• Applying median filtering will effectively reduce the impulse noise, which can combine wavelet packet transform and median filter.

    子波变换中值滤波相结合可以有效地降低图像噪声。

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  • In traditional denoising methods for signals, we usually use the method of threshold to achieve denoising by the threshold disposing of wavelet packet transform.

    传统信号方法采用门限噪声信号小波或小波变换做处理达到去噪的目的。

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  • Wavelet packet theory is employed to adaptive multiuser detection, and wavelet packet transform based adaptive multiuser detection algorithm is presented in this paper.

    分析传统自适应用户检测的基础上,提出了一种基于小波变换的自适应多用户检测算法

    youdao

  • The paper introduces a method of using multisensor to detect running state and using the wavelet packet transform to analyse the signals. In the ends the character frequ…

    介绍采用多传感器对采煤机运行状态进行监测通过监测信号进行分析,得到其特征频率信息,以达到对早期故障的预测。

    youdao

  • This paper achieves noise reduction by using wavelet packet transform, semisoft shrinkage function, Donoho standard deviation estimate and threshold obtain based on statistics.

    计算结果表明:变形统计与变形监测值吻合较好,统计复相关系数较大,估计标准误差较小

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  • Then it discusses several transform methods, such as continuous wavelet transform, discrete wavelet transform and wavelet packet transform of which characteristics are analyzed.

    然后探讨了连续变换离散小波变换、小波变换小波理论中几种重要变换方法分析了几种小波变换的时频特性

    youdao

  • A feature extraction method of high-range-resolution radar profiles, which takes advantage of wavelet packet transform and modified SVD (singular value decomposition) was proposed.

    提出了基于小波变换改进奇异分解分辨雷达目标维距离像特征提取方法

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  • By using the method of wavelet packet transform on the big differential currents, extracting high-frequency coefficients of wavelet packet, to decide faults within or outside the buses.

    方法应用电流进行变换提取高频小波包系数判定区内区外故障

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  • Wavelet packet transform is used as an efficient tool for precisely analyzing signal property, and provides orthogonal wavelet packet bases with better time frequency localization function.

    变换能作为一种有效工具信号特性进行精细分析同时提供具有良好局部性正交小波包基

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  • By exploiting wavelet packet transform to analyze signals both in time and frequency space, this paper researches the statistic property of non-Gaussian stationary noise and its signal structure.

    该文利用小波变换局部分析能力,研究高斯分布平稳随机噪声统计特性,揭示了非高斯噪声信号信号结构。

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  • The vibrating signals collected from pump bearings by a velocity sensor were analyzed with short time Fourier transform(STFT), wavelet transform(WT) and wavelet packet transform(WPT) in the paper.

    磁电式速度传感器采集水泵轴承振动信号分别进行了短时傅立叶变换、小变换、小波变换。

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  • Firstly, Wavelet packet transform is introduced to extract features of vibration measured data and information fusion of data layer is conducted by assembling feature vectors of different sensors.

    首先应用小波变换结构振动测试数据进行特征提取通过不同传感器特征向量合成完成数据融合

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  • In this article, the linear magnitude predictor of wavelet packet decomposition coefficients, the creation algorithm of images characteristics based on wavelet packet transform have been introduced.

    该文建立自然图像分解系数绝对值线性预测模型提出基于小波包变换的图像特征形成算法

    youdao

  • In this article, the linear magnitude predictor of wavelet packet decomposition coefficients, the creation algorithm of images characteristics based on wavelet packet transform have been introduced.

    该文建立自然图像分解系数绝对值线性预测模型提出基于小波包变换的图像特征形成算法

    youdao

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