{"title":"A DASP approach to wideband multichannel spectrum sensing","authors":"B. I. Ahmad, A. Tarczynski","doi":"10.5281/ZENODO.41988","DOIUrl":"https://doi.org/10.5281/ZENODO.41988","url":null,"abstract":"This paper introduces a spectrum sensing approach that deploys nonuniform sampling and Digital Alias-free Signal Processing (DASP) to reliably sense the spectrum using sampling rates well below the ones required for uniform-sampling-based-DSP. The adopted method is based on spectral analysis of the incoming signal from a finite set of its nonuniformly distributed samples that are contaminated with noise. Reliability guidelines are provided to ensure the credibility of the sensing technique where the sampling rates can be arbitrary low. The presented analytical results are illustrated by a numerical example.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121054141","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}
N. Butt, Mikael G. Nilsson, A. Jakobsson, A. Pettersson, S. Wallin, Henne Östmark
{"title":"An improved classification scheme for standoff detection of explosives via Raman spectroscopy","authors":"N. Butt, Mikael G. Nilsson, A. Jakobsson, A. Pettersson, S. Wallin, Henne Östmark","doi":"10.5281/ZENODO.41944","DOIUrl":"https://doi.org/10.5281/ZENODO.41944","url":null,"abstract":"Raman spectroscopy is a laser-based vibrational technique that can provide spectral signatures unique to a multitude of compounds. The technique is gaining widespread interest as a method for detecting hidden explosives due to its sensitivity and ease of use. In this work, we present a computationally efficient classification scheme for accurate standoff identification of several common explosives using visible-range Raman spectroscopy. Using real measurements, we evaluate and modify a recent correlation-based approach to classify Raman spectra from various both harmful and commonplace substances. The results show that the proposed approach can, at a distance of 30 meters, or more, successfully classify measured Raman spectra from several explosive substances, including Nitromethane, TNT, DNT, Hydrogen Peroxide, TATP and Ammonium Nitrate.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124251555","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":"Robust blind extraction of a signal with the best match to a prescribed autocorrelation","authors":"Brian Bloemendal, J. V. Laar, P. Sommen","doi":"10.5281/ZENODO.41848","DOIUrl":"https://doi.org/10.5281/ZENODO.41848","url":null,"abstract":"Several blind extraction algorithms have been proposed that extract some signal of interest from a mixture of signals. We propose a novel blind extraction algorithm that extracts the signal that has an autocorrelation closest to a prescribed autocorrelation that serves as a mold. Based on the mold we perform a linear transformation of sensor correlation matrices. This transformation allows for the construction of a matrix with a specific eigenstructure. Each eigenvalue is related to the Euclidean distance between the mold and the actual autocorrelation of one of the source signals. The extraction filter that extracts the source signal with an autocorrelation closest to the mold is identified as the eigenvector that corresponds to the smallest eigenvalue. We show that this approach is more robust to noise than methods from literature, while it exploits comparable a priori information. The results are validated by means of simulations.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"115 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124414201","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":"Eigenfunctions, eigenvalues, and fractionalization of the quaternion and biquaternion fourier transforms","authors":"S. Pei, Jian-Jiun Ding, Kuo-Wei Chang","doi":"10.5281/ZENODO.42104","DOIUrl":"https://doi.org/10.5281/ZENODO.42104","url":null,"abstract":"The discrete quaternion Fourier transform (DQFT) is useful for signal analysis and image processing. In this paper, we derive the eigenfunctions and eigenvalues of the DQFT. We also extend our works to the reduced biquaternion case, i.e., the discrete reduced biquaternion Fourier transform (DRBQFT). We find that an even or odd symmetric eigenvector of the 2-D DFT will also be an eigenvector of the DQFT and the DRBQFT. Moreover, both the DQFT and the DRBQFT have 8 eigenspaces, which correspond to the eigenvalues of 1, -1, i, -i, j, -j, k, and -k. We also use the derived eigenvectors to fractionalize the DQFT and the DRBQFT and define the discrete fractional quaternion transform and the discrete fractional reduced biquaternion Fourier transform.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123256366","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":"Multiscale zero-crossing statistics of intrinsic mode functions for white Gaussian noise","authors":"S. Baykut, Tayfun Akgül","doi":"10.5281/ZENODO.42085","DOIUrl":"https://doi.org/10.5281/ZENODO.42085","url":null,"abstract":"In this paper, the statistical characteristics of zero-crossing intervals and zero-crossing amplitudes (the time interval and the absolute value of extrema between two successive zero-crossings) of intrinsic mode functions of white Gaussian noise are studied. Intrinsic mode functions are extracted by empirical mode decomposition method. Numerous simulations are conducted and the probability distribution functions of zero-crossing intervals and amplitudes are obtained. Simulation results are included. These findings are important to determine the statistical significance of IMFs. These white noise-only case statistical characteristics can be used for signal detection and/or signal/noise separation and an efficient noise reduction can be achieved.