脑电信号是极其复杂的非平稳信号。
语音信号是一种典型的非平稳信号。
The speech signal is a kind of typical non-stationary signal.
介绍了非平稳信号时频联合分析中的重排方法。
A reassignment method for nonstationary time-frequency joint analysis is introduced.
该方法可用于复杂的非线性、非平稳信号的处理。
This method can analyze complicated non-stationary nonlinear signal.
跳频信号是典型的非平稳信号，必须采用非平稳信号处理方法。
Frequency-Hopping signal is a typical nonstationary signal and must adopt nonstationary signal processing methods.
它可统一处理滤波、平滑和预报问题，且可处理非平稳信号和噪声。
It can handle the filtering, smoothing and prediction problems in a unified framework, and can handle nonstationary signals and noises.
野外采集的地震信号是多种波的复合体，是一种时变的非平稳信号。
The seismic signal acquired in the field is a complex of different waves and a time variant non stationary signal.
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。
Seismic signal is a typical of non-stationary signal. Spectral decomposition in essence is a continuous time-frequency analysis of a seismic trace.
研究了一类非平稳信号具有随机幅度的多项式相位信号的时延估计问题。
A parameter estimation method of polynomial phase signals is studied in this paper.
心电信号是一种微弱低频的非平稳信号，具有随机性和噪声背景强等特点。
ECG signal is a weak low frequency non-stationary signal, and possessing random character and noisy setting strong character.
实验结果表明，该法是分析处理具有时变谱特性的非平稳信号的一种有效方法。
Experiments show that the technique is effective for processing unstable signals of time-variation spectra.
针对时频平面不可分离的相干非平稳信号，提出了基于对称阵列的解相干方法。
DOA estimation method of nonstationary radar signals is proposed by time-frequency analysis method and Joint-block diagonalization method.
时频分析作为分析时变非平稳信号的有力工具，成为现代信号处理研究的一个热点。
Now, Time-Frequency Analysis is one of the top interests in Signal Processing, and more and more research has been put on this topic.
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。
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.
微波干涉仪混频输出的多普勒信号是一个非平稳信号，其瞬时频率随着时间的变化而变化。
The doppler signal that is mixed and exported by microwave interferometer is a non-stationary signal, its instantaneous frequency is changing time variant.
移动的修正周期图谱估计方法在实时处理和非平稳信号处理的场合中是常用的一种有效方法。
To modify periodogram by moving is a useful and effective method for either real time signal processing or non-stable signal processing.
尽管人们经常面临大量的非平稳信号，受理论条件的限制，人们不得不将非平稳假设为平稳。
Though many nonstationary signals are encountered, the scholars have to suppose that all signals are stationary.
在考虑多通道非平稳信号干扰及背景噪声的情况下，提出了基于自适应参数型时间延时估计方法。
Taking into account the multi channels disturbance and noises with the non stationary characteristic, time delay estimation based on adaptive parametric approach is proposed.
这种方法将一个复杂的非线性非平稳信号逐级分解成若干平稳的数据层与剩余的最终趋势项的叠加。
This method will gradually decompose a complex nonlinear and non-stationary signal into some stable data layers and the remaining final trend.
系统可以分析平稳信号和非平稳信号，实现了实时地在时间域、频率域内了解机组运行状态的功能。
Both stationary and non-stationary signals are suitable to be analyzed by the system. The running state of generator set can be real-time observed in both time domain and domain.
由于语音信号是准周期的非平稳信号 ，因此按频带对含噪语音信号实现信噪分离是语音消噪的?。
Thus the noise parts during the frequency intervals that decrease hearing quality mostly are reduced efficiently, and the SNR of denoised speech are increased.
基于动力系统模型的局部投影非线性降噪算法，对混沌信号和一大类非平稳信号具有明显的降噪效果。
The algorithm of local projective nonlinear noise reduction based on nonlinear dynamic system is more effective for noise reduction of chaotic signal and non-stationary signals.
非平稳信号作为现实生活中普遍存在的信号形式，其分析处理在现代信号处理中占有特殊重要的地位。
The analysis methods of nonstationary signals, which are widely exist in our real life, play an important role in modern signal processing.
针对旋转机械非平稳信号的特点，提出采用谐波小波滤波对现场采集的振动信号进行故障诊断的新方法。
A new method of fault diagnosis of in-situ sampled vibration signals is introduced for the non-stationery signals of rotating machines by using the harmonic wavelet filtering.
而小波具有“变焦距”特性，在时域和频域中具有良好的局部分析能力，适合于超声等非平稳信号处理。
The wavelet transform has a good performance of local analyzing in both time domain and frequency domain. It is fit for analyzing non-stationary signals, such as ultrasonic signal.
由于离心泵故障振动信号是非平稳信号，因此有必要选择恰当的适合于非平稳信号分析的信号处理方法。
Because the signal of failure centrifugal pumps are a non-stationary signal, so it is necessary to select the appropriate signal processing method which is suitable for non-stationary signal.
实验结果表明，算法可以很好地跟踪非平稳信号，采用该方法预测带嗓的陀螺漂移信号精度有明显提高。
The experimentation result indicate, this arithmetic can tracing the non-stationary signal well, adoption this method to forecast the gyro's drift signal which include yawp sig…
实验结果表明，小波变换的多分辨率分析对于分析处理具有时变谱特性的非平稳信号是一种新的有效方法。
Experiments show that the multiresolution analysis of wavelet transform is an effective new method for processing unstable signals having time variant spectra.
实验结果表明，小波变换的多分辨率分析对于分析处理具有时变谱特性的非平稳信号是一种新的有效方法。
Experiments show that the multiresolution analysis of wavelet transform is an effective new method for processing unstable signals having time variant spectra.
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