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

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Non-stationary signal classification using the undecimated wavelet packet transform 基于未消差小波包变换的非平稳信号分类
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576377
M. Plessis, J. Olivier
{"title":"Non-stationary signal classification using the undecimated wavelet packet transform","authors":"M. Plessis, J. Olivier","doi":"10.1109/ICWAPR.2010.5576377","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576377","url":null,"abstract":"A classifier for non-stationary signals is presented in this paper. A time-frequency signal representation is calculated using the undecimated wavelet packet transform. The classification is performed with a support vector machine. Only the highest valued wavelet coefficients are selected as features in order to reduce the effect of noise. This classifier is compared against a classifier using a Wigner-Ville representation on a wideband non-stationary signal. The classifier based on the undecimated wavelet transform achieved a higher classification accuracy. Using only the largest half of the wavelet coefficients increased the classification accuracy","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"7 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":"124780778","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: 0
Modulated wavelet basis 调制小波基
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576378
L. K. Jiwani, S. Joshi, G. Visweswaran
{"title":"Modulated wavelet basis","authors":"L. K. Jiwani, S. Joshi, G. Visweswaran","doi":"10.1109/ICWAPR.2010.5576378","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576378","url":null,"abstract":"DWT representation is ideally suited for low pass signals. Also, efficient algorithm exits for their implementations. To broaden their applicability to signal with arbitrary spectra signal conditioning has been introduced. Prior to each stage of DWT decomposition the signal is conditioned such that DWT provides efficient representation for that signal. This signal conditioning is an invertible process, so that conditioning doesn't lead to any loss of signal information. Two theorems have been proposed to incorporate the signal conditioning information itself in the analysis and synthesis filters of the embedded DWT. The proposed process of conditioning and DWT decomposition is shown equivalent to a modulated DWT operating on the original signal. An expression for the resulting modulated basis is presented. Other than providing efficient representation of signal with arbitrary spectra, an added advantage is that the basis is still structured.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"157 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132090773","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
Construction of symmetric orthonormal multiwavelets 对称正交多小波的构造
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576365
Hong-Yan Li, P. Zhao
{"title":"Construction of symmetric orthonormal multiwavelets","authors":"Hong-Yan Li, P. Zhao","doi":"10.1109/ICWAPR.2010.5576365","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576365","url":null,"abstract":"For multiwavelets can possess the character of compact support, orthogonality, symmetry and antisymmetry at the same time compared with scalar wavelet except Haar wavelet, we present a new method of constructing the length-(2N+l) symmetric orthonormal multiwavelet system with multiplicity 2 from any length-2N symmetric orthonormal multiwavelet system with multiplicity 2 and vice versa. Then, we give the example of constructing multiwavelet system using our method. At last, we apply this multiwavelet system to image denoising and obtain the better result than GHM multiwavelet and CL multiwavelet.","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":"130171735","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: 0
Mann and Ishikawa iterative schemes for fixed points of strongly relatively nonexpansive mappings and their applications 强相对非扩张映射不动点的Mann和Ishikawa迭代格式及其应用
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576337
Wei Li, Ruilin Tan
{"title":"Mann and Ishikawa iterative schemes for fixed points of strongly relatively nonexpansive mappings and their applications","authors":"Wei Li, Ruilin Tan","doi":"10.1109/ICWAPR.2010.5576337","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576337","url":null,"abstract":"Relatively nonexpansive mapping is a kind of important mappings which has a close connection with some problems in the area of image recovery, economics, applied mathematics and engineering sciences. Two kinds of iterative schemes, Mann and Ishikawa iterative schemes, will be investigated for approximating the fixed points of strongly relatively nonexpan-sive mappings in a real smooth and uniformly convex Banach space. Compared to the already existing iterative schemes for strongly relatively nonexpan-sive mappings, these iterative schemes are simple and easy to realize. Some weak convergence theorems are proved, which extend and complement some previous work. Moreover, the applications of the iterative schemes on approximating zero points of maximal monotone operators are demonstrated.","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":"128419559","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: 0
Baseline detection and matching to vision-based navigation of agricultural robot 基于视觉导航的农业机器人基线检测与匹配
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576446
Cui-Jun Zhao, Guo-Quan Jiang
{"title":"Baseline detection and matching to vision-based navigation of agricultural robot","authors":"Cui-Jun Zhao, Guo-Quan Jiang","doi":"10.1109/ICWAPR.2010.5576446","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576446","url":null,"abstract":"An automatic guidance model based on machine vision for detection and localization of crops rows is presented. The machine vision system consists of a color video camera and a computer. The camera is mounted on the head directly above the robot as a navigation sensor. When the agricultural mobile robot goes forward, the camera captures images continuously and transferred to the computer. First, pattern recognition and image processing were used to obtain quasi navigation baseline. Second, the real navigation line was extracted from quasi navigation baseline via Hough Transform. Then the mobile robot can be guided by the navigation line matching dynamically by itself. Test results indicate that the model has simple and robust algorithm, low-level requirements for software and hardware and was capable of navigating an agricultural autonomous robots traveling between crops rows.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"28 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":"134074177","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: 18
An adaptive filter based on wavelet transform and affine projection algorithm 基于小波变换和仿射投影算法的自适应滤波
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576397
Weiwei Wu, Yansong Wang, Jue-Cheng Zhang