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129612030","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":"Context-based multiple description wavelet image coding","authors":"Dror Porat, D. Malah","doi":"10.5281/ZENODO.41998","DOIUrl":"https://doi.org/10.5281/ZENODO.41998","url":null,"abstract":"Multiple description coding is a source coding technique that produces several descriptions of a single information source, such that various reconstruction qualities are obtained from different subsets of the descriptions. It thus can provide error resilience to information transmitted on lossy networks. Among previous works, MDs for image coding were generated via polyphase transform and selective quantization, performed in the wavelet domain. In this paper, we present an effective way to exploit the special statistical properties of the wavelet decomposition to provide improved coding efficiency, in the same general framework. We propose a novel coding scheme that efficiently utilizes contextual information, extracted from another polyphase component, to improve the coding efficiency of each redundant component. Our experimental results demonstrate that the proposed coder outperforms its predecessor across the entire redundancy range, and that the improvement in coding efficiency can indeed be attributed primarily to the effective utilization of contextual information.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130304667","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}
Guy Berdugo, Omri Soceanu, Y. Moshe, Dmitry Rudoy, Itsik Dvir
{"title":"Object reidentification in real world scenarios across multiple non-overlapping cameras","authors":"Guy Berdugo, Omri Soceanu, Y. Moshe, Dmitry Rudoy, Itsik Dvir","doi":"10.5281/ZENODO.42233","DOIUrl":"https://doi.org/10.5281/ZENODO.42233","url":null,"abstract":"In a world where surveillance cameras are at every street corner, there is a growing need for synergy among cameras as well as the automation of the data analysis process. This paper deals with the problem of reidentification of objects in a set of multiple cameras inputs without any prior knowledge of the cameras distribution or coverage. The proposed approach is robust to change of scale, lighting conditions, noise and viewpoints among cameras, as well as object rotation and unpredictable trajectories. Both novel and traditional features are extracted from the object. Light and noise invariance is achieved using textural features such as oriented gradients, color ratio and color saliency. A probabilistic framework is used incorporating the different features into a human probabilistic model. Experimental results show that textural features improve the reidentification rate and the robustness of the recognition process compared with other state-of-the-art algorithms.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125301536","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":"Using visual saliency for object tracking with particle filters","authors":"D. Sidibé, D. Fofi, F. Mériaudeau","doi":"10.5281/ZENODO.41894","DOIUrl":"https://doi.org/10.5281/ZENODO.41894","url":null,"abstract":"This paper presents a robust tracking method based on the integration of visual saliency information into the particle filter framework. While particle filter has been successfully used for tracking non-rigid objects, it shows poor performances in the presence of large illumination variation, occlusions and when the target object and background have similar color distributions. We show that considering saliency information significantly improves the performance of particle filter based tracking. In particular, the proposed method is robust against occlusion and large illumination variation while requiring a reduced number of particles. Experimental results demonstrate the efficiency and effectiveness of our approach.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125221098","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":"Segmentation of cell nuclei from histological images by ellipse fitting","authors":"Jenni Hukkanen, A. Hategan, E. Sabo, I. Tabus","doi":"10.5281/ZENODO.42098","DOIUrl":"https://doi.org/10.5281/ZENODO.42098","url":null,"abstract":"We propose a new algorithm for non-assisted segmentation of possibly clustered nuclei from histological images. We use elliptic shapes as parametric models to represent the nuclei contours and fit the parameters using the information present in the gray level intensity image and in the derived gradient image. Multiple seeds for each closed contour are found by ultimate erosion of an estimated edge image, resulting in an number of seeds generally larger than the number of nuclei. Our algorithm, called segmentation of nuclei by ellipse fitting (SNEF), constructs several candidate contours for each seed by fitting ellipses to selected subsets of edge pixels. In the end the algorithm selects the contours to be declared nuclei by comparing the values of a suitably chosen goodness of fit criterion. The proposed algorithm produces segmentations in agreement with an expert pathologist.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131403043","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":"Over the real-time selective encryption of AVS video coding standard","authors":"Z. Shahid, M. Chaumont, W. Puech","doi":"10.5281/ZENODO.42081","DOIUrl":"https://doi.org/10.5281/ZENODO.42081","url":null,"abstract":"Audio Video Coding Standard (AVS) is the emerging video standard in which 2-dimensional context adaptive variable length coding (C2DVLC) is used. The main difference between context adaptive variable length coding (CAVLC) of H.264/AVC and C2DVLC of AVS from selective encryption point of view is that C2DVLC codewords are not contiguous and do not use the full code-space. In this case, C2DVLC codewords can be assigned indices and are encrypted. This scheme works fine if codewords are encrypted separately. But when we make a plaintext by encryptable bits of codewords, the encrypted codewords may not be valid codewords because C2DVLC encryptable bits do not use a full code-space. In this paper, we will present two schemes to overcome this limitation for real-time implementation of C2DVLC codewords. Both of the algorithms are a compromise between the processing power and security of realtime selective encryption.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134432522","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}