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2009 16th International Conference on Digital Signal Processing最新文献

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A template-based method for the estimation of Event Related Potentials using the Bayesian linear model 基于模板的贝叶斯线性模型事件相关电位估计方法
2009 16th International Conference on Digital Signal Processing Pub Date : 2009-07-05 DOI: 10.1109/ICDSP.2009.5201150
V. Oikonomou, D. Fotiadis
{"title":"A template-based method for the estimation of Event Related Potentials using the Bayesian linear model","authors":"V. Oikonomou, D. Fotiadis","doi":"10.1109/ICDSP.2009.5201150","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201150","url":null,"abstract":"In this work a method for the estimation of Event Related Potentials (ERPs) using the linear model is presented. The method consists of two stages. In the first stage, a template is constructed using the averaged ERP. From this template the design matrix of the linear model is extracted. The second stage is related to the estimation of the coefficients of the linear model. In this stage the bayesian approach is used. However, in our problem the posterior distribution is not easily evaluated and there is need to resort in approximation techniques. One such approach is the Variational Bayesian Methodology. In our study, two prior distributions are used to estimate the ERP. This results in two estimation algorithms having different properties for the coefficients of the linear model. The proposed method is tested in simulated and real ERP data.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"43 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132429760","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
Low frequency clock synchronization technique for low signal to noise ratio (SNR) signal recoery from noise environment 低频时钟同步技术用于从噪声环境中恢复低信噪比的信号
2009 16th International Conference on Digital Signal Processing Pub Date : 2009-07-05 DOI: 10.1109/ICDSP.2009.5201234
Eung-ju Kim, Hoyoung Park, Suki Kim
{"title":"Low frequency clock synchronization technique for low signal to noise ratio (SNR) signal recoery from noise environment","authors":"Eung-ju Kim, Hoyoung Park, Suki Kim","doi":"10.1109/ICDSP.2009.5201234","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201234","url":null,"abstract":"This paper presents low frequency clock synchronization using digital frequency divider component in the lock-in amplifier. To extract the interesting low frequency DC signal which is under a few hundred kHz low SNR signal from the much stronger noise environment, exact input signal frequency information should be known. In the case of implementation this system, circuit designer will meet the problem to find or implement low frequency clock generator. In this paper, we propose to convert high frequency signal to low frequency clock using 1/n series flip flop divider for down conversion mixed filtering in lock-in amplifier. This simple but novel idea will solve the physical problem to implement lock-in amplifier for low frequency signal DC level detection application in the fields of bio-signal sensing or nano-ampere signal detection application.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133986887","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
Adaptive analytical MMA with time-varying MIMO channels and diversity in interception context 拦截环境下具有时变MIMO信道和分集的自适应分析MMA
2009 16th International Conference on Digital Signal Processing Pub Date : 2009-07-05 DOI: 10.1109/ICDSP.2009.5201197
S. Daumont, Daniel Le Guennec
{"title":"Adaptive analytical MMA with time-varying MIMO channels and diversity in interception context","authors":"S. Daumont, Daniel Le Guennec","doi":"10.1109/ICDSP.2009.5201197","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201197","url":null,"abstract":"This paper deals with blind source separation (BSS) with time-varying MIMO (Multiple Input Multiple Output) channels in interception and diversity context (Alamouti code). A new algorithm based on an adaptive AnalyticalMultiModulus Algorithm (MMA) is proposed and called adaptive-AMMA. An analytical method, which converges quickly, is necessary with time varying channels. Performances obtained with adaptive-AMMA are better than adaptive-ACMA (Analytical Constant Modulus Algorithm) and simple MMA for time-varying channels. In addition, this proposed method has done jointly source separation and carrier phase recovery contrary to the adaptive-ACMA. After separation by BSS, the Alamouti code synchronization is found again and then an exploitation of the Alamouti diversity is proposed to raise sources order indetermination inherent with BSS.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134209255","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
Image annotation through gaming (TAG4FUN) 通过游戏进行图像标注(TAG4FUN)
2009 16th International Conference on Digital Signal Processing Pub Date : 2009-07-05 DOI: 10.1109/ICDSP.2009.5201118
