analyzing feature and a good time frequency localization. Spectrum whitening is a effective tool of frequency compensation in high resolution processing.
小波变换具有分析性质好和时—频局域化好的特性，而谱白化方法是高分辨处理中一种有效的频率补偿手段。
Implementing Fourier Transform to solve the acoustic pressure correction equation in the frequency domain can avoid cockamamie retarded time calculation.
通过傅立叶变换在频域求解声压方程，避免了繁琐的时间延迟计算。
Wavelet analysis, also called wavelet transform, is a new analysis method with good time frequency localization characteristic, so it is suitable for fault analysis of power system.
小波分析(或称小波变换)是一种新的时频分析方法，它具有良好的时频局部化特性，适用于电力系统故障分析。
By exploiting wavelet packet transform to analyze signals both in time and frequency space, this paper researches the statistic property of non-Gaussian stationary noise and its signal structure.
该文利用小波包变换的时频局部分析能力，研究了非高斯分布平稳随机噪声的统计特性，揭示了非高斯噪声信号的信号结构。
By digital simulation and detection of gearbox fault signal the detection effect of the novel bilinear time-frequency transform is validated for the transient components in complex signal.
通过数字模拟实验与齿轮箱故障信号检测，验证了新的双线性时间-频率分布对复杂信号中瞬时分量的探测效果。
This paper introduces the method of analyzing TEOAEs by short time Fourier transform and gives the experiment results of time frequency distribution, then we analyze each frequency component.
本文介绍了用短时傅立叶变换分析瞬态诱发耳声发射方法，并给出了其时频分布的实验结果，分析了其各个频率成份出现的不同时刻及持续时间。
The wavelet transform has favorable localization character in time domain and frequency domain, which is specially applicable in wideband signal.
介绍了连续子波变换的定义和性质：基于子波变换在时域和频域的良好局部化性质；
These result shows that wavelet transform is superior to Fourier transform and short time Fourier transform both in time and frequency orientation in signal processing.
实验结果表明，小波变换无论是对信号的时间定位还是对信号的频率定位都优于傅里叶变换和短时傅里叶变换。
Time-frequency distribution series based on wavelet transform is discussed., and a new time-frequency tool: frequency-shear distribution is introduced into radar imaging fields.
讨论了基于小波变换的时频分布级数，把一种新的时频分析工具——频率-切变分布应用于时频成像。
Order analysis based on FFT is a transform between time-domain signal and frequency-domain signal and furthermore, it is the most important vibration analysis of rotational machinery.
阶次分析是基于FFT的一种时频转换谱分析，它是变速旋转机械体振动分析的最重要的一种方法。
The technique of wavelet transform has been applied and studied in the image coding field extensively because of its good feature of time-frequency and human visual system.
小波变换技术以其良好的空间—频率局部特性和与人眼视觉特性相符的变换机制，在图像编码领域得到了广泛的应用和研究。
This paper describes the need to transform the continuous periodic signal in time domain to the discrete signal in frequency domain by using Fourier Series (FS).
讨论了利用傅里叶级数把连续周期时域信号转换成离散的频域信号的必要性。
The paper uses the S transform for time-frequency filtering.
本文把S变换用于时频滤波。
Here, secondary treatment methods are introduced in detail, include time domain signal statistics character, frequency analysis fast Fourier transform (FFT), and short time Fourier transform (STFT).
这里，主要对二次处理的方法作了详细的介绍，包括时域信号的统计特征，频域分析的傅立叶变换和短时傅立叶变换。
The discrete ZAK transform and Raised cosine FIR filter are used to design time-frequency well-localized pulse shaping filters for OFDM/OQAM systems.
本文提出一种利用ZAK变换及优化的升余弦滚降滤波器设计的OFDM/OQAM系统时频局域优化脉冲成形滤波器。
Stratigraphic absorption compensation based on short-time Fourier transform has been developed by analysing the time-frequency distribution characteristics of seismic reflection signals.
本文在分析地震反射波勘探信号时频分布特性的基础上提出了基于短时傅里叶变换的地层吸收补偿方法。
Firstly we have detailedly studied the time-domain, frequency-domain and transform-domain LMS adaptive digital filters.
首先较细地研究了时域、频域和变换域最小均方自适应滤波器。
The main characteristics of wavelet transform is that some character can well outstanding by transformation and it is an important way to study signal in time-frequency domain.
小波变换的主要特点是通过变换能够充分突出某些方面的特征，它是研究信号时-频分析的重要方法。
After denoising, it analyzes PCG signal by Short-Time Fourier Transform (STFT). Different window-width is corresponding to different time-frequency resolution.
对去噪后的心音信号，本文进行了短时傅立叶变换，不同长度的时间窗对应了不用的时频分辨率。
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