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2010 International Conference on Wavelet Analysis and Pattern Recognition最新文献

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Multiwavelet on the interval with arbitrary integer dilation factor 在具有任意整数膨胀因子的区间上的多小波
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576373
Yong-dong Huang, Ying-min Zhao
{"title":"Multiwavelet on the interval with arbitrary integer dilation factor","authors":"Yong-dong Huang, Ying-min Zhao","doi":"10.1109/ICWAPR.2010.5576373","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576373","url":null,"abstract":"In ¡his paper, the cons¡ruction and properties of interval multi-wavelets with compact supports 7, multiplicity r and arbitrary integer dilation factor a are introducedFisrtWe obtain the parametric expressions of interval multi-wavelets. Then, we deduce the decomposition and reconstruction formulas of interval multi-wavelets. Finallywe give an example to explain our theory.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133419884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Gearbox fault feature detection based on adaptive parameter identification with Morlet wavelet 基于Morlet小波自适应参数识别的齿轮箱故障特征检测
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576410
Shibin Wang, Zhongkui Zhu, Anzhu Wang
{"title":"Gearbox fault feature detection based on adaptive parameter identification with Morlet wavelet","authors":"Shibin Wang, Zhongkui Zhu, Anzhu Wang","doi":"10.1109/ICWAPR.2010.5576410","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576410","url":null,"abstract":"Localized defects in rotary machinery parts tend to result in impulse response in vibration signal, whose parameters provide a potential approach for localized fault diagnosis. A method combining the Morlet wavelet and Correlation Filtering, named Cyclic Morlet Wavelet Correlation Filtering (CMWCF), is proposed for identifying both the impulse response parameters and the cyclic period. Simulation study on cyclic impulse response signal with different SNR showed that CMWCF is effective in identifying the impulse response parameters and the cyclic period. Applications in gearbox vibration parameter identification for localized fault diagnosis showed that CMWCF is effective in identifying the parameters, and thus provides a feature detection method for gearbox fault diagnosis.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130931585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A study of transient-based protection using wavelet energy entropy for power system EHV transmission line 基于小波能量熵的电力系统超高压输电线路暂态保护研究
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576362
Ming-yu Yang, Yu-Kun Yang
{"title":"A study of transient-based protection using wavelet energy entropy for power system EHV transmission line","authors":"Ming-yu Yang, Yu-Kun Yang","doi":"10.1109/ICWAPR.2010.5576362","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576362","url":null,"abstract":"Wavelet energy entropy has a small calculation amount, and it has a unique sensibility to slightly change of the dynamic system parameters. This paper presents a novel transient-based protection for power system EHV transmission line, which employ the value of wavelet energy entropy to reflect the different energy distribution between internal and external fault. The basic principle of the protection is according to the attenuation effect of busbar capacitance and line trap to the high-frequency components. Simulation results show that the proposed protection criterion has high sensitivity and reliability, and capable of providing correct responses under conditions of different fault types, positions, path resistances, and inception angles.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"322 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131053489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
The research and realization of vehicle license plate character segmentation and recognition technology 车牌字符分割与识别技术的研究与实现
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576426
Jian-Xia Wang, Wan-Zhen Zhou, Jing-Fu Xue, Xin-Xin Liu
{"title":"The research and realization of vehicle license plate character segmentation and recognition technology","authors":"Jian-Xia Wang, Wan-Zhen Zhou, Jing-Fu Xue, Xin-Xin Liu","doi":"10.1109/ICWAPR.2010.5576426","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576426","url":null,"abstract":"On the basis of the vehicle license plate location, an image grey vertical projection segmentation approach based on the distribution character segmentation is proposed in this paper. A two-stage approach consisting of coarse and accurate segmentation is adopted. It can increase the accuracy of the segmentation and has good segmentation speed. And in recognition process, character features are extracted from character segmentation results, in order to identify character exactly, an improved template matching method is used to character recognition. Experimental results show that character segmentation method is efficient and quick and recognition algorithm is applicable.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116016837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 25
A survey of traffic sign recognition 交通标志识别技术综述
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576425
Meng-Yin Fu, Yuan-Shui Huang
{"title":"A survey of traffic sign recognition","authors":"Meng-Yin Fu, Yuan-Shui Huang","doi":"10.1109/ICWAPR.2010.5576425","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576425","url":null,"abstract":"Advanced Driver Assistance Systems (ADAS) refer to various high-tech in-vehicle systems that are designed to increase road traffic safety by helping drivers gain better awareness of the road and its potential hazards as well as other drivers around them. The design of traffic sign recognition, one important subsystem of ADAS, has been a challenge problem for many years and hence become an important and active research topic in the area of intelligent transport systems. The realization of a real-time traffic sign recognition system is usually divided into three stages: detection, tracking and classification. This paper introduces the main difficulties in road sign recognition and briefly surveys the state-of-the-art technologies in this field with further discussions on the potential trend of development of road sign recognition.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121566085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 100
Hybrid intelligent fault diagnosis based on adaptive lifting wavelet and multi-class support vector machine 基于自适应提升小波和多类支持向量机的混合智能故障诊断
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576405
