{"title":"Classification of bladder cancer on radiotherapy planning CT images using textural features","authors":"H. Liao, W. Nailon, D. McLaren, S. McLaughlin","doi":"10.5281/ZENODO.42222","DOIUrl":"https://doi.org/10.5281/ZENODO.42222","url":null,"abstract":"Highly reliable classification of anatomical regions is an important step in the delineation of the gross tumour volume (GTV) in computed tomography (CT) images during radiotherapy planning. In this study pixel-based statistics such as mean and variance were insufficient for classifying the bladder, rectum and a control region. Statistical texture analysis were used to extract features from gray-tone spatial dependence matrices (GTSDM). The features were de-correlated and reduced using principal component analysis (PCA), and the principal components (PC) were classified by a naive Bayes classifier (NBC). The results suggests that the three most significant PC of the 56 features from GTSDM with distances d = 1,2,3,4 give the highest average correct classification percentage.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"103 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":"132727474","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":"2D object description and recognition based on contour matching by implicit polynomials","authors":"Zoya Landa, D. Malah, M. Barzohar","doi":"10.5281/ZENODO.42190","DOIUrl":"https://doi.org/10.5281/ZENODO.42190","url":null,"abstract":"This work deals with 2D object description and recognition based on coefficients of implicit polynomials (IP). We first improve the description abilities of recently published Min-Max and Min-Var algorithms by replacing algebraic distances by geometric ones in the relevant cost function. We propose a new recognition approach that is based on deriving linear rotation invariants from several polynomials of different degrees, fitted to the object shape, as well as on their fitting errors. This approach is found to considerably improve the recognition and is denoted as Multi Order (degree) and Fitting Errors Technique (MOFET). We also use a Shape Transform, based on the Scatter Matrix of the objects' shape, to allow Affine invariant classification. Finally, we compare the performance of our approach with the Curvature Scale Space (CSS) method and find that it has an advantage over CSS, at about the same complexity.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"46 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":"132932171","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":"A new spatiotemporal filtering method for single-trial ERP subcomponent estimation","authors":"D. Jarchi, B. Makkiabadi, S. Sanei","doi":"10.5281/ZENODO.41951","DOIUrl":"https://doi.org/10.5281/ZENODO.41951","url":null,"abstract":"A new spatiotemporal filtering method for single trial estimation of event related potential (ERP) subcomponents is presented here. The method is an extension of the recent method for estimation of ERP components developed by Li et al. [1]. This method can be used for estimation of ERP subcomponents when they have temporal overlap and are often viewed as one component. Using the scalp projection of the subcomponents, a new constraint is added to the cost function which can deflate the other subcomponents. Therefore, the proposed method is capable of estimating the ERP subcomponents effectively. The method is applied to both simulated and real data and has been shown to perform very well even in low signal to noise ratios. The approach can be especially useful in mental fatigue analysis where the relative variability of the P300 subcomponents are the key factors in order to detect the level of fatigue.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"47 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132434745","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":"A computer model of the impulse noise produced by operation of breakers and switches in power electric system","authors":"L. Milic, J. Gajica","doi":"10.5281/ZENODO.42227","DOIUrl":"https://doi.org/10.5281/ZENODO.42227","url":null,"abstract":"This paper presents a computer model for simulating the impulse noise produced by the operation of circuit breakers and isolator switches in HV electric power systems. The simulator utilizes a recorded sample of the impulse noise as a kernel sequence. The kernel sequence is measured and recorded at the point of connection of the telecommunication equipment to the coaxial cable. The simulator produces the sequence composed of the low-level background noise, and of the train of short-time high-level noise impulses of random amplitudes, which are evenly distributed in time. At the output, the simulator is supplied with the bandpass digital filter with variable bandwidth and variable central frequency. The purpose of the filter is to simulate the impulse noise over the bandwidth of the desired telecommunication channel.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"42 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":"124100121","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":"Approximate optimal periodogram smoothing for cepstrum estimation using a penalty term","authors":"J. Sandberg, M. Hansson","doi":"10.5281/ZENODO.41969","DOIUrl":"https://doi.org/10.5281/ZENODO.41969","url":null,"abstract":"The cepstrum of a random process is useful in many applications. The cepstrum is usually estimated from the periodogram. To reduce the mean square error (MSE) of the estimator, the periodogram may be smoothed with a kernel function. We present an explicit expression for a kernel function which is approximatively MSE optimal for cepstrum estimation. A penalty term has to be added to the minimization problem, but we demonstrate how the weighting of the penalty term can be chosen. The performance of the estimator is evaluated on simulated processes. Since the MSE optimal smoothing kernel depends on the true covariance function, we give an example of a simple data driven method.","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":"123831988","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":"Transmit and receive antenna array geometries for mode selective HF OTH MIMO radar","authors":"Y. Abramovich, G. Frazer, Ben A. Johnson","doi":"10.5281/ZENODO.42050","DOIUrl":"https://doi.org/10.5281/ZENODO.42050","url":null,"abstract":"Use of multiple transmit waveforms to enable MIMO radar operation is a technology with strong application to HF over-the-horizon (OTH) radar. We consider the problem of target detection when the OTH radar is operating in an environment with a stable ionospheric propagation path supporting high quality Doppler spectra from backscattered signals and clutter, and a perturbed ionospheric propagation path which contaminates the signal with spread-Doppler clutter. In this case, efficient spread-clutter mitigation requires elevation and azimuth beampattern control via 2-D arrays. In addition, due to the propagation geometry, the beampattern control needs to range-dependent for both transmit and receive antenna arrays, mandating the use of the MIMO radar architecture. We examine the impact of antenna geometries on clutter mitigation performance. We also provide performance analysis for a specific configuration employing 1-D transmit and receive antennas which enables field experiments that validate MIMO OTH radar operations.