L. Seneviratne, E. Izquierdo
{"title":"Image annotation through gaming (TAG4FUN)","authors":"L. Seneviratne, E. Izquierdo","doi":"10.1109/ICDSP.2009.5201118","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201118","url":null,"abstract":"This paper introduces a new technique for image annotation in which social aspects of human-based computation are exploited. The proposed approach aims at exploiting what millions of single, online and cooperative gamers are keen to do, (in some cases gaming enthusiasts) to tackle the challenging image annotation task. The proposed approach deviates from the conventional “content-based image retrieval (CBIR)” paradigm, favored by the research community to tackle problems related to semantic annotation and tagging of multimedia content. The proposed approach focuses on social aspects of gaming and the use of humans in a widely distributed fashion through a process of human-based computation. It aims at motivating people towards image tagging while entertaining themselves. Regarding key aspect of label accuracy, a combination of computer vision techniques, machine learning and game strategies have been used.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132711650","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
A new adaptive band weighting technique for hydrocarbon detection 一种新的自适应波段加权油气探测技术
2009 16th International Conference on Digital Signal Processing Pub Date : 2009-07-05 DOI: 10.1109/ICDSP.2009.5201136
Yifeng Li, G. Lampropoulos
{"title":"A new adaptive band weighting technique for hydrocarbon detection","authors":"Yifeng Li, G. Lampropoulos","doi":"10.1109/ICDSP.2009.5201136","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201136","url":null,"abstract":"In this study, a new approach is presented for hydrocarbon detection using hyperspectral data. The algorithm is developed based on an adaptive band weighting (ABW) technique which utilizes information in different spectral bands of the hyperspectral data to enhance the detection of desired oil signatures while suppressed the unwanted background. A constant false alarm rate (CFAR) detector is then used to obtain detected hydrocarbon under a constant false alarm rate. The algorithm has been tested using an AVIRIS hyperspectral data. A comparison study is also carried out between ABW algorithm and the Mixture Tuned Matched Filtering (MTMF) algorithm in a small sub-scene of the AVIRIS data based on the Receiver Operating Characteristic (ROC) curves from the 10 regions of interest. The presented algorithm has a higher probability of hydrocarbon detection and lower false alarm than that of MTMF results.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"544 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133696774","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
Spatial feature based reconfigurable H.264/AVC integer motion estimation architecture for HDTV video encoder 基于空间特征的可重构H.264/AVC高清视频编码器整数运动估计架构
2009 16th International Conference on Digital Signal Processing Pub Date : 2009-07-05 DOI: 10.1109/ICDSP.2009.5201185
Yiqing Huang, Qin Liu, T. Ikenaga
{"title":"Spatial feature based reconfigurable H.264/AVC integer motion estimation architecture for HDTV video encoder","authors":"Yiqing Huang, Qin Liu, T. Ikenaga","doi":"10.1109/ICDSP.2009.5201185","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201185","url":null,"abstract":"In this paper, we contribute one reconfigurable integer motion estimation (IME) architectures (namely RPPSAD) based on adaptive algorithm. Firstly, based on the pixel difference analysis, the spatial redundancy is further exploited and three subsampling patterns are selected adaptively for the IME process. Secondly, in order to achieve data reuse and power reduction in memory part, the reference pixels in search window are reorganization into two memory groups, which output pixel data interactively for adaptive subsampling. Moreover, a compressor tree based circuit level optimization is included in our design to reduce hardware cost. Synthesized with TSMC 0.18um technology, averagely 10k gates hardware can be reduced for the whole IME engine based on our optimization. With 481k gates at 110.5MHz, one 720-p, 30-fps HDTV integer motion estimation engine is designed. Compared with previous work, our design can achieve 39.8% reduction in power consumption with only 3.44% increase in hardware.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132182946","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
Spectral entropy of dyslexic ERP signal by means of Adaptive Optimal Kernel 基于自适应最优核的失读症ERP信号谱熵
2009 16th International Conference on Digital Signal Processing Pub Date : 2009-07-05 DOI: 10.1109/ICDSP.2009.5201265
G. Giannakakis, N. Tsiaparas, C. Papageorgiou, K. Nikita
