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2015 23rd European Signal Processing Conference (EUSIPCO)最新文献

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MVDR broadband beamforming using polynomial matrix techniques 使用多项式矩阵技术的MVDR宽带波束形成
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362501
Stephan Weiss, S. Bendoukha, A. Alzin, Fraser K. Coutts, I. Proudler, J. Chambers
{"title":"MVDR broadband beamforming using polynomial matrix techniques","authors":"Stephan Weiss, S. Bendoukha, A. Alzin, Fraser K. Coutts, I. Proudler, J. Chambers","doi":"10.1109/EUSIPCO.2015.7362501","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362501","url":null,"abstract":"This paper presents initial progress on formulating minimum variance distortionless response (MVDR) broadband beam-forming using a generalised sidelobe canceller (GSC) in the context of polynomial matrix techniques. The quiescent vector is defined as a broadband steering vector, and we propose a blocking matrix design obtained by paraunitary matrix completion. The polynomial approach decouples the spatial and temporal orders of the filters in the blocking matrix, and decouples the adaptive filter order from the construction of the blocking matrix. For off-broadside constraints the polynomial approach is simple, and more accurate and considerably less costly than a standard time domain broadband GSC.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130209449","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: 50
Shape-based fish recognition via shape space 基于形状空间的鱼类识别
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362362
K. Nasreddine, A. Benzinou
{"title":"Shape-based fish recognition via shape space","authors":"K. Nasreddine, A. Benzinou","doi":"10.1109/EUSIPCO.2015.7362362","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362362","url":null,"abstract":"Automatic fish recognition is a recent research work which is needed to assist marine scientists. Among most discriminative features, the fish outline is very efficient for fish recognition. In a previous work, we proposed a method for pattern recognition (classification and retrieval) based on signal registration and shape geodesics. In this paper, we introduce a preliminary step of pose estimation for accelerating the processing time. We then show that shape geodesics may also be used for outline-based fish recognition. Experiments conducted on the SQUID database which is used as a benchmark to evaluate fish shape recognition, show (1) a reduction in computation time of a factor of ten in average, and (2) the outperformance of the proposed scheme compared to previous methods.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134252638","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
Opportunities and challenges for ultra low power signal processing in wearable healthcare 超低功耗信号处理在可穿戴医疗领域的机遇与挑战
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362418
A. Casson
{"title":"Opportunities and challenges for ultra low power signal processing in wearable healthcare","authors":"A. Casson","doi":"10.1109/EUSIPCO.2015.7362418","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362418","url":null,"abstract":"Wearable devices are starting to revolutionise healthcare by allowing the unobtrusive and long term monitoring of a range of body parameters. Embedding more advanced signal processing algorithms into the wearable itself can: reduce system power consumption; increase device functionality; and enable closed-loop recording-stimulation with minimal latency; amongst other benefits. The design challenge is in realising algorithms within the very limited power budgets available. Wearable algorithms are now emerging to answer this challenge. Using a new review, and examples from a case study on EEG analysis, this article overviews the state-of-the-art in wearable algorithms. It demonstrates the opportunities and challenges, highlighting the open challenge of performance assessment and measuring variability.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131712198","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: 14
Multi-group multicast beamforming for simultaneous wireless information and power transfer 同时无线信息和功率传输的多组多播波束形成
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362605
Ozlem Tugfe Demir, T. E. Tuncer
