本文给出区间连续多小波包的定义和此多小波包的分解与重构算法。
The present paper presents the definition of continuous multi-wavelet packets on the interval and gives the decomposition and reconstruction algorithm for these multi-wavelet packets.
带插值小波包是根据基插值函数建立的迭代函数序列进行伸缩平移的空间序列。
M-band interpolatory wavelet packets is a sequence space spanned by dilation translates of a iterate function sequence obtained by a cardinal interpolation function.
小波包分解本身对信号的奇异点十分敏感，此特点可以用来跟踪电机振动速度信号。
Because the wavelet packet decomposition is very sensitive to signal of the strange point, this characteristics can be used to follow the velocity signal of motor vibration.
提出了基于小波包变换和改进奇异值分解的高分辨雷达目标一维距离像特征提取方法。
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.
为精确诊断旋转机械的故障，提出一种基于小波包特征向量的神经网络故障诊断方法。
To diagnose accurately the rotation machine fault, this paper presents a new method of fault diagnosis based on wavelet packet energy eigenvector and neural network.
从模式识别的观点对结构损伤识别进行了分析，分析了小波包信号能量特征提取的方法。
The structural damage recognition is studied with the mode identification method, and the method for drawing the wavelet package signal energy eigenvalue is analyzed.
提出了一种基于导频信号和最大似然信道估计算法的离散小波包调制(DWPM)系统。
Discrete Wavelet Packet Modulation (DWPM) System based on ML (Maximum Likelihood) algorithm and Optimum Pilot Symbol Assisted Modulation (OPSAM) is studied for Rayleigh Fading Channels.
从模式识别的观点对结构损伤识别进行了分析，分析了小波包信号能量特征提取的方法。
The structural damage recognition has been analyzed with mode identification method and the method for extracting the wavelet package signal energy eigenvalue has been analyzed.
在异步电机转子断条故障检测中，将原信号最优小波包分解，经自适应滤波后再信号重构。
During detection of asynchronous motor rotor-bar broken fault, the signal of current was reconstruct after decomposed by best wavelet packet and adaptive filtered.
小波包理论比小波分析更为复杂，但其分析手段更为灵活，具有更为精确的局部分析能力。
The theory of wavelet packet is more complex than the analysis of wavelet, but its means of analysis is more flexible, and has more accurate partial analysis ability.
为精确诊断水轮机尾水管涡带，该文提出一种基于小波包特征熵的神经网络故障诊断新方法。
To diagnose accurately vortex rope in draft tube of hydraulic turbine, this paper presents a new method of fault diagnosis based on wavelet packet and neural network.
首先将所得的结构响应信号进行小波包分解，然后通过小波包能量变化率指标进行损伤定位。
Dynamic signals measured from experiment beams are first decomposed into wavelet packet components, then wavelet energy rate index is computed and used to detect location of damage.
在时间平均小波谱和小波包能量法中，分别以各自确定的欧式距离作为后桥质量检测的阈值。
The methods of Time Averaged Wavelet Spectrum and Wavelet Packet Energy can respectively determine its own Euclidean distance as the only quality inspection threshold of the Rear Bridge.
最后，抽取小波包直方图作为特征表示并应用直方图相交距离从图像数据库中检索被查询图像。
Finally, the wavelet packet histogram is computed as feature signatures and histogram intersection distance is employed to retrieval queried image from image databases.
介绍了瞬时频率的概念和瞬态谱的小波包计算方法，并结合时间域模拟信号给出了其时频分布。
The conception of transient frequency and calculation method of wavelet packet are introduced, and time frequency distribution about simulation and actual seismic signals is given.
小波包分析具有优良的时频特性，可以有效地用于数字信号的消噪处理和对信号进行特征提取。
The wavelet packet theory has the good hour-frequency characteristic, it can be availably used for the noise suppression processing of the digital signal and withdrawing the signal characteristic.
传统信号去噪方法常采用门限法对噪声信号的小波或小波包变换做阈值处理以达到去噪的目的。
In traditional denoising methods for signals, we usually use the method of threshold to achieve denoising by the threshold disposing of wavelet packet transform.
在分析传统自适应多用户检测的基础上，提出了一种基于小波包变换的自适应多用户检测算法。
Wavelet packet theory is employed to adaptive multiuser detection, and wavelet packet transform based adaptive multiuser detection algorithm is presented in this paper.
最后，基于小波包理论将混沌模型预测的结果予以小波包重构，实现对系统特征参数序列的预测。
Finally, the forecasting results of chaotic models are reconstructed based on wavelet packet theory. By doing so, the forecasting of system feature reference data series can be made.
首先，将得到的结构响应信号进行小波包分解，然后通过小波包能量变化率指标来进行损伤定位。
Dynamic signals measured from experiment beams are first decomposed into wavelet packet components, then the wavelet energy rate index is computed and used to detect location of damage.
应用在时频空间皆具有良好聚焦特性的小波包，以适当频率带宽，对故障后暂态电气量进行分解。
Wavelet packets with the advantage of time frequency zoom is used in this paper to decompose the post fault transient electrical quantities by the proper frequency span.
提出了融合能量代价函数的概念及基于代价函数的小波包能量法，并将其应用于水声信号的识别。
The concept of fusing energy cost function and method based on the function are proposed, the method was used for the recognition of underwater acoustic signal.
对两幅图像低频波段的逼近系数取均值，对高频段选取绝对值大的小波包系数，得到融合系数矩阵。
Approximate coefficients in low frequency band of two images and the average over absolute wavelet packet coefficients of high frequency brand form a fused coefficients matrix.
对磁电式速度传感器采集的水泵轴承振动信号分别进行了短时傅立叶变换、小波变换、小波包变换。
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.
对于宽带噪声干扰，本文研究了小波包阈值方法，并将之应用到信号域和图像域来抑制宽带噪声干扰。
For wideband noise interferences, this dissertation studies wavelet packet threshold method and USES it to suppress wideband noise interferences in signal domain and image domain.
利用小波包多分辨率的特点，提出了以小波包信号成分能量特征向量为结构损伤识别的损伤特征指标。
The wavelet package signal component energy eigenvector was used as the damage index property of structural damage recognition according to the multiresolution trait of wavelet package.
本文将小波包变换用于非高斯噪声统计特性的研究，提出一种新的非高斯分布噪声下的信号检测算法。
In the dissertation, it puts wavelet-packet decomposition into the study on non-gaussian noise. It offers a new signal dection method under non-gaussian noise backgroud.
简要阐述了小波分析、小波包分析的基本原理，并在此基础上介绍了利用小波包给信号去噪的一般原理。
This paper briefly expounded the basic theory of wavelets and wavelet packet, and on the basis of using wavelet packet, introduced the general principles in vibration signal denoise.
小波包分解和神经网络相结合，能够检测孔洞缺陷的大小和位置，较好的实现了木材孔洞缺陷的定量检测。
Wavelet analysis and neural networks combine together, can examining the position and size of the hole defect, achieving wood defect quantitative testing.
该文建立了自然图像的小波包分解系数绝对值线性预测模型，提出了基于小波包变换的图像特征形成算法。
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.
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