Abstract: modern signal processing and pattern recognition have been playing an increasing important role in ultrasonic nondestructive testing and evaluation. 文摘:现代信号处理与模式识别技术在超声无损检测与评价中的作用愈来愈重要。
Surface Electromyography Signal Analysis and Pattern Recognition Based on Hilbert-Huang Transform 基于Hilbert-Huang变换的表面肌电信号分析与模式识别
The Research of Characteristics of Acoustic Emission Signal Extraction and Pattern Recognition in Timber Milling 木材铣削加工声发射信号的特征提取与模式识别的研究
Research on Signal Extraction and Pattern Recognition of PD Based on Virtual Instruments 基于虚拟仪器的局部放电信号提取与模式识别研究
In this paper, we present a novel method for spectral signal pattern recognition. 提出了一种对光谱信号识别的新方法。
It means that, in information terms, the signal pattern is determined by the way the voltage varies with time, and ideally the current required is then drawn. 用信息术语来说就是信号类型取决于电压随时间变化的情况,且在理想情况下就能吸收所需的电流。
Color Doppler examination showed that the color signal pattern was dot-like and/ or linear with low-velocity and high-resistance arterial flow in all the patients. 彩色多普勒显示肿物内部均可见点状和/或条状血流信号,为低速高阻的动脉血流。
A system for biological neural signal collecting and analyzing is studied and implemented, and the biological signal collection, pattern recognition and feedback control are combined. 研究并实现了生物神经信号实时采集和分析系统,其集生物信号采集、模式识别、反馈控制于一体;
Three-layer signal pattern; 病灶呈三层信号结构;
Clustering Algorithm of Self-Organizing Mapping Neural Networks can make input signal pattern of any dimensions into disperse mapping of one or two dimensions, and make this transform self-organizing topologically ordinal. 通过自组织映射神经网络实现的聚类算法能将任意维数的输入信号模式转变为一维或二维的离散映射,以拓扑有序的方式自适应实现这个变换。
The opening and closing response time reach 0.2 ms along with matched injection pulse pattern and controlling signal pattern are realized. 喷油器针阀开启和关闭响应时间均可达0.2ms,喷油规律波形与控制脉冲波形基本一致。
The unsupervised learning network is a data cluster method, it can transform an incoming signal pattern of arbitrary dimension into a one-or two-dimensional discrete map, and perform this transformation adaptively in a topologically ordered fashion. 无监督学习的竞争式神经网络是一种数据聚类方法,能保持输入空间的拓扑关系不变,借助于一维或二维输出平面的一组有序的向量,实现高维数据的聚类和可视化;
Application in PD Signal Pattern Recognition of Power Transformer of Neural Network Based on The Character of PD Pulse of Time Field 基于时域脉冲特征量的神经网络方法在变压器局放模式识别中的应用
Research on Shape Signal Pattern Recognition Based on Neural Network 基于神经网络的板形信号模式识别方法的研究
Watermark signal pattern of harmonics 谐波水印信号的模式
Signal Error Pattern Test of Communication Channels in Industrial Control Systems 工业控制系统的信道差错图样测试
Further co-localization with C23/ nucleolin antibody demonstrated that X2 protein localized in the nucleolus of transfected cells in the absence of any other viral proteins and displayed dotted nucleolus signal pattern. 进一步与核仁蛋白C23共定位,发现X2蛋白定位于核仁,且在不同细胞中,X2蛋白的定位状态表现一致。
Hidden Markov model ( HMM) as a tool for disposing signal pattern which has great ability of building time sequence, has widely been used in speech recognition. It is especially fit for signal which is nonlinear, non-stationary, bad in repeating to analysis. 隐马尔可夫模型(HiddenMarkovmodel,HMM)是一种具有较强的时间序列建模能力的信号模式处理工具,在语音处理中获得了广泛应用,特别适合于非线性、重复再现性不佳的信号的分析。
Summarizing the MRI signal pattern of bone marrow in hematologic diseases were helpful to correct recognizing MRI signal changes of bone marrow and increase diagnostic level of hematologic disease. 将其总结分型,便于正确认识血液疾病骨髓信号的变化,提高诊断水平。
Signal modulation pattern recognition is very important of non-cooperative communication and it is the essential technology of the administrative department of civil radio spectrum management and military electronic countermeasures. 信号调制模式识别是非合作通信中重要的研究内容,是民用无线电管理部门进行频谱管理和军用电子对抗的必备技术。
In recent years, application of sensor arrays and digital signal processing based pattern recognition methods to make sense of smell and taste fingerprint analyzer for the detection of fingerprint analysis capabilities to achieve integration, enhanced the aroma and taste of tea joint detection discriminating. 近年来,应用传感器阵列和根据模式识别的数字信号处理方法,使嗅觉指纹分析仪和味觉指纹分析仪侦测功能实现集成化,增强了对茶叶香气和滋味联合检测识别力。
The algorithm of communication signal modulate pattern recognition is done with statistic methods on signal characteristic extraction and sorting. 在识别算法上,采用基于特征提取的统计模式识别方法,通过提取信号的特征参数对信号分类。
Based on the analysis of domestic and foreign signal extraction and pattern recognition in large-scale generators insulation on-line monitoring, this paper developed a set of partial discharge data acquisition and identification system based on virtual instruments. 本文在分析了国内外大型发电机绝缘在线监测信号提取与模式识别的基础上,开发出一套基于虚拟仪器的局部放电数据采集与识别系统。
The concept of software radio and cognitive radio was put forward, and with the development of microelectronics technology, which makes the multi-institutional communication system in the same receiver as possible, that put new requirements on the modulation of the signal pattern recognition. 软件无线电和认知无线电概念的提出和微电子技术的发展,使多体制通信系统能够在同一接收机中实现成为可能,对信号的调制模式识别提出了新要求。
It provides hardware support for carrying out pattern recognition of AE signals. Finally, using high-speed code generation technology, an AE signal pattern recognition software system is designed. 最后,采用快速代码生成技术设计了声发射信号模式识别软件系统。
This dissertation combines the technique of multimedia, signal processing and pattern recognitions with music theory to make the computer to imitate the course of music cognitive and analysis of human. 本文研究的音乐识别正是将计算机多媒体技术、信号处理与模式识别的相关知识和技术同音乐理论相结合,用计算机模拟人对音乐认知和分析的过程。
The basic principles and pattern recognition methods of ANN is analyzed briefly, then the BP neural network is applied to the signal modulation pattern recognition. 在简要介绍ANN基本原理和用于模式识别的方法与特点的基础上,把BP神经网络引入到信号调制模式识别。
The results of simulation show that the HHT method can overcome some of noises. Secondly, the parameters extracted as the feature vector to recognize the single signal modulation pattern using ANN ( Artificial Neural Network) is described in the thesis. 试验仿真结果表明,HHT方法能克服部分噪声的影响。第二,依据提取出的特征参数作为特征向量,研究人工神经元网络(Artificialneuralnetwork,ANN)单信号调制模式识别问题。
This method implements the training process the sound signal pattern matching, using quantum neural network nonlinear mapping and self-learning ability to optimize the reduction parameters, thus completing the sound signal purification process. 该方法实现了训练过程中声音信号的模式匹配,利用量子神经网络的非线性映射和自学习能力来优化减参数,从而完成声音信号的净化过程。
Information content becomes rich and colorful, also changes the past single signal pattern, words, pictures, video and audio signals can be multiple choice. 信息内容也变得丰富多彩,一改过去单一的信号模式,文字、图片、音频和视频信号可以多重选择。