{"title":"Spectral entropy of dyslexic ERP signal by means of Adaptive Optimal Kernel","authors":"G. Giannakakis, N. Tsiaparas, C. Papageorgiou, K. Nikita","doi":"10.1109/ICDSP.2009.5201265","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201265","url":null,"abstract":"In this paper, subband spectral entropy (SSE) and its relative form was used for the analysis of rest electroencephalogram (EEG) and Event Related Potentials (ERP). The recorded signals were taken from control children and children with dyslexia. Adaptive-Optimal-Kernel (AOK) time-frequency representation was used to produce high resolution spectrogram. Then, SSE and relative subband spectral entropy (RSSE) were calculated. The entropic patterns of both controls and dyslexics were investigated showing differences in specific electrode recordings.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129616805","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
Efficient time-domain modeling of lumped circuits in quasiperiodic behavior 集总电路准周期特性的有效时域建模
2009 16th International Conference on Digital Signal Processing Pub Date : 2009-07-05 DOI: 10.1109/ICDSP.2009.5201094
M. Iordache, L. Dumitriu, L. Mandache
{"title":"Efficient time-domain modeling of lumped circuits in quasiperiodic behavior","authors":"M. Iordache, L. Dumitriu, L. Mandache","doi":"10.1109/ICDSP.2009.5201094","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201094","url":null,"abstract":"It is commonly accepted that the most accurate analysis methods of lumped circuits are based on time-domain algorithms. If the circuit behavior is quasiperiodic, as in the case of several electronic equipment (e.g. communications, medicine or audio-video technology), the required computational effort may become unacceptable. This is caused by the extremely small time steps (imposed by the fastest component of the signals) relative to the total simulation time (related to the slowest component). A new and valuable alternative is based on the Multitime Partial Differential Equation approach which preserves the analysis accuracy with a reasonably computational effort. Although the concept was described in the literature, only few applications have been practically treated. This paper overcomes this reality and presents a general algorithm for time-domain modeling of lumped linear or nonlinear circuits in quasiperiodic behavior, based on the MPDE approach. A complete example is given, using our new dedicated program, accompanied by a common SPICE simulation, for comparison.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130273334","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
Combining Gaussian Markov random fields with the discrete-wavelet transform for endoscopic image classification 结合高斯马尔可夫随机场和离散小波变换的内镜图像分类
2009 16th International Conference on Digital Signal Processing Pub Date : 2009-07-05 DOI: 10.1109/ICDSP.2009.5201226
M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba
{"title":"Combining Gaussian Markov random fields with the discrete-wavelet transform for endoscopic image classification","authors":"M. Häfner, A. Gangl, M. Liedlgruber, A. Uhl, A. Vécsei, F. Wrba","doi":"10.1109/ICDSP.2009.5201226","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201226","url":null,"abstract":"In this work we present a method for automated classification of endoscopic images according to the pit pattern classification scheme. Images taken during colonoscopy are transformed to the wavelet domain using the pyramidal discrete wavelet transform. Then, Gaussian Markov random fields are used to extract features from the resulting wavelet coefficients. Finally, these features are used for a classification using the k-NN classifier and the Bayes classifier.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114365429","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: 26
Gait recognition based on time-frequency analysis 基于时频分析的步态识别
2009 16th International Conference on Digital Signal Processing Pub Date : 2009-07-05 DOI: 10.1109/ICDSP.2009.5201264
Xiaxi Huang, N. Boulgouris, A. Georgakis
{"title":"Gait recognition based on time-frequency analysis","authors":"Xiaxi Huang, N. Boulgouris, A. Georgakis","doi":"10.1109/ICDSP.2009.5201264","DOIUrl":"https://doi.org/10.1109/ICDSP.2009.5201264","url":null,"abstract":"In this paper, we extract model-based gait features and investigate the time-frequency representations of the feature signals. A novel gait recognition approach is proposed, which is based on time-frequency analysis of gait feature signals using the Wigner distribution. Time-frequency analysis using theWigner distribution is aimed at capturing gait information that is not extractable using other time-domain or frequency-domain techniques. Experiments, conducted based on the above approach, yielded encouraging results.","PeriodicalId":409669,"journal":{"name":"2009 16th International Conference on Digital Signal Processing","volume":"619 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133977690","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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