文章提出了基于离散平稳小波变换和最佳阈值分割算法的织物疵点边缘检测方法。
This paper proposed a method for fabric defects edge detection based on discrete stationary wavelet transform (DSWT) and optimal threshold segmentation algorithm (OTSA).
文章深入分析了高光谱遥感数据中噪声的特点，提出了一种基于平稳小波变换的改进小波滤噪算法。
This paper analyzed the characteristic of noise in hyperspectral data deeply, and puts forward a de-noising method based on stationary discrete wavelet transform (SDWT).
由于小波变换有效地克服了傅氏变换在处理非平稳的复杂信号时所存在的局限性，因而在图像与信号处理领域受到了广泛的重视。
Due to wavelet transforms efficiently overcoming the limitations of Fourier transform in dealing with unstable and complicated signal, they are popular in image compression and signal processing.
构造了正交小波变换矩阵，分析了平稳模型和非平稳模型下正交小波变换的残余相关特性。
Orthogonal wavelet transform (OWT) matrix is constructed and the residual correlation property of OWT is analyzed under the stationary and nonstationary models.
研究结果表明，小波变换是分析非平稳随机时间序列的有效工具，在水文水资源领域应用潜力很大。
The results indicate that the wavelet transform is an effective tool for nonstationary stochastic series analysis, which has great potential in hydrology and water resources research.
对线性叠加在中值系列中的平稳随机噪声，用默认软阈值小波消噪平滑中值序列中的随机噪声分量。
As for the stable stochastic noise component linearly superposed on the median series, it is smoothed by means of the default soft threshold wavelet de-noising.
地震动是由于地震引起的地面运动，其时间历程函数表现为具有突变特征的非平稳随机过程，因此更适于利用小波变换进行频谱分析。
The ground motion time function is a kind of time serial signals, which is a highly varying and nonstationary randow procedure and fit for wavelet analysis.
应用小波分析研究了外循环反应器浓度波这类非平稳拟周期信号的特征。
The characteristic of the concentration wave in the RTD of out-circular reactor, which is a nonstationary quasi-periodic signal, has been investigated with wavelet analysis.
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.
介绍了小波变换的基本概念和滤波特性，给出了小波变换作为一种新的分析工具在非平稳信号分析中的应用方法。
The concepts and its filter of wavelet transform are introduced, the application of wavelet as a kind of new analysis tools in unstable signal analysis is presented.
在实际检测中，磁记忆信号属于随机信号、不具有平稳性，宜采用小波技术分析磁记忆信号。
In actual testing, magnetic memory signal belongs to random signal without stationarity, adjusting adopting wavelet technique to analyze magnetic memory signal.
提出基于小波尺度图重分配的信号瞬态特征检测方法和瞬时能量估计方法，并应用于轴承在多种轻微故障状况下的振动非平稳特征的检测与表示。
The singal transient feature detection represent method, and a transient energy evaluation method are used based on the reassigned scalogram for the vibration non-stationary feature representation.
对此，本文研究了一种非平稳环境下基于小波变换的信号去噪算法。
This algorithm can overcome the deficiency of the conventional algorithms of noise reduction, which were only efficient for stationary environments and have large level of signal residual noise.
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.
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.
针对轴承振动的非平稳性特点和频谱成分的混杂性，提出了基于小波的信号自适应阈值降噪法。
Base on that, the application of wavelet transformation in fault diagnosis to analyse nonstationarity of roller bearing vibration signals with Daubieches wavelet is introduced.
针对三缸往复泵测量信号非平稳时变特点，研究了用小波消噪方法提取反映往复泵动力端状态的振动波形特征。
With a view to time_varying characteristic of the vibration signal measured on triplex reciprocating pump, an approach on the waveform feature extraction which reflects th...
结果表明，重分配的小波尺度图能够以较高的时频分辨率表示轴承振动中的非平稳特征，反映轴承的多种故障，瞬时能量估计可以作为分析轴承状态的依据。
Results show that the reassigned scalogram has the signal feature in the time-scale plane with the high resolution, the transient energy evaluation has the transient feature in a more distinct as…
结果表明，重分配的小波尺度图能够以较高的时频分辨率表示轴承振动中的非平稳特征，反映轴承的多种故障，瞬时能量估计可以作为分析轴承状态的依据。
Results show that the reassigned scalogram has the signal feature in the time-scale plane with the high resolution, the transient energy evaluation has the transient feature in a more distinct as…
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