The realization process comprises the following steps: (1) extracting grey level value characteristic, grey level co-occurrence characteristic or wavelet characteristic from an image to be segmented;
其实现过程是：（1）对待分割图像提取灰度值特征，灰度共生特征或小波特征；
Applying wavelet denoise to improve the test signal, the dynamic characteristic parameters of a overflow valve were obtained by selecting characteristic point of the signal.
此系统应用小波降噪的方法提高测试信号的质量，然后提取信号特征点，得到溢流阀动态特性的各项参数。
The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.
该方法首先利用小波变换和主成分分析对故障信号进行预处理，然后用处理后的故障特征数据对小波神经网络进行训练和测试。
Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。
The paper, by using the transform characteristic of Wavelet, mainly studies the method for image data compression in order to search for the new way of high proportion, high quality image compression.
小波变换是一个新兴数学分支，本文利用小波变换的特性研究图象数据压缩方法，以探寻高比例、高质量压缩图象数据的新途径。
This paper analyzed the characteristic of noise in hyperspectral data deeply, and puts forward a de-noising method based on stationary discrete wavelet transform (SDWT).
文章深入分析了高光谱遥感数据中噪声的特点，提出了一种基于平稳小波变换的改进小波滤噪算法。
Based on the introduction of wavelet packet and characteristic entropy, a new method to diagnosis fault for high voltage circuit breakers is presented, and its steps and analysis are also introduced.
在详细介绍小波包与特征熵的基础上，将二者结合提出了一种诊断高压断路器机械故障的新方法，并给出了切实可行的诊断步骤和分析。
Base on wavelet denoising theory as well as the characteristic of the signal, a wavelet denoising method applied to Strapdown north seeking system was proposed.
文章基于小波变换的消噪原理，结合待测信号的特点，创造性地提出一种适用于捷联寻北仪的小波消噪法。
Wavelet analysis, also called wavelet transform, is a new analysis method with good time frequency localization characteristic, so it is suitable for fault analysis of power system.
小波分析(或称小波变换)是一种新的时频分析方法，它具有良好的时频局部化特性，适用于电力系统故障分析。
Based on the dynamic and stochastic characteristic of short-term traffic volume, an approach combined wavelet analysis and fuzzy Markov forecasting model is put forward.
基于短时交通量时间序列的随机波动特征，提出一种小波分析和模糊马尔柯夫结合的预测方法。
According to the characteristic of shaft-rate electric field of ships, the recognition and classification methods of ship targets based on wavelet transform and neural network were proposed.
根据舰船轴频电场信号的特点，提出了基于小波变换和神经网络的目标识别和分类方法。
In allusion to the characteristic that Geocentric motion is piled up by several periodic motions, the spectral analysis by wavelet and ar were discussed in turn in this paper.
针对地球质心运动主要是由多种周期运动叠加的特点，依次讨论了谱分析方法中的AR模型谱分析和小波谱分析方法。
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。
Wavelet analysis, as a new technique of signal processing, possesses excellent characteristic of time-frequency localization and is suitable for analysing the time-varying or transient signals.
小波分析是一种日益获得广泛应用的信号处理新技术，它具有良好的时-频局部化特性，因而非常适于分析瞬态或时变信号。
The characteristic frequency band of the fault can be identified by wavelet packet decomposition and its energy spectrum conveniently, and the quantification analysis are then performed.
应用小波包分解及其能量谱直观地识别出故障的特征频带，并进行了量化分析。
Wavelet transform possesses excellent characteristic of time frequency localization, and provides an effective measure for analysing signal causing unstable vibration.
小波变换具有很好的时域和频域局部化特性，为以非稳态振动为特征的信号提供了有效的分析手段。
The characteristic frequency band of the fault could be identified by wavelet packet decomposition and its energy spectrum conveniently, at the same time, quantification analysis were performed.
应用小波包分解及其能量谱直观地识别出故障的特征频带，并进行了量化分析。
The zero-crossing of the wavelet transform of the normal person pulse-wave is found out as a fact that its the wavelet transform coefficients correspond strictly to its time field characteristic.
分析了正常的人脉搏信号的小波域特征，发现脉搏信号的时域特点严格对应于其小波变换的过零点。
A new remote sensing image coding scheme based on the biorthogonal wavelet transform and SPIHT algorithm is proposed according to the statistical characteristic of remote sensing image data.
针对遥感图像的数据特点，提出了结合双正交变换和SPIHT算法的遥感图像小波零树编码方案。
After noise reduction in the signal, using "wavelet packet-energy" to extract the characteristic vector and input them to the neural network for fault identification.
在对采集到的信号降噪后，利用“小波包-能量”法提取特征量，并将其输入到神经网络中进行故障识别。
The characteristic of the concentration wave in the RTD of out-circular reactor, which is a nonstationary quasi-periodic signal, has been investigated with wavelet analysis.
应用小波分析研究了外循环反应器浓度波这类非平稳拟周期信号的特征。
Due to different wavelet threshold fit for different characteristic of signal, various wavelet de-noise threshold was used to decline the harmonics of signal and the best threshold was chosen.
由于在小波降噪中不同的阈值适应的信号特征不同，采用多种小波阈值对城市轨道交通牵引供电系统谐波信号进行降噪，并从中选择了最优的降噪阈值，达到对信号的优化处理。
In order to improve the recognition effect and on the basis of analyzing the characteristic of MSTAR SAR image, a method of discrete wavelet analysis is proposed to extract features.
为了进一步提高MSTARSAR目标的识别效果，在分析了MSTAR SAR图像特点的基础上，提出了一种利用离散小波分解提取目标特征的方法。
Wavelet packet analysis to extract vibration signal characteristic frequency, Use serial programming examples matlab GUI implementation, Since writing the curvature calculation function.
小波包分析提取振动信号中的特征频率，利用matlabGUI实现的串口编程例子，自写曲率计算函数。
Electromagneic characteristic of the interturn short circuit in turbo-generator rotor windings is analyzed. And a method of fault detection and diagnosis based on wavelet transform is presented.
分析了汽轮发电机发生转子绕组匝间短路故障时的电磁特性，提出了基于小波分析的故障检测与诊断方法。
The multi-scale coherent eddy structure in turbulent boundary layer is detected through taking multi-scale wavelet coefficient of stream velocity component signal as characteristic quantity.
用流向速度分量信号的多尺度子波系数作为特征量检测平板湍流边界层多尺度相干结构。
The method adopts redundant wavelet, which is called wavelet frame, to decompose and then to achieve the characteristic description of stability and translational constancy.
本文提出一种新的多分辨率纹理分类方法，该方法采用称为小波帧的冗余小波分解，从而获得具有稳定性和平移不变性的特征描述。
A new method to diagnose faults for high voltage circuit breakers is presented in the paper based on the introduction of wavelet packet and characteristic entropy.
在详细介绍小波包与特征熵的基础上，将二者结合提出了一种诊断高压断路器机械故障的新方法，并给出了切实可行的诊断步骤和分析。
The complex wavelet functions constructed by means of this method have advantages of good performance in frequency localization and better veracity in extracting characteristic parts of signals.
该方法构造的复值小波具有频率局部化性能好、取故障信号特征分量较准确的优点。
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.
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。
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