{"title":"Multi-group multicast beamforming for simultaneous wireless information and power transfer","authors":"Ozlem Tugfe Demir, T. E. Tuncer","doi":"10.1109/EUSIPCO.2015.7362605","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362605","url":null,"abstract":"In this paper, simultaneous wireless information and power transfer (SWIPT) concept is introduced for multi group multicast beamforming. Each user has a single antenna and a power splitter which divides the radio frequency (RF) signal into two for both information decoding and energy harvesting. The aim is to minimize the total transmission power at the base station while satisfying both signal-to-interference-plus-noise-ratio (SINR) and harvested power constraints at each user. Unlike unicast and certain broadcast scenarios, semidefinite relaxation (SDR) is not tight and global optimum solution cannot be found for this problem. We propose an iterative algorithm where a convex optimization problem is solved at each iteration. Both perfect and imperfect channel state information (CSI) at the base station are considered. Simulation results show that the proposed solution is very close to the SDR lower bound and a few number of iterations are enough for the algorithm convergence.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131725340","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: 14
Transform learning MRI with global wavelet regularization 用全局小波正则化方法变换学习MRI
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362705
A. Tanc, E. Eksioglu
{"title":"Transform learning MRI with global wavelet regularization","authors":"A. Tanc, E. Eksioglu","doi":"10.1109/EUSIPCO.2015.7362705","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362705","url":null,"abstract":"Sparse regularization of the reconstructed image in a transform domain has led to state of the art algorithms for magnetic resonance imaging (MRI) reconstruction. Recently, new methods have been proposed which perform sparse regularization on patches extracted from the image. These patch level regularization methods utilize synthesis dictionaries or analysis transforms learned from the patch sets. In this work we jointly enforce a global wavelet domain sparsity constraint together with a patch level, learned analysis sparsity prior. Simulations indicate that this joint regularization culminates in MRI reconstruction performance exceeding the performance of methods which apply either of these terms alone.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126552913","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
Noise robust exemplar matching with coupled dictionaries for single-channel speech enhancement 基于耦合字典的单通道语音增强噪声鲁棒样本匹配
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362508
Emre Yilmaz, Deepak Baby, H. V. hamme
{"title":"Noise robust exemplar matching with coupled dictionaries for single-channel speech enhancement","authors":"Emre Yilmaz, Deepak Baby, H. V. hamme","doi":"10.1109/EUSIPCO.2015.7362508","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362508","url":null,"abstract":"In this paper, we propose a single-channel speech enhancement system based on the noise robust exemplar matching (N-REM) framework using coupled dictionaries. N-REM approximates noisy speech segments as a sparse linear combination of speech and noise exemplars that are stored in multiple dictionaries based on their length and associated speech unit. The dictionaries providing the best approximation of the noisy mixtures are used to estimate the speech component. We further employ a coupled dictionary approach that performs the approximation in the lower dimensional mel domain to benefit from the reduced computational load and better generalization, and the enhancement in the short-time Fourier transform (STFT) domain for higher spectral resolution. The proposed enhancement system is shown to have superior performance compared to the exemplar-based sparse representations approach using fixed-length exemplars in a single overcomplete dictionary.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126561623","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
A directional noise suppressor with an adjustable constant beamwidth for multichannel signal enhancement 具有可调恒定波束宽度的定向噪声抑制器，用于多通道信号增强
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362589
A. Sugiyama, Ryoji Miyahara
{"title":"A directional noise suppressor with an adjustable constant beamwidth for multichannel signal enhancement","authors":"A. Sugiyama, Ryoji Miyahara","doi":"10.1109/EUSIPCO.2015.7362589","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362589","url":null,"abstract":"This paper proposes a directional noise suppressor with an adjustable constant beamwidth for multichannel signal enhancement. A directional gain based on inter-channel phase difference is combined with a spectral gain commonly used in noise suppressors (NS). The beamwidth can be specified as passband edges of the directional gain. In order to implement frequency-independent constant beamwidth, frequency-proportionate band-edge phase differences are determined for the passband. Stereo perception is preserved by weighting stereo input with the common directional and spectral gain. Evaluation with signals recorded by a commercial PC demonstrates that the signal-to-noise ratio improvement and the PESQ score for the enhanced signal are equally improved in two channels by 26.1 dB and 0.2 over a conventional NS. ILD difference between the input and the output is small when the target-signal dominates the input signal.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126583003","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
