Based on wavelet decomposition and cepstrum technology, an audio watermarking algorithm was proposed in which the low-frequency wavelet coefficients were chosen for cepstrum transforming.
提出了一种基于小波分解和倒谱技术的音频数字水印算法，该算法通过对原始音频进行小波多级分解，从中选取低频系数进行倒谱变换。
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.
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。
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。
This paper introduces the image block segmentation into the multi-focus image fusion, and USES wavelet spatial frequency as the multi-focus image clarity indicator.
本文将图像块分割引入多聚焦图像融合中，以小波空间频率作为多聚焦图像的清晰度指标。
EMD similars the wavelet transforms, the decomposition result is from high frequency to the low frequency distribution, namely the noise mainly concentrates in first several.
经验模式分解的主要思想类似小波变换，分解结果是由高频到低频分布的，即噪声主要集中在前几层。
Time frequency analysis method is used to analyze the time domain and frequency domain of seismic waves at the same time according to the principle of wavelet transformation.
时频分析方法是利用小波变换原理，从地震波的时间域和频率域同时对其作出分析。
For the image high-frequency part, use the new evaluation factor - wavelet neighborhood information to choose the ultimate wavelet high-frequency coefficients.
使用由方差和平均梯度构造的新的评价因子——小波邻域信息量作为融合规则选取小波高频系数。
Calculates the setting range of each parameter in theory, and proves the method of wavelet transformation has higher frequency resolution than the method of FFT.
从理论上计算各个参数的设置范围，并且证明小波变换方法比FFT方法有较高的频率分辨率。
The homogeneity of the sheet is analyzed by image transform, i. e. the spatial domain image is transformed to frequency domain or wavelet domain to obtain the features.
对于纸页的均匀性分析，通过图像变换，将空间域图像变换到频域或小波域进行分析，获取其特征；
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.
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。
A novel method of pattern recognition and fault diagnosis in electrical machine based on the wavelet-neural network is proposed according to the frequency spectrum characteristics of vibration signal.
针对电机振动信号的频谱特点，提出基于小波神经网络技术的电机故障模式识别与诊断的新方法。
Probing to characters of subsidence series, we study on application of polynomial regression, wavelet denoising and frequency analysis on subsidence series processing.
针对沉降数据序列的特征，研究了多项式回归方法、小波降噪方法、频谱分析法在沉降数据处理中的应用。
Having good time-frequency localization character, and correctly identifying singularity point in fault signal, Wavelet is the main analysis method in this paper.
小波变换具有良好的时频局部性，具有变焦距的特点，对故障信号中的奇异点能够准确识别，是论文中应用的主要分析方法。
The relationship between wavelet ridge and instantaneous frequency is analyzed and a new method of the mechanical characteristic test of the wiper motor based on wavelet ridge algorithm is proposed.
分析了小波脊线与信号瞬时频率的关系，提出了基于小波脊线的刮水器电动机机械特性测试新方法。
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。
The traditional pitch detection algorithm based on wavelet transform extracts the fundamental frequency by comparing the positions of maximum wavelet coefficients of continuous scales.
传统的小波变换基频检测通过比较相邻尺度上的小波系数极值点来进行检测。
According to local gradient information, wavelet low frequency coefficient obtained from source image is selected to compose respective low frequency coefficient of the fused image.
根据局部梯度信息对源图像的小波低频系数进行选择，获取融合图像的对应低频系数。
In order to accurately distinguish the origins bringing about abrupt changes in sensor output, a method is presented for wavelet frequency analysis based on mathematical model.
为了准确区分传感器突变信号产生的原因，提出了基于数学模型的小波频带分析法。
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.
小波包变换能作为一种有效工具对信号特性进行精细分析，同时提供具有良好时频局部性的正交小波包基。
This paper mainly introduces that the fault vibrating signal of gears was decomposed into time-frequency domains by double-orthogonal wavelet analysis and the fault feature of gears was picked up.
利用双正交小波基将齿轮的故障振动信号分解到时频域，并提取出齿轮的故障特征。
Filtering algorithms base on space, frequency, wavelet and time have been introduced to reduce noises caused by environmental and lighting conditions in the video image sequences.
针对视频图像存在由于环境、光照等原因所引起的噪声的特点，应用基于空间域、频域、小波域和时域等多种去噪方法。
Pressure data were analyzed by wavelet transform in wavelet domain. Frequency band energy spectrum and intensity index of ISW based on wavelet coefficient were obtained.
通过基于子波的分析方法，对压力数据进行了分析，获得了基于子波系数的频带能量谱和冲击波强度指数。
Signals of cutting force and vibration are measured with multi-sensor and features in frequency domain and time-frequency domain are extracted by using wavelet package decomposition.
利用多传感器对切削力和振动信号进行监测，通过频率变换提取切削力特征量，采用小波包分解技术提取振动信号特征量。
The main parameters that effect horizontal resolution of migration imaging were identified as medium velocity, dominant frequency of seismic wavelet and aperture Angle of migration processing.
结果表明，影响偏移成像水平分辨率的主要参数是介质速度、地震子波主频和偏移处理的孔径角。
Because the wavelet has time-frequency local property, the wavelet method can analyze the local regularity of function more effectively than frequency domain.
由于小波具有时频局部性，因此与频域方法相比，小波方法更能有效地分析函数的局部正则性。
According to features of power quality disturbance signal, this paper detects the disturbance signals of high-frequency, transient impulse and voltage notch with wavelet transforming.
针对电能质量扰动信号的特性，本文采用小波变换对电力系统的高频、瞬时脉冲、电压切痕扰动信号进行检测。
Based on the theory of signal strangeness detect, the maxima modulus in high frequency of wavelet resolving can be used as a criterion to classify steady and non-steady state phenomena.
基于信号的奇异性检测理论，利用小波分解的高频系数是否具有模极大值作为区分稳态和非稳态现象的判据。
According to the method, the energy of different frequency bands after wavelet packet decomposition constitutes the input vectors of support vector machine as feature vectors.
该方法将振动信号小波包分解后的频带能量作为特征向量，输入到由多个支持向量机构成的多故障分类器中进行故障识别和分类。
Finally, the initial threshold is identified and relation matrix is constructed, and the wavelet coefficients of the high frequency subbands are encoded progressively by using relation matrix.
首先确定初始阈值，并构造小波系数的关系矩阵，然后结合关系矩阵对高频子带系数进行逐次逼近量化编码。
Finally, the initial threshold is identified and relation matrix is constructed, and the wavelet coefficients of the high frequency subbands are encoded progressively by using relation matrix.
首先确定初始阈值，并构造小波系数的关系矩阵，然后结合关系矩阵对高频子带系数进行逐次逼近量化编码。
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