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2012 IEEE 11th International Conference on Signal Processing最新文献

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Optimized design of wideband beamformer using interpolation technique for vertical acoustic array 垂直声阵列宽带波束形成器的插值优化设计
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2016-05-01 DOI: 10.1109/ITNEC.2016.7560474
Peng Hou, Chunyan Xia
{"title":"Optimized design of wideband beamformer using interpolation technique for vertical acoustic array","authors":"Peng Hou, Chunyan Xia","doi":"10.1109/ITNEC.2016.7560474","DOIUrl":"https://doi.org/10.1109/ITNEC.2016.7560474","url":null,"abstract":"This paper proposes an optimized design procedure of wideband constant beamwidth beamformer (WCBB) using robust array interpolation technique for a shallow water vertical acoustic array. With the incorporation of harmonic nesting and array interpolation, a nearly constant mainlobe response is achieved over the design band with compact array size, smaller number of sensors and improved array directivity. The robust interpolation matrices design problem can be converted to the efficient form of second-order cone programming (SOCP) and be solved with the interior point method. An interpolation-based WCBB is implemented in frequency domain with frequency bin dependent weighting of the elements. Representative design examples are presented to demonstrate the dramatic improvement of beamforming performance under far-field condition.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"353 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116534578","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: 1
Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis 合并SenticNet和WordNet-Affect情感列表进行情感分析
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-12-01 DOI: 10.1109/ICOSP.2012.6491803
Soujanya Poria, Alexander Gelbukh, E. Cambria, Peipei Yang, A. Hussain, T. Durrani
{"title":"Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis","authors":"Soujanya Poria, Alexander Gelbukh, E. Cambria, Peipei Yang, A. Hussain, T. Durrani","doi":"10.1109/ICOSP.2012.6491803","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491803","url":null,"abstract":"SenticNet is currently one of the most comprehensive freely available semantic resources for opinion mining. However, it only provides numerical polarity scores, while more detailed sentiment-related information for its concepts is often desirable. Another important resource for opinion mining and sentiment analysis is WordNet-Affect, which in turn lacks quantitative information. We report a work on automatically merging these two resources by assigning emotion labels to more than 2700 concepts.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133506784","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: 95
Description logic based icons semantics: An Ontology for Icons 基于描述逻辑的图标语义:一个图标本体
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-21 DOI: 10.1109/ICOSP.2012.6491805
Nathalie Cindy Kuicheu, Ning Wang, Gile Narcisse Fanzou Tchuissang, F. Siewe, De Xu
{"title":"Description logic based icons semantics: An Ontology for Icons","authors":"Nathalie Cindy Kuicheu, Ning Wang, Gile Narcisse Fanzou Tchuissang, F. Siewe, De Xu","doi":"10.1109/ICOSP.2012.6491805","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491805","url":null,"abstract":"Iconic communication is paramount today in order to assist people with disability (e.g. illiteracy) enjoying, as much as everybody else, the advances in information and communication technologies (e.g. Internet). Previous works tend to generalize iconic communication by translating iconic sentences into XML documents. Theses approaches are limited owing to the fact that an icon can hide several metaphors. In fact, the semantics of an icon is not the linguistic equivalent associated to the image, but is a set of attributes which can be used to describe the given icon. Second, an XML schema is not a knowledge representation, but just a message format. Therefore, to manage the knowledge hidden behind iconic sentences, a semantic model for icons needs to be formally defined. This paper extends previous icon models by first, introducing a description logics-based definition of icons semantics, and second, based on those formal definitions and the Web Ontology Language (OWL), we create an Ontology for Icons named IcOnto (read “eye can too”). We further use IcOnto to model some properties of the African Traditional Medicine (ATM), for illustration.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131566974","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
New SO-TDOA algorithm using elastic waves propagation for footstep localization 基于弹性波传播的SO-TDOA脚印定位新算法
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-21 DOI: 10.1109/ICOSP.2012.6491986
R. Bahroun, O. Michel, F. Frassati, M. Carmona, J. Lacoume
{"title":"New SO-TDOA algorithm using elastic waves propagation for footstep localization","authors":"R. Bahroun, O. Michel, F. Frassati, M. Carmona, J. Lacoume","doi":"10.1109/ICOSP.2012.6491986","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491986","url":null,"abstract":"In this paper, we consider the use of seismic sensors for footstep localization in indoor environment. A popular strategy of localization is to use the measured time differences of arrival (TDOA) of the source signal at multiple pairs of sensors. In the literature, most of these algorithms assume that the perceived propagation velocity is constant. However, in dessipative and dispersive media, such as concrete, the measured propagation velocity of an impulsive perturbation depends highly on the source position. Traditional algorithms based on TDOA and velocity estimation cannot so be used for footstep localization using elastic waves. In this paper, we propose a new localization algorithm adapted to provide good localization results in dissipative and dispersive medium using only the sign of the measured TDOAs and that does not need the estimation of the propagation velocity. Simulation results are included to assess performances of the new sign of the time differences of arrival (SO-TDOA) algorithm.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"6 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129977868","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: 1
Text independent language recognition system using DHMM with new features 文本独立语言识别系统采用DHMM具有新的特点
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491537
M. Sadanandam, V. Prasad, V. Janaki, A. Nagesh
{"title":"Text independent language recognition system using DHMM with new features","authors":"M. Sadanandam, V. Prasad, V. Janaki, A. Nagesh","doi":"10.1109/ICOSP.2012.6491537","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491537","url":null,"abstract":"Spoken Language Identification is a task of recognizing the language from an unknown utterance of speech. This paper describes a text independent language recognition system using new features derived from MFCC feature of speech signal with a common code book and discrete hidden Markov models (DHMM) to achieve a very good LID recognition performance with less computation time comparing with that of a state of art phone based systems available in literature. In this work, MFCC feature vectors of speech signal are transformed into new feature vectors. This LID approach includes generation of a common codebook using new features and training of DHMM, one for each language. The experiments are carried out on the database of OGI and Indian language consists of six languages namely Telugu, Tamil, Hindi, Marathi, Malayalam and Kannada.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115721915","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