{"title":"An adaptive filter based on wavelet transform and affine projection algorithm","authors":"Weiwei Wu, Yansong Wang, Jue-Cheng Zhang","doi":"10.1109/ICWAPR.2010.5576397","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576397","url":null,"abstract":"Based on the wavelet transform (WT) and the affine projection algorithm, a new adaptive filter with a variable step-size scheme, so-called WAPA filter, is proposed in this paper. The computation performance of the WAPA filter is further verified by some numerical simulations and engineering applications. Comparing with the traditional affine projection algorithm (APA), the newly proposed algorithm can provide a faster convergence speed with the same mean square errors (MSE). This implies that the WAPA order may be reduced for a same filtering result; and the saved computation time may counteract the computation expenses of the wavelet transform. The faster convergence speed and the lower steady state MSE (or mis-adjustment) can be attributed to the variable step-size scheme adopted in the WAPA, which is much better than the normal variable step-size APAs.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"3 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":"133383905","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 Multiwavelet based digital watermarking algorithm using texture measures 基于纹理测度的多小波数字水印算法
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576354
Xiong-Bo Zheng, Xiao-Wei Zhang
{"title":"A Multiwavelet based digital watermarking algorithm using texture measures","authors":"Xiong-Bo Zheng, Xiao-Wei Zhang","doi":"10.1109/ICWAPR.2010.5576354","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576354","url":null,"abstract":"Digital watermarking technique is a leading international research field in recent years. Though watermarking algorithms based on scalar wavelet transforms have become a hot-discussed research aspect and fruitful achievements have been obtained. but the ones based on multi-wavelet transforms have appeared few. Multi-wavelet has symmetric, orthogonality and compact support at the same time. They are important properties in image processing. In the paper, watermarking system in multi-wavelet domain has been studied, and a multi-wavelet transform based JND digital watermarking algorithm has been proposed. By calculating the textutre measures of the multi-wavelet coefficients in the low frequency, the JND calculation model has been improved. The experiment result shows that by using JND calculating model based on texture measures, the robustness of the JND threshold is improved, and the watermark embeded position can be located exactly, at the same time the digital watermark extraction result is significantly improved.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"22 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":"116568178","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: 6
Image analysis based on an improved bidimensional empirical mode decomposition method 基于改进二维经验模态分解方法的图像分析
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576310
Dan Zhang, Jianjia Pan, Y. Tang
{"title":"Image analysis based on an improved bidimensional empirical mode decomposition method","authors":"Dan Zhang, Jianjia Pan, Y. Tang","doi":"10.1109/ICWAPR.2010.5576310","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576310","url":null,"abstract":"The Empirical Mode Decomposition (EMD) is a new adaptive signal decomposition method, which is good at handling many real nonlinear and nonstationary one dimensional signals. It decomposes signals into a a series of Intrinsic Mode Functions (IMFs) that was shown having better behaved instantaneous frequencies via Hubert transform (The EMD and Hubert spectrum analysis together were called Hilbert-Huang Transform (HHT) which was proposed by N.E. Huang et al, in [5].). For the advanced applications in image analysis, the EMD was extended to the bidimensional EMD (BEMD). However, most of the existed BEMD algorithms are slow and have unsatisfied results. In this paper, we firstly proposed a new BEMD algorithm which is comparatively faster and better-performed. Then we use the Riesz transform to get the monogenic signals. The local features (amplitude, phase orientation, phase angle, etc) are evaluated. The simulation results are given in the experiments.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"144 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":"116616285","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
The general perfect translation invariance theorem and its application to an orthogonal complex wavelet basis on the classical hardy space 经典hardy空间上的一般完全平移不变性定理及其在正交复小波基上的应用
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576394
H. Toda, Zhong Zhang, T. Imamura
{"title":"The general perfect translation invariance theorem and its application to an orthogonal complex wavelet basis on the classical hardy space","authors":"H. Toda, Zhong Zhang, T. Imamura","doi":"10.1109/ICWAPR.2010.5576394","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576394","url":null,"abstract":"In this paper, the general perfect translation invariance theorem is proved, which ensures the condition of perfect translation invariance for complex discrete wavelet transforms of an arbitrary complex square integrable function. Next, by using this theorem, an orthogonal complex wavelet basis on the classical Hardy space is defined and its calculation method is designed. Finally, by extending the general perfect translation invariance theorem to the case of using the discrete Fourier transform, the fast calculation algorithm for this wavelet basis is proposed.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"39 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":"122400854","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
Parasitic descrease wavelet transform and its application on denoising 寄生降噪小波变换及其在去噪中的应用
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576386
Zhong Zhang, N. Saiki, H. Toda, T. Imamura, T. Miyake
{"title":"Parasitic descrease wavelet transform and its application on denoising","authors":"Zhong Zhang, N. Saiki, H. Toda, T. Imamura, T. Miyake","doi":"10.1109/ICWAPR.2010.5576386","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576386","url":null,"abstract":"It is well ¡mown that parasitic discrete wavelet transform (PDWT) proposed by authors is a useful tool for abnormal signal detection, although it uses only for the signal decomposition and detection. In this study, a reconstruction possible new parasitic discrete wavelet transform (N-PDWT) has been proposed for traditional PDWT. The N-PDWT is different from the PDWT and the traditional DWT that it enabled the detailed decomposition corresponding to the purpose signal. In addition, the N-PDWT has been applied to the Korona noise removal form the ion current waveform of the engine and confirmed that the N-PDWT has bester performance than ¡hat of conventional impulse noise removal technique used the CDWT.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"38 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":"124068800","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: 0
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