wavelet

A design algorithm a of parallel wavelet fitter is given and proved.

提出和论述了并行小波滤波器的基本设计方案.

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Using the wavelet analysis method, the roundness is extracted from measurement signal after errors separation process.

研究了采用小波变换原理对传感器组采集信号局部特征进行分析和提取的方法.

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The principles and advantages of instantaneous frequency in wavelet domain are briefly discussed.

小波变换域瞬时频率分析方法是地震资料分析的重要工具.

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Via the threshold operation on wavelet packet transform of images, Gauss color noise can be better filtered, yet there is usually many impulse noise in the images.

通过对图像的子波包变换进行阈值操作，可以较好地滤除高斯白噪声，但图像中往往还含有脉冲噪声，运用中值滤波可以有效地滤除脉冲噪声。

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The results indicate that the wavelet analysis to some extent has advantages on climate prediction.

结果表明,小波分析在气候预测中具有一定的优越性.

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Four different threshold limit selecting methods are applied to choose the wavelet coefficient for signal recovering. A primary simulation experiment and some analyses are also done.

采用四种不同的阈值选择算法选取小波系数以恢复信号，并进行了初步的仿真实验和分析。

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The selection of threshold function and determination of decomposition level are two key steps in threshold-based nonlinear filtering by wavelet transform.

阈值函数选择和分解尺度确定是基于阈值的小波域非线性滤波的两个关键步骤。

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Two characteristic features of the wavelet analysis was applied in the CO _ 2 welding voltage control.

作者针对小波分析的特点,将其两个重要特性应用于电弧焊控制中.

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A threshold function was constructed in the digital signal processing theory based on wavelet analysis. The ambient electromagnetic noise was perfectly removed.

在小波分析的基础上建立阈值函数，利用阈值滤波对测试信号进行处理，完美的消除了环境电磁噪声的干扰。

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Application of improved wavelet threshold de-noising in turbulent signal processing

改进的小波阈值消噪法在湍流信号处理中的应用

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Based on wavelet multiresolution analysis theory, this paper proposes a novel method for data systems identification.

基于小波多分辨分析理论并结合面向控制的辨识思想, 提出一种多率采样系统分频段加权辨识方法.

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They are the method of wavelet transform filter, the method of soft or hard threshold noise reduction, and the method of modulus maximum value.

软、硬阈值消噪法；基于模极大值的小波去噪方法，进行了比较研究。

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This paper is to discuss the wavelet transform during processing.

目的:探讨在医学影像技术中小波变换的应用.

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After the inverse wavelet transform, temporal filter was applied video to enhance the denoising effect further.

小波逆变换后, 利用时间域滤波方法进一步提高降噪效果.

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A method for harmonic detectingpower system based on wavelet transform is proposed.

小波变换是一种变分辨率的时频联合分析方法,可以对时域和频域信号进行精确地分析.

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This paper discusses the relation between Fourier series and wavelet transform.

就傅氏级数和小波变换之间的关系进行较全面地讨论.

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A Family of Piecewise n-Degree Filter Functions of Wavelet Threshold Parameter

一族分段n次小波阈值参数滤波器函数

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Digital Watermarking Technique of Image Based on Visibility Threshold Model in Wavelet Transform Domain

基于小波域中视觉门限模型的数字水印技术

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First , the lifting quincunx wavelet transform is used to perform a multiscale decomposition of each image.

在提升五株形小波多尺度分解的基础上, 给出一种新的像素级图像融合方法.

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At the end, primary research the reproducing kernel applying in wavelet transform filter.

最后, 文中探讨了重建核方程在小波滤波中的应用.

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Wavelet package is introduced in this paper to adjust for design accelerogram in different scales.

提出了一种基于小波包对地震动在不同尺度上进行调整的方法.

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A method using wavelet approximation is used to remove the baseline wanders in electrocardiogram.

基线漂移采用了小波变换逼近信号进行滤除.

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Wavelet transform threshold noise reduction methods and the application in automatic rifle

小波变换阈值降噪方法及在武器自动机数据处理中的应用

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Wavelet soft threshold noise reduction method is adopted to process signals acquired on site, and denoising result is excellent.

分析了小波阈值消噪的原理和方法，采用小波软阈值消噪对在实际现场条件下的检测信号进行了处理，获得了良好的消噪效果，有效地提高了检测系统的检测灵敏度。

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Under Windows circumstance and by use of Visual C++ 6.0 program language, the wavelet packet filtering algorithm with soft threshold operation is realized.

在Windows环境下，采用Visual c++6.0编程实现了小波包软阈值算法。

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The wavelet network not only can compress data effectively but also can recover original signal.

实验结果显示,小波网络在大量压缩数据的同时,能够较好的恢复原有信号.

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The prospect about the application of triangle field with wavelet are proposed.

同时展望小波技术在三角域的应用.

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To conclude, have is given an example of analysing EEG signal using wavelet transform.

文中最后给出了小波分析检测脑电癫痫波的实例.

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Wavelet transform is a very useful tool of signal processing.

小波变换是用于信号多尺度表示的非常有用的工具.

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In course of signal reconstruction with best basis of wavelet packets, the signal has some loss.

采用最优小波包基进行信号重构的过程中, 信号有一定的损失.

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