Noise reduction with wavelet analysis used in phalange recognition of computerized skeletal age assessment system can enhance the precision of skeletal age assessment.
小波去噪声技术应用于计算机骨龄评价系统中的指骨识别能提高骨龄评价的准确度。
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。
The structural damage recognition is studied with the mode identification method, and the method for drawing the wavelet package signal energy eigenvalue is analyzed.
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。
Recently, many novel methods are applied in the facial expression recognition such as Artificial Neural Networks, Support Vector Machines, Wavelet Analysis, Hide Markov Model and Optical Flow, etc.
近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。
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.
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。
On the basis of the analysis of denoising and edge detection of vehicle recognition, this paper proposes an effective detection method based on anti-symmetrical wavelet.
在对车型识别去噪和边缘检测进行分析的基础上，提出了一种基于反对称小波的检测方法。
With the practical application of sonar image recognition, comparison and analysis have been done in the selection of several typical wavelet bases which are often used in the image processing.
通过在声纳图像识别中的实际应用，对图像处理中几种典型的小波基的选择进行了比较分析。
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 this paper, a new scheme of multiresolution recognition of unconstrained handwritten numerals based on dyadic wavelet transform and multilayer cluster neural network is presented.
提出一种基于二进小波变换与多层分组神经网络的自由手写体数字的多分辨率识别算法。
Regarding the fact that space target recognition is a challenging research problem, this paper proposes a space target recognition algorithm based on the two-dimensional wavelet transform.
对于空间目标识别这个具有挑战性的研究课题，提出了基于二维小波变换的空间目标识别算法。
To improve the recognition accuracy of the characters on car license plate, a novel method based on support vector machine (SVM) and wavelet decomposition was proposed.
为了提高车牌上的字符识别准确率，提出一种结合支撑矢量机(SVM)和小波的字符识别方法。
A new method of recognition and classification of metal fracture surface models based on wavelet transform is presented in the paper.
实验结果表明，这种方法可以对金属断口模式进行准确的识别与分类。
The AE signals of tool conditions are decomposed using a recursive wavelet from which the features are extracted and delivered to an improved ART2 network for fault recognition.
对刀具ae信号进行递归小波分解，提取特征并应用于改进的ART2网络识别刀具状态。
A sequential cycle cascade correlation system for wavelet transform (WT) of images and correlation recognition based on feature extracting by WT is presented.
提出了一种时序循环级联式的子波变换相关识别系统。
The AE signals of tool conditions were decomposed using a recursive wavelet from which the features are extracted and delivered to an ART2 network for fault recognition.
对刀具AE信号进行递归小波分解，提取特征并应用ART2网络识别刀具状态。
Wavelet transform is a very useful method for image features extraction and pattern recognition.
子波变换是目标特征抽取和模式识别的有效方法。
Experiments are performed to validate the importance of wavelet transform for the improvement of the correlation quality and the recognition accuracy.
通过实验验证了于波变换在改善相关输出质量和提高相关检测准确性方面的重要作用。
To the problem of lower recognition rate of traditional speech recognition system, this paper presents an improved method based on wavelet transform and evolutionary algorithm.
针对传统语音识别系统识别率较低的问题，提出了一种基于小波变换和进化算法的改进方法。
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。
This paper presents a novel algorithm for quasi-frontal face recognition based on the wavelet decomposition technique and a multi-class Support Vector Machine (SVM) model.
基于小波分解提取人脸特征技术和多分类支持向量机模型，提出了一种新的准正面人脸识别算法。
The wavelet analysis is applying widely to pure mathematics, applied mathematics, signal processing, speech recognition and synthesis, automation processing and image analysis etc.
小波分析已经广泛应用于理论数学、应用数学、信号处理、语音识别与合成、自动控制和图像处理与分析等领域。
A novel method of EEG signals compression representation and epileptiform spikes recognition based on wavelet neural network and its algorithm is presented in this paper.
本文在对小波神经网络及其算法研究的基础上，提出了一种对脑电信号压缩表达和痫样脑电棘波识别的新方法。
This paper aims to consummate the wavelet theory, combining with its excellent time and frequency feature , present some new algorithms and use to image recognition.
旨在完善小波理论的同时，结合小波的时频域特性设计出新的应用算法，将其用于图像识别。
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.
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。
This article utilizes the wavelet transform to compress the high dimensional face image vectors, then devises an SVM classify system to recognition the face.
文中使用小波变换来对人脸的高维图像矢量进行压缩，并设计了一个支持向量机分类器系统来识别人脸。
Applying wavelet transform, differential equation of multi-scale structural dynamic was obtained and the parameter recognition of damage identification was analyzed in structural dynamic system.
应用小波变换，推导了多尺度结构动力方程来分析结构动力系统中的损伤识别。
Simulation results shows that cutting tool state monitoring based on wavelet has the advantage of strong resistance to interference, high recognition accuracy, good reliability.
仿真结果表明该方法具有较强的抗干扰及消噪能力，较高的监测精度和可靠性好的优点。
The result shows that, compared with the time-wavelet power spectrum, the scale-wavelet power spectrum has a higher recognition accuracy and smaller dimension of feature vector.
结果表明，尺度-小波能量谱和时间-小波能量谱相比有较好的分类效果和较低的特征维数。
In addition, the difference between the outside defect and the inside defect is studied, and the flaw recognition and classification method is discussed based on wavelet analysis.
另外，对小波变换后，内外表面缺陷信号的不同特征进行了分析，初步研究了内外伤分类的小波方法。
In addition, the difference between the outside defect and the inside defect is studied, and the flaw recognition and classification method is discussed based on wavelet analysis.
另外，对小波变换后，内外表面缺陷信号的不同特征进行了分析，初步研究了内外伤分类的小波方法。
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