Video saliency based on rarity prediction: Hyperaptor 基于稀缺性预测的视频显著性:超盗龙
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362638
Ioannis Cassagne, Nicolas Riche, M. Decombas, M. Mancas, B. Gosselin, T. Dutoit, R. Laganière
{"title":"Video saliency based on rarity prediction: Hyperaptor","authors":"Ioannis Cassagne, Nicolas Riche, M. Decombas, M. Mancas, B. Gosselin, T. Dutoit, R. Laganière","doi":"10.1109/EUSIPCO.2015.7362638","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362638","url":null,"abstract":"Saliency models are able to provide heatmaps highlighting areas in images which attract human gaze. Most of them are designed for still images but an increasing trend goes towards an extension to videos by adding dynamic features to the models. Nevertheless, only few are specifically designed to manage the temporal aspect. We propose a new model which quantifies the rarity natively in a spatiotemporal way. Based on a sliding temporal window, static and dynamic features are summarized by a time evolving \"surface\" of different features statistics, that we call the \"hyperhistogram\". The rarity-maps obtained for each feature are combined with the result of a superpixel algorithm to have a more object-based orientation. The proposed model, Hyperaptor stands for hyperhistogram-based rarity prediction. The model is evaluated on a dataset of 12 videos with 2 different references along 3 different metrics. It is shown to achieve better performance compared to state-of-the-art models.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131074275","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
Optimization of amplitude modulation features for low-resource acoustic scene classification 面向低资源声学场景分类的调幅特征优化
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362846
Semih Agcaer, A. Schlesinger, Falk-Martin Hoffmann, Rainer Martin
{"title":"Optimization of amplitude modulation features for low-resource acoustic scene classification","authors":"Semih Agcaer, A. Schlesinger, Falk-Martin Hoffmann, Rainer Martin","doi":"10.1109/EUSIPCO.2015.7362846","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362846","url":null,"abstract":"We developed a new feature extraction algorithm based on the Amplitude Modulation Spectrum (AMS), which mainly consists of two filter bank stages composed of low-order recursive filters. The passband range of each filter was optimized by using the Covariance Matrix Adaptation - Evolution Strategy (CMA-ES). The classification task was accomplished by a Linear Discriminant Analysis (LDA) classifier. To evaluate the performance of the proposed acoustic scene classifier based on AMS features, we tested it with the publicly available dataset provided by the IEEE AASP Challenge 2013. Using only 9 optimized AMS features, we achieved 85 % classification accuracy, outperforming the best previously available approaches by 10 %.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131195249","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: 12
HOG and subband power distribution image features for acoustic scene classification 基于HOG和子带功率分布图像特征的声场景分类
2015 23rd European Signal Processing Conference (EUSIPCO) Pub Date : 2015-12-28 DOI: 10.1109/EUSIPCO.2015.7362477
Victor Bisot, S. Essid, G. Richard
{"title":"HOG and subband power distribution image features for acoustic scene classification","authors":"Victor Bisot, S. Essid, G. Richard","doi":"10.1109/EUSIPCO.2015.7362477","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2015.7362477","url":null,"abstract":"Acoustic scene classification is a difficult problem mostly due to the high density of events concurrently occurring in audio scenes. In order to capture the occurrences of these events we propose to use the Subband Power Distribution (SPD) as a feature. We extract it by computing the histogram of amplitude values in each frequency band of a spectrogram image. The SPD allows us to model the density of events in each frequency band. Our method is evaluated on a large acoustic scene dataset using support vector machines. We outperform the previous methods when using the SPD in conjunction with the histogram of gradients. To reach further improvement, we also consider the use of an approximation of the earth mover's distance kernel to compare histograms in a more suitable way. Using the so-called Sinkhorn kernel improves the results on most of the feature configurations. Best performances reach a 92.8% F1 score.","PeriodicalId":401040,"journal":{"name":"2015 23rd European Signal Processing Conference (EUSIPCO)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133051942","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: 48
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