作为一种日益获得广泛应用的信号处理新技术，小波分析具有良好的时频局域化特性，适应于时变和瞬变信号的分析。
As a new technique of signal processing, wavelet analysis has excellent characteristics of time frequency localization and is suitable for analyzing time varying or transient signals.
小波分析处理车辆振动响应信号，可有效降噪，通过路面反映谱分析路面不平度。
Vibration response signals of vehicle are processed with wavelet analysis to reduce noise efficiently, and road surface roughness is analyzed by road response spectrum.
小波分析是一种日益获得广泛应用的信号处理新技术，它具有良好的时-频局部化特性，因而非常适于分析瞬态或时变信号。
Wavelet analysis, as a new technique of signal processing, possesses excellent characteristic of time-frequency localization and is suitable for analysing the time-varying or transient signals.
采用小波分析方法对胎儿心音信号进行处理是一种尝试，得到的结果基本上令人满意。
Adopt wavelet transform to analysis and process the signal of heartbeat sound is a kind of trail, and the result that get is basic to ascend to give satisfaction.
小波分析有良好的时-频局部化性能，现被广泛应用于数字信号和图像处理等领域，但其在处理有限长信号时的实时性不太理想。
Wavelet analysis is widely used in digital signal and image fields because of its good time frequency localization feature, but it doesn't do well in timely processing of long signals.
针对结构承受荷载的不确定性以及响应信号的随机性，运用小波分析对振动信号进行采集处理，避免了观测溢出。
In view of the uncertainty of the load and the randomness of the response signal, the wavelet analysis is used to process the collection of vibration signals, so as to avoid the observation overflow.
小波框架理论是信号处理的一种有效工具，目前已经广泛应用于小波分析、信号分析、图像处理数值计算等理论和应用领域。
Frame theory is one of efficient tools in the signal processing. At present frame theories have been widely used in wavelet analysis, image processing, numerical analysis, etc.
该报告结合现代信号处理领域的小波分析方法，对卫星和射电源vlbi观测信号的相关处理进行了小波方法研究。
With wavelet method of modern signal process domain, the report carries out researching into wavelet method of correlation process of VLBI of satellite and radio resource.
研究小波分析在机械工程信号处理中的应用，提出通过二进小波变换检测信号奇异点的实用技术。
The application of wavelet theory in signal processing in mechanical engineering field is also discussed and a practical technique for signal singularity detection is proposed.
设计信号预处理模块，采用傅里叶变换、小波分析等方法，对光谱信号进行滤波处理。
Design the signal pre-treatment model and make use of such methods as Fourier transfer and wavelet analysis, etc to perform filtering treatment for spectrum signals.
小波分析已经广泛应用于理论数学、应用数学、信号处理、语音识别与合成、自动控制和图像处理与分析等领域。
The wavelet analysis is applying widely to pure mathematics, applied mathematics, signal processing, speech recognition and synthesis, automation processing and image analysis etc.
但目前小波分析处理超声检测信号的应用领域还很有限，并且应用过程中没有考虑最优小波基的选取问题。
But now the field is finite that wavelet analyses is used in the ultrasonic testing signal processing, and the problem of selecting the best wavelet didn't be considered in the application of wavelet.
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.
通过分析各分信号的标准差，确立了小波分析标准，为胎儿心率信号的消噪处理提供参照。
Establishment a standard of wavelet analysis by analysis standard deviation of every sub-signal, handles to provide to according to the de-noising of the fetal heart rate signal.
针对小波分析在信号处理方面的特殊优势，提出以小波频带能量分析的方法来提取故障诊断的特征值。
Because of the special advantages of wavelet analysis in signal processing, the paper puts forward the energy band wavelet analysis method to extract the eigenvalues of fault diagnosis.
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。
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.
鉴于传统信号处理方法的局限性，小波分析以其具备时频局部特性，成为解决此类问题的一个重要方法。
The wavelet analysis is a key method to solve this kind of the problem because of its unique time-frequency localization characteristic, compared with traditional methods.
小波分析被誉为数学显微镜，其多分辨率分析和良好的时频分析能力为信号处理提供了新的有力工具。
Wavelet analysis is known as mathematical microscope, the multi-resolution analysis and a good ability of time-frequency analysis provides a new powerful tool for the signal processing.
针对地震波信号白勺特点，提出了基于FFT和小波分析白勺包括去噪、滤波和数据压缩白勺数字信号处理算法。
According to the characteristics of the seismic data, some data processing algorithms based on FFT and wavelet for denoising, filtering and data compression is put forward.
针对地震波信号白勺特点，提出了基于FFT和小波分析白勺包括去噪、滤波和数据压缩白勺数字信号处理算法。
According to the characteristics of the seismic data, some data processing algorithms based on FFT and wavelet for denoising, filtering and data compression is put forward.
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