Joint time Frequency Analysis (JTFA) describes and determines how the frequencies of non stationary signals change over time. It offers a better understanding of nature of the signal.
时-频联合信号分析法能描述非稳态信号的频率如何随时间而变化，故它能使我们更好地理解信号的本质。
A new method, the sampling interval stat. analysis method, was set up to analyze the non-uniformly sampling signal of the wide-sense stationary random processes.
提出了一种通用性强、适用于广义平稳随机过程非均匀采样信号谱分析的新方法——采样间隔统计分析法。
For dynamic reliability analysis of stochastic structures under non-stationary random excitation, a new dynamic reliability assessment method is presented based on the point estimation.
针对随机结构在非平稳随机激励下的动力可靠性分析问题，提出了基于点估计法的随机结构动力可靠性分析方法。
Some examples are given about the vibration analysis of the vehicles and rocket motors under non-stationary excitation.
还给出了车辆、火箭发动机受非平稳激励时的振动分析。
A new method for a vertical non-stationary random vibration analysis of vehicle-bridge systems subjected to track irregularity excitations is proposed.
提出了考虑轨道高低不平顺时进行车桥耦合系统垂向非平稳随机振动分析的新方法。
Order analysis plays an important role in non-stationary vibration signal processing in rotating machinery.
旋转机械非稳定信号阶比分析技术，是旋转机械特征分析的重要内容。
In the same time, a sliding pitch analysis window method is used, so it can reduce the pitch detection error in non-stationary speech segments with irregular pitch.
同时又采用了滑动窗的方法，使得对基音周期不规则的不平稳的语音段进行基音周期估计时的误差减小。
In this paper, two kinds of new time-frequency analysis approaches for non-stationary signal processing are introduced, which are wavelet transform and short-time Fourier transform.
本文介绍处理非平稳信号的新型工具——小波分析、短时付氏变换两种时频分析方法。
A new scheme named Many-knot Empirical Mode decomposition (MEMD) of data decomposition for non-stationary data analysis is presented in this paper.
依据多结点样条函数插值理论，定义了模式函数，给出了数据分解过程。
EMD method is a new method for analyzing nonlinear and non-stationary data, which has more advantage than wavelet analysis, and it can process short time series precisely.
EMD方法是对非平稳、非线性信号进行分析的一种新的时频分析方法。它比小波分析等方法具有更强的特性并能准确地处理非常短的数据序列。
However, the spontaneous EEG signals are very weak, noisy, and non-stationary signal, so efficient methods of EEG analysis is the core of BCI system.
然而，自发脑电信号非常弱，噪声大，而且是非平稳信号，因此合适的脑电信号分析研究方法是BCI系统的核心内容。
The non-stationary signal is widely distributed in the reality, such as audio, radar and sonar signals. Time-frequency analysis is an effective tool to process the non-stationary signals.
非平稳信号广泛存在于很多实际场合中，比如如语音、雷达和声纳中的线性调频信号，时频分析是处理非平稳信号的一个强有力的工具。
The newly emerged JTFA (Joint Time-Frequency Analysis) method is a powerful tool in analyzing time-varying non-stationary signals.
近年来才兴起的时-频联合分析法是分析处理频率随时间而改变的非稳态信号的强有力工具。
Seismic signal is a typical of non-stationary signal. Spectral decomposition in essence is a continuous time-frequency analysis of a seismic trace.
地震反射是典型的非平稳信号，地震谱分解实质上就是连续时频谱分析。
The main contents are as follows:1. As a powerful tool to analyze the non-stationary signals, the time-frequency analysis shows us clearly frequency varies with time.
主要内容包括：1、以时-频分析作为分析时变非平稳信号的有力工具，清楚地为我们描述了信号频率随时间变化的关系。
The space of prediction and application of non-stationary time series were expanded through the combined model of wavelet analysis, gray and time series prediction methods.
将小波分析理论、灰色预测理论和时间序列预测法组合进行需水量的预测，为原始非平稳时间序列的预测应用拓展了空间。
Since the oil analysis data were non-stationary and non-equal time-interval time se - ries in general, which were difficult to analyze.
由于油液分析数据通常是非平稳且非等时间间隔时序，给分析工作带来困难。
Since the oil analysis data were non-stationary and non-equal time-interval time se - ries in general, which were difficult to analyze.
由于油液分析数据通常是非平稳且非等时间间隔时序，给分析工作带来困难。
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