时频分析方法已经在许多领域得到了应用，而且都取得了良好的效果。
Time-frequency analysis method has been applied in many fields, and it acquires a great of achievements.
时频分析方法是利用小波变换原理，从地震波的时间域和频率域同时对其作出分析。
Time frequency analysis method is used to analyze the time domain and frequency domain of seismic waves at the same time according to the principle of wavelet transformation.
同时还讨论了时频分析方法在图象分析与处理中的应用。
We also discussed the applications of these methods on image analysis and processing.
从雷达多目标分辨的基本原理和方法出发，探讨了时频分析在雷达非刚性多目标分辨中的应用问题。
Combined with the basic principle and method of the radar multitarget resolving, the application of time frequency analysis is discussed for nonrigid multitarget resolving.
结果表明，各种时频分析方法对零部件类型的敏感程度有所差异。
The results showed that the sensitivity of time-frequency methods on different type of components is different.
本研究提出了一种基于时频分析的癫痫脑电棘波检测方法。
This paper proposes a new method based on time frequency analysis to detect spikes automatically.
目的：分别对正常人和脑梗死患者颈动脉血流超声多普勒时频分析，为临床应用提供参考资料。
Objective: To analyze time frequence of carotid flow Doppler signal of normal and cerebral infarction cases, providing reference for clinical applications.
重点对广义解调时频分析方法应用范围、相位函数的选择等问题进行了讨论，得出了相应的结论。
Furthermore, its some problems, such as, the application range and the selection of the phase function are discussed and the corresponding conclusions are obtained.
粗铝丝超声引线键合；换能器驱动电流；信号时频分析；特征提取；质量在线监测。
Aluminum wire ultrasonic bonding; transducer drive current; signal time-frequency analysis; feature selecting; quality online monitoring.
籍助对舰船噪声通过特性信号的时频分析，得到了若干典型舰船的噪声源强度谱纵向分布特性。
The longitudinal distributions of source intensity spectrum of several typical ships is given on the basis of time frequency analysis of the passage signature of ship radiated noises.
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。
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.
实际研究表明，时频分析方法能够解决很多生物医学信号问题。
It has been shown that many biomedical signal problems may benefit from time frequency analysis.
时频分析方法分为线性、二次型和自适应等多种方法，它们提供了在时频二维平面上，分析信号时变功率谱的有效手段。
The methods of time frequency analysis include linear, quadratic and adaptive methods. They provide effective tools for analyzing signal time varying spectrum in time frequency plane.
首先，对现阶段常用于声振信号分析领域研究的各种时频分析方法的优缺点进行了分析和比较。
First, Discuss the advantage and disadvantage of some methods of time-frequency analysis usually used in the field of signal processing on sound and vibration.
为了研究OFDM信号在低压电力线上的传输情况，运用基于维格纳分布的时频分析方法对电力线上的信号进行分析。
The Wigner Ville time frequency analysis in conjunction with properly selected OFDM parameters is applied to evaluate the signal dynamic range performance over the low voltage power line network.
从特征信号提取的角度出发，采用局域波时频分析和信息熵结合的方法进行往复式压缩机故障诊断。
In the view of feature signal extraction, the local wave time-frequency analysis and information entropy were used to deal with fault diagnosis.
在声发射信号的处理中使用了时频分析工具—小波包，将信号在不同尺度上分解，以便确定信号在奇异点处的时频特征信息。
In processing the AE signal, the analysis tool of time and frequency-wavelet package is adopted, in order to confirm the characteristics of time and frequency in strange points of the signal.
从小波变换的基本概念出发，简要介绍了小波变换在信号时-频分析中的变焦特性。
From the basic conception of wavelet transformation, we discuss briefly the zooming characteristics of wavelet transformation in time-frequency domain analysis in this paper.
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。
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.
研究结果表明：基于经验模式分解的时频分析方法可以很有效地提取到非平稳故障特征信号，是一种适合于非线性信号处理的方法。
The experiment result shows that the time-frequency method based on EMD can effectively extract the feature of unbalanced fault signal and is proper for non-frequency modulation signal procession.
利用铁谱分析技术和振动分析技术中的时频分析方法研究了模拟点蚀故障齿轮磨损与振动的关系。
The relation of wear and vibration of gear of simulating pitting fault was studied by using ferrographic analysis and the time and frequency spectrums of vibration analysis technology.
利用小波变换所具有的良好的时频分析特性，实现了输入输出之间映射关系的多分辨学习。
The good localization characteristics of wavelet functions in both time and frequency space allowed hierarchical multi-resolution learning of input-output data mapping.
采用了短时傅里叶变换方法对仿真信号进行了时频分析，得到了能够较好地反映目标特征的微多普勒图像。
Short time Fourier transform was used to analyze the simulated signal in the time-frequency domain, a micro-Doppler image that can demonstrate the target characteristics was generated.
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。
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.
文中以模糊函数理论为基础，分析了时频分析产生交叉项的原因，给出了以径向高斯函数为核函数的自适应时频分析优化算法。
This paper based on ambiguity function theory analyzes the cause of cross-components and gives the optimization algorithm of adaptive TFD with radially-gaussian kernel.
通过研究网络流量的时频分析，提出了一种新的基于平滑魏格纳分布(WVD)的故障识别算法。
A novel fault identification algorithm based on smooth pseudo Wigner-Ville distribution (WVD) is proposed, which focused on the time-frequency analysis of network traffic.
通过将多个时频分析的窗口重叠来克服时频分析中交叉项的影响。
By using multiple overlapped SPWVD Windows, the effect of cross-term interference in the time-frequency analysis was minimized.
在已有轨道不平顺和轨道谱研究成果的基础上，从接触网不平顺检测数据的时频分析方面对接触网不平顺进行了研究。
The catenary irregularity is researched from time-frequency analysis of the data detected based on existing research results of track irregularity and track spectrum.
在已有轨道不平顺和轨道谱研究成果的基础上，从接触网不平顺检测数据的时频分析方面对接触网不平顺进行了研究。
The catenary irregularity is researched from time-frequency analysis of the data detected based on existing research results of track irregularity and track spectrum.
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