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"23 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":"126767797","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":"Iteratively reweighted design of oversampling complex-modulated filter-banks for high output-signal quality","authors":"Thomas Kurbiel, D. Alfsmann, H. Göckler","doi":"10.5281/ZENODO.41847","DOIUrl":"https://doi.org/10.5281/ZENODO.41847","url":null,"abstract":"This paper addresses the improvement of the signal-to-disturbance ratio of the output-signal of an oversampling, complex-modulated subband-coder filter-bank pair with extensive subband-signal amplification. The undesired non-linear disturbance is induced by the sample rate conversion within the filter-bank pair and it is hard to predict in dependence of the signal amplification. This has not been considered in most current design methods, leading to high prototype filter lengths in order to obtain desired signal-to-disturbance ratios. In this paper, we propose a formulation for the design of a filterbank which is based on the definition of the signal-to-disturbance ratio. The algorithm iteratively optimises the coefficients of the prototype filters of the analysis and synthesis filter-banks using iteratively adapted weighting factors. We show that all iteration steps represent quadratic constrained optimization problems, and propose an efficient implementation. A numerical example shows that the signal-to-disturbance ratio of the output-signal is highly improved compared to that of standard designs.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"15 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":"125498721","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":"On spectral concentration of signals on the 2-sphere under a generalized moment weighting criterion","authors":"Liying Wei, R. Kennedy","doi":"10.5281/ZENODO.41913","DOIUrl":"https://doi.org/10.5281/ZENODO.41913","url":null,"abstract":"This paper formulates a spatially-limited signal energy concentration problem on the 2-sphere using a generalized moment criterion in the spectral domain. The set of optimal signals with maximum concentration for general positive spherical harmonic coefficient frequency weightings is obtained. Numerically solving the resulting integral equation optimization shows that this set of functions not only decays slower but also has higher sidelobes than the set of spherical Slepian functions. This result on the 2-sphere contrasts with the findings from the time-frequency analogy which compares the classical Slepian eigenfunctions with the minimum bandwidth basis functions for the fourth-moment bandwidth measure.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"274 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":"133831577","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":"Joint reconstruction of correlated images from compressed linear measurements","authors":"V. Thirumalai, P. Frossard","doi":"10.5281/ZENODO.42083","DOIUrl":"https://doi.org/10.5281/ZENODO.42083","url":null,"abstract":"This paper proposes a joint reconstruction algorithm for compressed correlated images that are given under the form of linear measurements. We first propose a geometry based model in order to describe the correlation between visual information in a pair of images, which is mostly driven by the translational motion of objects or vision sensors. We consider the particular problem where one image is selected as the reference image and it is used as the side information for decoding the compressed correlated images. These compressed images are built on random measurements that are further quantized and entropy coded. The joint decoder first captures the most prominent visual features in the reference image using geometric basis functions. Since images are correlated, these features are likely to be present in the compressed images too, possibly with some small transformation. Hence, the reconstruction of the compressed image is based on a regularized optimization problem that estimates these features in the compressed images. The regularization term further enforces the consistency between the reconstructed images and the quantized measurements. Experimental results show that the proposed scheme is able to efficiently estimate the correlation between images. It further leads to good reconstruction performance. The proposed scheme is finally shown to outperform DSC schemes based on unsupervised disparity or motion learning as well as independent coding solution based on JPEG-2000 from a rate-distortion perspective.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"83 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":"132697896","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}
F. Mustière, Hossein Najaf-Zadeh, R. Pichevar, Hassan Lahdili, L. Thibault, M. Bouchard
{"title":"Sparse audio coding via targeted dithering and combinatorial decoding","authors":"F. Mustière, Hossein Najaf-Zadeh, R. Pichevar, Hassan Lahdili, L. Thibault, M. Bouchard","doi":"10.5281/ZENODO.42241","DOIUrl":"https://doi.org/10.5281/ZENODO.42241","url":null,"abstract":"We present a novel paradigm for sparse audio signal coding. After annihilating unperceivable components in some transform domain, the encoder buffers the resulting sparse vector into small non-overlapping frames. In each frame, the active elements' amplitudes are quantized, and with the help of a priori known unquantized “filler” vectors (whose values are placed in inactive positions), their position is encoded such that a certain function f of the filled vector is nearly integer valued. For this purpose, the quantized values of the sparse frames are pre-adjusted in a controlled manner with distortion in mind (hence the name “targeted dithering”). The decoder then progresses through the possible combinations of the nonzero elements, and verifies with the filler vector which of these combinations produces an integer valued f, thereby retrieving the active elements' positions. In preliminary tests, good quality can be obtained by encoding 44.1 kHz signals with less than 50 kbps.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"36 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":"132764095","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}