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2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)最新文献

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Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities 非平稳信号的时频信号和图像处理及其在新生儿脑电图异常分类中的应用
2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151545
B. Boashash, L. Boubchir, G. Azemi
{"title":"Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities","authors":"B. Boashash, L. Boubchir, G. Azemi","doi":"10.1109/ISSPIT.2011.6151545","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151545","url":null,"abstract":"This paper presents an introduction to time-frequency (T-F) methods in signal processing, and a novel approach for EEG abnormalities detection and classification based on a combination of signal related features and image related features. These features which characterize the non-stationary nature and the multi-component characteristic of EEG signals, are extracted from the T-F representation of the signals. The signal related features are derived from the T-F representation of EEG signals and include the instantaneous frequency, singular value decomposition, and energy based features. The image related features are extracted from the T-F representation considered as an image, using T-F image processing techniques. These combined signal and image features allow to extract more information from a signal. The results obtained on newborn and adult EEG data, show that the image related features improve the performance of the EEG seizure detection in classification systems based on multi-SVM classifier.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122889500","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: 23
Greedy algorithms for sparse adaptive decision feedback equalization 稀疏自适应决策反馈均衡的贪心算法
2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151567
A. Lalos, Evangelos Vlachos, K. Berberidis, A. Rontogiannis
{"title":"Greedy algorithms for sparse adaptive decision feedback equalization","authors":"A. Lalos, Evangelos Vlachos, K. Berberidis, A. Rontogiannis","doi":"10.1109/ISSPIT.2011.6151567","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151567","url":null,"abstract":"In this paper we propose two new adaptive decision feedback equalization (DFE) schemes for channels with long and sparse impulse responses. It has been shown that for a class of channels, and under reasonable assumptions concerning the DFE filter sizes, the feedforward (FF) and feedback (FB) filters possess also a sparse form. The sparsity form of both the channel impulse response (CIR) and the equalizer filters is properly exploited and two novel adaptive greedy schemes are derived. The first scheme is a channel estimation based one. In this scheme, the non-negligible taps of the involved CIR are first estimated via a new greedy algorithm, and then the FF and FB filters are adaptively computed by exploiting a useful relation between these filters and the CIR. The channel estimation part of this new technique is based on the steepest descent (SD) method and offers considerably improved performance as compared to other adaptive greedy algorithms that have been proposed. The second scheme is a direct adaptive sparse equalizer based on a SD-based greedy algorithm. Compared to non sparsity aware DFE, both of our schemes exhibit faster convergence, improved tracking capabilities and reduced complexity.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127791171","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
Support Vector Machines with the priorities method for speaker independent phoneme recognition 基于优先级方法的支持向量机语音独立识别
2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151597
M. Cutajar, E. Gatt, I. Grech, O. Casha, J. Micallef
{"title":"Support Vector Machines with the priorities method for speaker independent phoneme recognition","authors":"M. Cutajar, E. Gatt, I. Grech, O. Casha, J. Micallef","doi":"10.1109/ISSPIT.2011.6151597","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151597","url":null,"abstract":"A speaker independent phoneme recognition system, based on Support Vector Machines (SVMs) method was improved by adding a priority scheme to forecast the three most likely phonemes. The system helps improve the obtained recognitions rate. For the phoneme recognition system, four multiclass SVMs methods, the All-at-once, One-against-all, One-against-one, and the Directed Acyclic Graph SVM (DAGSVM), were designed. The One-against-one method performed best, achieving an accuracy of 53.70%. This accuracy was further increased to 75.41%, when the second and third priorities were considered in the priorities method. All tests were carried out on the TIMIT database.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133181967","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
Criteria for performance improvement in metropolitan area WDM ring networks 城域网WDM环网性能改进标准
2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151544
P. Baziana, I. Pountourakis
{"title":"Criteria for performance improvement in metropolitan area WDM ring networks","authors":"P. Baziana, I. Pountourakis","doi":"10.1109/ISSPIT.2011.6151544","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151544","url":null,"abstract":"In this paper, we present three efficient and combined algorithms suitable for WDM ring metropolitan area networks. The first algorithm determines the input traffic allocation into a multiple buffer architecture at each node. The second algorithm defines an effective access scheme to avoid both the data wavelengths and the receiver collisions. Finally, the third algorithm introduces an effective buffer selection for transmission technique that combines the priority criteria of receiver collisions avoidance and packet age. In this way, we apply a slotted WDMA protocol in order to improve the limited bandwidth utilization that many WDMA protocols for MANs introduce, especially at high loads. The proposed protocol behaviour is investigated through exhaustive simulations assuming Poisson traffic sources. It is proven that we achieve dropping probability and delay reduction, while we manage throughput improvement. Our study concludes with the determination of the required number of buffers per node to maximize throughput.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131911573","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 restoration method of the clipped audio signals based on MDCT 一种基于MDCT的剪切音频信号恢复方法
2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151569
Dawei Zhang, C. Bao, Feng Deng, Bingyin Xia, Hao Chen
{"title":"A restoration method of the clipped audio signals based on MDCT","authors":"Dawei Zhang, C. Bao, Feng Deng, Bingyin Xia, Hao Chen","doi":"10.1109/ISSPIT.2011.6151569","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151569","url":null,"abstract":"A kind of restoration method of the clipped audio signal based on Modified Discrete Cosine Transform (MDCT) is proposed in this paper. The front-end of the clipped audio are detected by the peak detection algorithm. The Clipped audio signal is restored by the soft-thresholding method and spectral weighting function method in the MDCT domain. Both the objective evaluation and subjective listening test indicate that the quality of the clipped signal is improved effectively by the proposed method and has a comparable performance with the method of cubic interpolation.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134181537","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
