{"title":"High spatiotemporal cineMRI films using compressed sensing for acquiring articulatory data","authors":"Benjamin Elie, Y. Laprie, P. Vuissoz, F. Odille","doi":"10.1109/EUSIPCO.2016.7760469","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760469","url":null,"abstract":"The paper presents a method to acquire articulatory data from a sequence of MRI images at a high framerate. The acquisition rate is enhanced by partially collecting data in the kt-space. The combination of compressed sensing technique, along with homodyne reconstruction, enables the missing data to be recovered. The good reconstruction is guaranteed by an appropriate design of the sampling pattern. It is based on a pseudo-random Cartesian scheme, where each line is partially acquired for use of the homodyne reconstruction, and where the lines are pseudo-randomly sampled: central lines are constantly acquired and the sampling density decreases as the lines are far from the center. Application on real speech data show that the framework enables dynamic sequences of vocal tract images to be recovered at a framerate higher than 30 frames per second and with a spatial resolution of 1 mm. A method to extract articulatory data from contour identification is presented. It is intended, in fine, to be used for the creation of a large database of articulatory data.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123237307","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}
Mamadou Lamarana Diallo, Marwa Chafii, J. Palicot, F. Bader
{"title":"Modified tone reservation for PAPR reduction in OFDM systems","authors":"Mamadou Lamarana Diallo, Marwa Chafii, J. Palicot, F. Bader","doi":"10.1109/EUSIPCO.2016.7760338","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760338","url":null,"abstract":"One of the main drawbacks of orthogonal frequency division multiplex modulation is its high peak-to-average power ratio (PAPR) which can induce poor power efficiency at high power amplifier. Tone reservation (TR) is the most popular PAPR mitigation technique that uses a set of reserved tones to design peak cancelling signal for PAPR reduction. Finding an effective peak cancelling for PAPR reduction in the time domain by using only a small number of reserved tones, is not straightforward. Therefore, we are led to a trade-off between computational complexity and PAPR reduction. The TR method based on the gradient projection algorithm gives the best compromise. In this paper, we propose to modify the classical TR structure. The new proposed method achieves an improvement up to 1.2 dB in terms of PAPR performance without increasing the complexity. The effectiveness of this solution is confirmed through theoretical analysis and simulation results.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131841258","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}
{"title":"New evaluation scheme for software function approximation with non-uniform segmentation","authors":"J. Bonnot, Erwan Nogues, D. Ménard","doi":"10.1109/EUSIPCO.2016.7760325","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760325","url":null,"abstract":"Modern applications embed complex mathematical processing based on composition of elementary functions. A good balance between approximation accuracy, and implementation cost, i.e. memory space requirement and computation time, is needed to design an efficient implementation. From this point of view, approaches working with polynomial approximation obtain results of a monitored accuracy with a moderate implementation cost. For software implementation in fixed-point processors, accurate results can be obtained if the segment on which the function is computed I is segmented accurately enough, to have an approximating polynomial on each segment. Non-uniform segmentation is required to limit the number of segments and then the implementation cost. The proposed recursive scheme exploits the trade-off between memory requirement and evaluation time. The method is illustrated with the function exp(-√(x)) on the segment [2-6; 25] and showed a mean speed-up ratio of 98.7 compared to the mathematical C standard library on the Digital Signal Processor C55x.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126779993","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}
{"title":"Multipath components tracking adapted to integrated IR-UWB receivers for improved indoor navigation","authors":"Jimmy Maceraudi, F. Dehmas, B. Denis, B. Uguen","doi":"10.1109/EUSIPCO.2016.7760349","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760349","url":null,"abstract":"In this paper, we propose a solution adapted to Impulse Radio - Ultra Wideband (IR-UWB) integrated receivers devoted to indoor localization, making usage of multipath information under imposed time resolution and low complexity constraints. The Multipath Components (MPCs) can ideally be tracked by capturing their space-time correlation under mobility. The proposed architecture is composed of Multiple Hypothesis Kalman Filters (MHKFs) in parallel, each filter tracking one single MPC while detecting measurement outliers or maneuvering paths. A data association procedure enables to map the MHKFs' outputs onto delays associated with receiver's energy bins. The relative temporal variations of MPCs are used to collectively infer the missing direct path's information in case of Non-Line of Sight (NLoS). The corrected observations finally feed a conventional Extended Kalman Filter (EKF) that estimates mobile's position. We evaluate the performance of the proposed scheme through realistic simulations in terms of both MPC and mobile tracking.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127175762","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}
{"title":"Impact of array calibration on RFI mitigation","authors":"G. Hellbourg, K. Abed-Meraim, R. Weber","doi":"10.1109/EUSIPCO.2016.7760255","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760255","url":null,"abstract":"Phased array radio telescopes allow for the filtering of Radio Frequency Interference (RFI) in the spatial domain. Spatial filters are advantageous in radio astronomy when the separation between RFI and astronomical sources cannot be made in the time or frequency domains. Consequently, the mitigation of the RFI relies on the quality of its spatial signature vector (SSV) estimation. The latter depends on the array calibration information which is investigated in this work. More precisely, by using the Cramér-Rao Bound (CRB) tool, we evaluate the astronomical source power estimation error variance in presence of RFI for different array calibration scenarios corresponding to perfectly calibrated, direction-independent uncalibrated and direction-dependent uncalibrated array cases. In addition, we consider in this study the case where only the data covariance information is available and investigate the loss of performance due to the missing data with respect to different system parameters.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"519 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123125931","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}
