Study the international research in the field, it has used surface acoustic wave device or switched-capacitor circuits to realize wavelet transform and its reconstruction devices.
从目前国内外对该领域的研究状况来看，已经有应用声表面波器件及开关电容电路进行小波变换及重构器件的实现。
The paper introduces the definition of wavelet transform and its properties. Especially the philosophy for zero-crossing wavelet and how it can be used in seismic prospecting are presented.
介绍了小波变换的定义及小波变换的性质，特别介绍了零通小波的理论及其如何在地震勘探资料处理中的应用。
Wavelet transform involves the two-variate function of frequency and time, which makes it convenient to simultaneously compensate for attenuation of seismic energy in frequency and time domains.
小波变换作为频率和时间的二元函数，使之可以很方便地在频率和时间域中同时进行地震波能量的吸收衰减补偿。
Many results show a fact that, compared with traditional DCT transform, wavelet transform has a great advantage, and it will surely be broadly used in video compression.
文中的大量实验结果表明，小波变换同传统的DCT变换相比较有很大的优越性，在视频压缩中也必将取得更广泛的应用。
As a new signal processing method, wavelet transform has been widely used on DSP, for it can analyze signal with multi-resolution and has efficient algorithm.
小波变换作为一种新型的信号处理方法，因其可以对信号进行多分辨率分析并有高效算法，所以在DSP上得到了广泛应用。
In the paper, the way of detection of signal based on wavelet transform is researched, it analyses and processes signal of the various frequency at different scales.
对基于小波变换的信号检测方法进行了深入的研究，在不同尺度上分析和处理信号的各种频率成份。
Using technology of digit image processing and method of wavelet transform, in order to detect the edge of number of tire type, it is important information for tire detecting automation.
采用数字图像处理技术，应用小波变换方法，实现了轮胎图像中空心型号文字的提取，可作为轮胎分检自动化的一个重要控制信息。
Wavelet transform is a powerful tool for the analysis of the geophysical data. Therefore it is important to develop the program of wavelet analysis and its application.
小波变换是地球物理数据分析的有力工具，研制小波分析应用程序系统并将其广泛地应用于实际的资料处理和分析，尤其重要。
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.
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。
In order to measure signal exactly, we use Wavelet Transform to identify and disposal the pulse signal. It gave a reasonable application of NI Measurement Studio.
为了对检测对象进行精确的测量，采用了小波变换方法对脉搏信号进行识别和处理。
The image edge and noise can be distinguished by changing scale of wavelet transform, and the adverse effect noise is able to be reduced. It is benefit to improve the accuracy of segment.
通过改变小波变换的尺度，可以将边缘与噪声区分开来，减小图像分割中噪声带来的影响，有利于提高分割的准确性。
It was different from commonly used high resolution process, wavelet transform could improve the resolution of seismic recording and effectively avoid the interference of noise.
与常用的高分辨率处理技术不同，小波分频处理方法在提高地震记录分辨率的同时，还可以有效地压制噪音的干扰。
Aiming at the questions of pump-jack fault diagnosis method backward and diagnosis information lack of, it is proposed a kind of wavelet transform based neural network fault diagnosis system.
针对油田抽油机井故障诊断方法较落后和故障信息采集不充分的问题，提出一种小波变换基神经网络故障诊断系统。
It is pointed out that the time domain method is a special case of those two methods and it is more efficient than those methods based on wavelet transform in case of obtaining the same result.
指出时域法是这两种方法的一种特例，并且具有更高的效率及相同的结果。
It can be applied in studying the property of any basic wavelet and learning the theory on the wavelet transform, and also in making some engineering signal analysis.
它即可用于对母小波的研究和对小波理论的学习，也可用于一些工程信号分析。
Experiment indicates that it is feasible to apply wavelet transform to the signal processing in radiation temperature measuring and filtering is satisfactory.
论文通过实验证明将小波变换技术应用于辐射测温技术的信号处理是可行的，并且取得了很好的滤波效果。
In the real time experimentation for pitch detection of audio signal, the algorithm ensures the optimal scale and extracts the maximum of wavelet transform, and it has achieved a better result.
在音频信号的实时基频检测实验中，该算法较准确地定位最佳尺度和极大值点，取得了较好的基频提取结果。
Then it discusses several transform methods, such as continuous wavelet transform, discrete wavelet transform and wavelet packet transform of which characteristics are analyzed.
然后探讨了连续小波变换、离散小波变换、小波包变换等小波理论中几种重要的变换方法，分析了这几种小波变换的时频特性。
In this paper, it is studied to compress image with wavelet transform, and the application of Set Patitioning in Hierarchial Trees (SPIHT) in image process is researched.
本文主要研究小波变换在图像压缩中的应用，分析研究等级树集合分割算法(SPIHT)。
Based on the shortcoming of wavelet transform that it can't analyze the relations between spectra and contents, a method based on rough set is presented.
针对小波变换无法利用光谱数据与组份含量之间关系来压缩数据的缺点，提出了基于粗糙集的进一步数据约简方法。
An adaptive speckle filtering algorithm is proposed. It detects image points belonging to edge based on wavelet transform. Speckle are filtered according to detect results and multi-look.
提出了一种自适应斑点滤波算法，它基于小波变换检测图像中的边缘点，根据检测结果结合多视处理实现斑点滤波。
Recently, it is still a hot point and focus of image processing. In this paper, a method of image segmentation based on wavelet transform is discussed.
近年来，对图像分割的研究一直是图像技术研究中的热点和焦点。
Wavelet transform demonstrates that abiotic factors' impact change with spatial scale, confirming a scale-dependent relationship between NDVI and factors that influence it.
本文通过多尺度分解途径分析了NDVI与环境因子如地形与气候之间的空间尺度依存关系。
The first is based on ridgelet transform, it inherits the advantage of wavelet ICA and can improved the separation performance for the mixed images with notable line feature.
该算法保留了小波ICA的特点，同时由于脊波可以有效表述直线的特性，提高了具有明显线特征的混合图像的分离精度。
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.
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.
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。
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