Zhongjie Shen, Xueying Cheng, Zhengjia He
{"title":"Hybrid intelligent fault diagnosis based on adaptive lifting wavelet and multi-class support vector machine","authors":"Zhongjie Shen, Xueying Cheng, Zhengjia He","doi":"10.1109/ICWAPR.2010.5576405","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576405","url":null,"abstract":"To diagnose compound faults of rotating machine, this paper presents a novel hybrid intelligent fault diagnosis model based on adaptive lifting wavelet and multi-class support vector machine. First of all, the adaptive lifting wavelet is constructed to mach the signal local characteristics. The original signal is decomposed into approximation signal and detail signal. Secondly, 32 time-domain statistical features are evaluated and some salient features are selected from them by applying the distance evaluation technique. Finally, multi-class support vector machine (SVM) is applied. The testing classification accuracy with salient features of the proposed model reaches to 98.32%, which is 5.32% and 5.04% higher than classification with the salient features of original signal and the salient features of approximation signal and detail signal decomposed by second generation wavelet. It shows that the proposed model can effectively lock signal local characteristics, recognize different fault categories and enhance classification accuracy.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114420584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Comparison of CWT with DWT for detecting Qrs Complex on Wearable ECG Recorder CWT与DWT检测可穿戴心电图仪Qrs复合体的比较
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576361
U. Yoon, I. Hwang, Yeonsik Noh, In-Cheol Chung, H. Yoon
{"title":"Comparison of CWT with DWT for detecting Qrs Complex on Wearable ECG Recorder","authors":"U. Yoon, I. Hwang, Yeonsik Noh, In-Cheol Chung, H. Yoon","doi":"10.1109/ICWAPR.2010.5576361","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576361","url":null,"abstract":"Wearable ECG Recorder can detect not only Biosignal but also Motion artifact and other surrounding noises. This study used wavelet transform as a way of removing such noise and compared Continuous Wavelet Transform (CWT) and Discrete Wavelet Transform (DWT). Each transform is designed to optimize the QRS Complex. CWT was designed to detect the Maximum energy scale from QRS Complex. DWT was designed to decompose 8-Levels and to reconstruct detailed coefficient with the frequency of the QRS Complex. To test the performance of two methods, data were collected from MIT-BIH Arrhythmia Database and Wearable ECG Recorder(WER) at the speed of 3km/h, 6km/h, 9km/h, 12km/h. By analyzing the data from two methods, the effectiveness for detecting QRS Complex while eliminating the surrounding noises.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122143530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Crowd foreground detection and density estimation based on moment 基于矩的人群前景检测与密度估计
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576421
Wei Li, Xiaojuan Wu, Koichi Matsumoto, Hua-An Zhao
{"title":"Crowd foreground detection and density estimation based on moment","authors":"Wei Li, Xiaojuan Wu, Koichi Matsumoto, Hua-An Zhao","doi":"10.1109/ICWAPR.2010.5576421","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576421","url":null,"abstract":"This paper focuses on crowd motion analysis and consists two parts. Firstly, we propose a new foreground detection approach called optical flow and background model (OFBM) based on Lucas-Kanade optical flow and Gaussian background model methods. This approach overcomes the shortages of optical flow and background subtract, such as sensitiveness of light changing and producing accumulate errors. Secondly, according to moment analysis, we propose a new feature based on the zeroth-order Tehebichef discrete orthogonal moment (TOM), which is employed for crowd density estimation. Some experimental results show that this approach is useful and efficient in crowd density estimation.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126794234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Research on electrocardiogram signal noise reduction based on wavelet multi-resolution analysis 基于小波多分辨率分析的心电图信号降噪研究
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576381
Weiwei Zhang, Min Li, Jiyin Zhao
{"title":"Research on electrocardiogram signal noise reduction based on wavelet multi-resolution analysis","authors":"Weiwei Zhang, Min Li, Jiyin Zhao","doi":"10.1109/ICWAPR.2010.5576381","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576381","url":null,"abstract":"Electrocardiogram (ECG) signal's noise reduction is critical for ECG automatic diagnosis and analysis, and the de-noising result directly affects the accuracy of ECG parameter extraction even the patients' illness diagnosis and analysis. ECG signals are often seriously distorted by noises with the characteristics of low signal-noise ratio and non-stationary stochastic property, especially for P wave and T wave because they have lower amplitude and are sensitive to noise. This paper presents an ECG signal noise reduction method utilizing coif3 wavelet and notch filter. Experiment results show that this algorithm effectively solved the serious ECG signal distortion problem caused by baseline drift, power line interference and EMG interference, greatly inhibits the noise in P wave and T wave, and improves the accuracy of ECG parameter extraction.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133401302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Fault diagnosis of gearbox based on matching pursuit 基于匹配追踪的齿轮箱故障诊断
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576401
Zhipeng Feng, Jin Zhang, Rujiang Hao, M. Zuo, F. Chu
{"title":"Fault diagnosis of gearbox based on matching pursuit","authors":"Zhipeng Feng, Jin Zhang, Rujiang Hao, M. Zuo, F. Chu","doi":"10.1109/ICWAPR.2010.5576401","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576401","url":null,"abstract":"Matching pursuit is effective in matching the characteristic structure of signals and extracting the time-frequency features directly. It is employed to analyze the vibration signals of a gearbox under healthy and faulty statuses. Based on a compound dictionary, the periodic impulses characterizing the vibration of localized damaged gears are extracted in joint time-frequency domain, and the localized gear damage is detected and located. The analysis validates the effectiveness of matching pursuit in detecting and locating localized gear damage.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131627683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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