Rθ-signature: A new signature based on Radon Transform and its application in buildings extraction r θ-特征:一种基于Radon变换的新特征及其在建筑物提取中的应用
2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151611
H. Rojbani, Ines Elouedi, A. Hamouda
{"title":"Rθ-signature: A new signature based on Radon Transform and its application in buildings extraction","authors":"H. Rojbani, Ines Elouedi, A. Hamouda","doi":"10.1109/ISSPIT.2011.6151611","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151611","url":null,"abstract":"Object recognition has been a topic of research for decades, it operates by making decisions based on the values of several shape properties measured from an image of the object. In this paper, a new exploitation of the Radon Transform (RT) is proposed to extract only one projection according to a single angle. This projection is chosen in way that contains the necessary information to recognize an object (a shape descriptor). This descriptor (called Rθ-signature) provides global information of a binary shape regardless its form. After that, we use this signature in an extraction method of buildings from very high-resolution satellite imagery.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121984427","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: 9
A robust shadow and light region detection using within-class variance in face images 基于类内方差的人脸图像阴影和光照区域鲁棒检测
2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151605
T. Tuan, M. Song, J. Kim
{"title":"A robust shadow and light region detection using within-class variance in face images","authors":"T. Tuan, M. Song, J. Kim","doi":"10.1109/ISSPIT.2011.6151605","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151605","url":null,"abstract":"Nowadays, computer vision has become increasingly important in real world systems for commercial, industrial, and military applications. And, a facial recognition system is one of such computer applications for automatically identifying or verifying a human face from a video frames by comparing selected facial features from the image and a facial database. Unfortunately, some recent algorithms have many problems in their accuracy due to some effects of illumination changes such as shadow or light. For that reason, we propose a robust shadow and light detection using within class variance which helps to detect all shadow and light regions in a face image. These detected regions will be the input of some recovery systems to obtain the illumination-invariant images. In this paper, we also have an overview of all shadow and light regions in a human face image and classified them into many different regions based on their characteristics. Results on various indoor and outdoor sequences under illumination variations show the success of our proposed approach.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"27 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120928222","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
With shadow elimination towards effective foreground extraction 通过阴影消除来有效提取前景
2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151596
Stefan Badura, A. Lieskovsky, M. Mokrys
{"title":"With shadow elimination towards effective foreground extraction","authors":"Stefan Badura, A. Lieskovsky, M. Mokrys","doi":"10.1109/ISSPIT.2011.6151596","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151596","url":null,"abstract":"Very important process in the area - image processing, is the task of foreground extraction. To learn a computer to distinguish between foreground objects and background scene is non-trivial. Further, if foreground is extracted, a question can be set: is the foreground credible? What if significant part of detected foreground is unimportant information? Shadow is in most cases as noise considered. Our goal is to analyze possibilities shadow elimination and next to provide improved inputs of detected foreground for more efficient traffic surveillance system.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116305493","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
Acoustic analysis of czech expressive recordings from a single speaker in terms of various communicative functions 从不同的交际功能的角度分析捷克语表达录音
2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151576
Martin Gruber
{"title":"Acoustic analysis of czech expressive recordings from a single speaker in terms of various communicative functions","authors":"Martin Gruber","doi":"10.1109/ISSPIT.2011.6151576","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151576","url":null,"abstract":"This paper presents an extensive acoustic analysis of utterances which were recorded by a single Czech female speaker using various expressive speaking styles. The recording of the expressive utterances was performed as a dialogue between a human and a computer on a given topic. Speech of the human speaker was captured and later carefully transcribed by human annotators. It was also annotated using a listening test. The aim of the annotations was to label each utterance with a corresponding speaking style (referred to as a communicative function). Based on such a labeling, the expressive recordings were classified into various groups and acoustically analyzed. In particular, we placed emphasis on some features which are supposed to influence the perception of speech, such as F0, phoneme duration, formant frequencies or energy. We made an effort to reveal some acoustic differences between the various speaking styles that could help us to improve expressive speech synthesis in a given limited domain.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126880768","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
Achieving the workload balance of the clusters 实现集群的工作负载均衡
2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) Pub Date : 2011-12-14 DOI: 10.1109/ISSPIT.2011.6151540
R. Ammar, Al sayed A. H. Sallam, A. Sarhan, Hebat-Allah M. Ragab
{"title":"Achieving the workload balance of the clusters","authors":"R. Ammar, Al sayed A. H. Sallam, A. Sarhan, Hebat-Allah M. Ragab","doi":"10.1109/ISSPIT.2011.6151540","DOIUrl":"https://doi.org/10.1109/ISSPIT.2011.6151540","url":null,"abstract":"Workload focuses not on time or level of effort but on the quality of attention devoted to individual cases. However, the load balancing is a technique to distribute workload evenly across two or more computers, network links, CPUs, hard drives, or other resources, in order to get optimal resource utilization, maximize throughput, minimize response time, and avoid overload. Using multiple components with load balancing, instead of a single component, may increase reliability through redundancy. We focus on load balancing policies for homogeneous clustered.","PeriodicalId":288042,"journal":{"name":"2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126881303","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
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