{"title":"Improved resolution of chromatographic peak analysis using multi-snapshot imaging","authors":"J. Hopgood","doi":"10.1109/EUSIPCO.2016.7760505","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760505","url":null,"abstract":"Snapshot imaging has a number of advantages in automated gel electrophoresis compared with the finish-line method in capillary electrophoresis, although at the expense of resolution. This paper presents a novel signal processing algorithm enabling a multi-capture imaging modality which improves resolution. The approach takes multiple snapshots as macromolecules are electrophoresed. Peaks from latter snapshots have higher resolution but poor signal-to-noise ratio (SNR), while peaks from earlier snapshots have lower resolution but better SNR. Signals at different capture-times are related by a scale-in-separation, amplitude scaling, and an arbitrary shift. The multiple captures are realigned and fused together using least-squares estimation and a physically inspired signal model. Since partial waveforms are observed as the chromatic peaks exit the sensor's field-of-view, this is accounted for in the realignment algorithm. The proposed technique yields improved resolution, improved fragment concentration and size estimates, and allows the removal of static background noise.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"520 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123049738","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}
{"title":"Passive detection of rank-one signals with a multiantenna reference channel","authors":"I. Santamaría, L. Scharf, D. Cochran, J. Vía","doi":"10.1109/EUSIPCO.2016.7760226","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760226","url":null,"abstract":"In this work we consider a two-channel passive detection problem, in which there is a surveillance array where the presence/absence of a target signal is to be detected, and a reference array that provides a noise-contaminated version of the target signal. We assume that the transmitted signal is an unknown rank-one signal, and that the noises are uncorrelated between the two channels, but each one having an unknown and arbitrary spatial covariance matrix. We show that the generalized likelihood ratio test (GLRT) for this problem rejects the null hypothesis when the largest canonical correlation of the sample coherence matrix between the surveillance and the reference channels exceeds a threshold. Further, based on recent results from random matrix theory, we provide an approximation for the null distribution of the test statistic.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114998017","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}
{"title":"Interpolation-based image inpainting in color images using high dimensional model representation","authors":"Efsun Karaca, M. A. Tunga","doi":"10.1109/EUSIPCO.2016.7760684","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760684","url":null,"abstract":"Image inpainting is the process of filling missing or fixing corrupted regions in a given image. The intensity values of the pixels in missing area are expected to be associated with the pixels in the surrounding area. Interpolation-based methods that can solve the problem with a high accuracy may become inefficient when the dimension of the data increases. We solve this problem by representing images with lower dimensions using High Dimensional Model Representation method. We then perform Lagrange interpolation on the lower dimensional data to find the intensity values of the missing pixels. In order to use High Dimensional Model Representation method and to improve the accuracy of Lagrange interpolation, we also propose a procedure that decompose missing regions into smaller ones and perform inpainting hierarchically starting from the smallest region. Experimental results demonstrate that the proposed method produces better results than the variational and exemplar-based inpainting approaches in most of the test images.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115386477","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}
R. A. Ando, C. Jutten, B. Rivet, R. Attux, L. Duarte
{"title":"Nonlinear blind source separation for chemical sensor arrays based on a polynomial representation","authors":"R. A. Ando, C. Jutten, B. Rivet, R. Attux, L. Duarte","doi":"10.1109/EUSIPCO.2016.7760628","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760628","url":null,"abstract":"In this paper we propose an extension of a blind source separation algorithm that can be used to process the data obtained by an array of ion-selective electrodes to measure the ionic activity of different ions in an aqueous solution. While a previous algorithm used a polynomial approximation of the mixing model and mutual information as means of estimating the mixture coefficients, it only worked for a constrained configuration of two sources with the same ionic valence. Our proposed method is able to generalize it to any number of sources and any type of ions, and is therefore able to solve the problem for any configuration. Simulations show good results for the analyzed application.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"190 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115610710","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}
{"title":"Positive trigonometric polynomials and one-dimensional discrete phase retrieval problem","authors":"C. Rusu, J. Astola","doi":"10.1109/EUSIPCO.2016.7760285","DOIUrl":"https://doi.org/10.1109/EUSIPCO.2016.7760285","url":null,"abstract":"In this paper some results on Schur transform are reviewed to address the problem of one-dimensional discrete phase retrieval. The goal is to provide a test whether a sequence of input magnitude data gives a solution to one-dimensional discrete phase retrieval problem. It has been previously shown that this issue is related to the nonnegativity of trigonometric polynomials. The proposed method is similar to the table procedure for counting the multiplicities of zeros on unit circle. Examples and numerical results are also provided to indicate that the problem of one-dimensional discrete phase retrieval often does not have a solution.","PeriodicalId":127068,"journal":{"name":"2016 24th European Signal Processing Conference (EUSIPCO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116710514","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}