Local-Limited-Angle CT image reconstruction based on wavelet and Radon domain inpainting 基于小波和Radon域的局部限角CT图像重建
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491599
Ke-jun Wang, Huizhu Ma
{"title":"Local-Limited-Angle CT image reconstruction based on wavelet and Radon domain inpainting","authors":"Ke-jun Wang, Huizhu Ma","doi":"10.1109/ICOSP.2012.6491599","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491599","url":null,"abstract":"X-ray computed tomography (CT) has been playing an important role in diagnostic and industrial fields. However, high imaging dose is harmful to healthy organs. In this paper, a local Reconstruction method based on wavelet and Radon domain inpainting is proposed to recover a small region of interest (ROI) inside a large object only using the Local-Limited-Angle projections. Our method is motivated by the localization in time-frequency domain of wavelet transform and the minimization of the image total variation (TV). The proposed model enhances the resolution of the CT image with filling wavelet coefficients in the Radon domain. Numerical demonstrations of our algorithm are performed with various insufficient parallel beam projections.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116961143","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
A method of fusion recognition based on the characteristic of target and incomplete data 一种基于目标和不完整数据特征的融合识别方法
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491932
Jun-wu Li, Zhi-fu Yu
{"title":"A method of fusion recognition based on the characteristic of target and incomplete data","authors":"Jun-wu Li, Zhi-fu Yu","doi":"10.1109/ICOSP.2012.6491932","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491932","url":null,"abstract":"According to the problem of incomplete data fusion recognition, a method based on target characteristics is proposed. The expected values of characteristics are gained firstly based on observation vector in this method, and they are combined with fuzzy reasoning method to get the evidence. Then the expectation evidence is obtained through the analysis of the importance of evidence. Finally the D-S evidence theory is used to fusion expect evidence aiming to get recognition result. The simulation results show that the method can not only solve the problem of incomplete data fusion and also can avoid conflict evidence.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"77 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120940867","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
An Active Shape Model based approach for Arabic handwritten character recognition 基于主动形状模型的阿拉伯手写体字符识别方法
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491790
Laslo Dinges, A. Al-Hamadi, Moftah Elzobi
{"title":"An Active Shape Model based approach for Arabic handwritten character recognition","authors":"Laslo Dinges, A. Al-Hamadi, Moftah Elzobi","doi":"10.1109/ICOSP.2012.6491790","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491790","url":null,"abstract":"A lot of research has been conducted in order to solve the problem of unconstrained Arabic handwriting recognition. Nonetheless, an effective solution is still a serious challenge. In this paper, we propose an new Active Shape Model (ASM) based approach for recognition of Arabic handwritten text. Character candidate representations are generated using chamfer distance transforms, and optimal parameters for ASMs are calculated. Furthermore, a performance comparison among three different optimization techniques, is presented. For experiments, we used 28046 letter samples from different writers. Two third to build the ASMs and one third for testing. Results were satisfactory, and we showed that our approach is a promising and a step forward in the field.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123450309","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
Robust color texture retrieval method using co-occurrence matrix of pattern spectrums 基于模式谱共现矩阵的鲁棒彩色纹理检索方法
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491568
Shota Takei, S. Wada
{"title":"Robust color texture retrieval method using co-occurrence matrix of pattern spectrums","authors":"Shota Takei, S. Wada","doi":"10.1109/ICOSP.2012.6491568","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491568","url":null,"abstract":"In this paper, we propose a robust color texture image retrieval method using co-occurrence matrix of pattern spectrums (PSs). The proposed method has robustness to geometric distortions such as shift, rotation, scaling, skew, projection and their combinations. The feature of texture pattern and color is extracted as co-occurrence matrix of PSs of multiple component planes that can be robust to geometric distortion. To realize efficient calculation, binary pattern of RGB components are combined with grey level luminance component to obtain feature vector. In simulations, performance of the proposed method is analyzed under various distortion conditions with similar image retrieval system. Effectiveness is verified by evaluating retrieval accuracy rates. Retrieval accuracy is examined with multi-level as well as binary planes.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123558369","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
Identification of aircraft targets based on multifractal spectrum features 基于多重分形谱特征的飞机目标识别
2012 IEEE 11th International Conference on Signal Processing Pub Date : 2012-10-01 DOI: 10.1109/ICOSP.2012.6491934
Qiusheng Li, W. Xie, Cheng Luo
{"title":"Identification of aircraft targets based on multifractal spectrum features","authors":"Qiusheng Li, W. Xie, Cheng Luo","doi":"10.1109/ICOSP.2012.6491934","DOIUrl":"https://doi.org/10.1109/ICOSP.2012.6491934","url":null,"abstract":"The multifractal spectrum characteristics of return signals from aircraft targets in conventional radars offer a fine description of dynamic characteristics which induce the targets' echo structure, therefore they can provide a new way for aircraft target identification by conventional radars. On basis of introducing the scattering mechanism of return signals from aircraft targets in conventional radars, the paper analyzed the multifractal characteristics of return signals from aircraft targets, defined several characteristic parameters for multifractal spectrum curves, and discussed their identification mechanism for different types of aircraft targets. The identification experiment results with real recorded echo data showed the multifractal-spectrum-signature-based identification method got an average correct identification rate of more than 97 percent, so the defined characteristic parameters could be used as effective features for aircraft target identification.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123580277","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: 7
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