{"title":"Closed-form design of variable fractional delay filter using discrete Fourier transform","authors":"C. Tseng, Su-Ling Lee","doi":"10.5281/ZENODO.41431","DOIUrl":"https://doi.org/10.5281/ZENODO.41431","url":null,"abstract":"The design of variable fractional delay filter is investigated. First, the discrete Fourier transform (DFT) interpolation approach is described. Then, the Taylor series expansion and DFT interpolation formula are used to design the variable fractional delay filter which can be implemented by using Farrow structure. Finally, numerical comparison with conventional Lagrange-type variable fractional delay filter is made to demonstrate the effectiveness of this new design approach.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130250405","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":"Filtering in the Time-Frequency domain for the detection of compact objects","authors":"D. Herranz, J. L. Sanz, E. Kuruoğlu","doi":"10.5281/ZENODO.41404","DOIUrl":"https://doi.org/10.5281/ZENODO.41404","url":null,"abstract":"In this work we propose a detection method for compact sources in the Time-Frequency domain. By exploring the joint Time-Frequency distribution of data and by calculating the time-frequency profile of the compact sources it is possible to improve the detectability of faint point sources. We propose the detection of sources by identification of local maxima (peaks) in the time-frequency Wigner-Ville distribution of the data, previously filtered with a two-dimensional correlator filter. The filter serves the double purpose of enhancing the signal and of reducing cross-terms derived from the Wigner-Ville transform. We test our method and compare it with a the case of the detection in the time domain (filtered with the appropriate one-dimensional correlator), for a situation in which we have faint sources embedded in stationary white Gaussian noise. The detection in the time-frequency domain gives us better significance levels of faint sources (signal-to-noise ratio ~ 1) than the detection in just the time domain.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123399795","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}
J. Mauclair, Daniel Aioanei, Julie Carson-Berndsen
{"title":"Exploiting phonetic and phonological similarities as a first step for robust speech recognition","authors":"J. Mauclair, Daniel Aioanei, Julie Carson-Berndsen","doi":"10.5281/ZENODO.41396","DOIUrl":"https://doi.org/10.5281/ZENODO.41396","url":null,"abstract":"This paper presents two speech recognition systems which use the notion of phonetic and phonological similarity to improve the robustness of phoneme recognition. The first recognition system, YASPER, uses phonetic feature extraction engines to identify phonemes based on overlap relations between phonetic features. The second system uses the CMU Sphinx 3.7 decoder based on statistical context-dependent phone models. Experiments have been carried out on the TIMIT corpus which show improvements in phoneme error rate when a projection set constructed with respect to phonetic and phonological similarity is used. It is envisaged that in future, the two systems will provide alternative parallel streams of hypotheses for each interval of the speech signal and will work together as experts in the phoneme recognition process.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126353721","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}
I. Trajkovic, Christoph Reller, M. Wolf, Hans-Andrea Loeliger
{"title":"Modelling and filtering almost periodic signals by time-varying Fourier series with application to near-infrared spectroscopy","authors":"I. Trajkovic, Christoph Reller, M. Wolf, Hans-Andrea Loeliger","doi":"10.3929/ETHZ-A-006532483","DOIUrl":"https://doi.org/10.3929/ETHZ-A-006532483","url":null,"abstract":"We propose a new approach to modelling almost periodic signals and to model-based estimation of such signals from noisy observations. The signal model is based on Fourier series where both the coefficients and the fundamental frequency can continuously change over time. This signal model can be represented by a factor graph which we use to derive message passing algorithms to estimate the time-dependent model parameters from the observed samples. Our motivating application is near-infrared spectroscopy. In this application the observed signal is a superposition of several physiological signals of clinical interest (including, in particular, the arterial pulsation), and we wish to decompose the observed signal into these components. Most of these component signals are almost periodic. We show that the proposed algorithm can be used to extract the arterial pulsation from the measured signal.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126405607","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":"PAPR reduction in blind MIMO OFDM systems based on independent component analysis","authors":"Jingbo Gao, Xu Zhu, A. Nandi","doi":"10.5281/ZENODO.41461","DOIUrl":"https://doi.org/10.5281/ZENODO.41461","url":null,"abstract":"We propose three peak-to-average power ratio (PAPR) reduction schemes for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, where the phase shifts and permutation introduced by PAPR reduction are completely resolved by an independent component analysis (ICA) based and precoding aided blind receiver. Therefore, no transmission of side information is needed as required by conventional PAPR reduction schemes, avoiding any spectral overhead. Simulation results show that the proposed schemes reduce the PAPR of the transmit signals considerably.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116543340","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":"Interference mitigation using Widely Linear arrays","authors":"Adilson Chinatto, C. Junqueira, J. Romano","doi":"10.5281/ZENODO.41533","DOIUrl":"https://doi.org/10.5281/ZENODO.41533","url":null,"abstract":"Widely Linear Processing (WLP), proposed by Brown and Crane in 1969, has recently received a great deal of attention, in particular due to its potential of application in some important problems in array processing. The present work investigates the implementation of the linearly constrained minimum variance (LCMV) algorithm proposed by Frost in the context of widely and strictly linear processing. The results are compared with those obtained via MVDR widely and strictly linear processing.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116582372","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":"Time-frequency multiplexing for time-encoded signals from brain-computer interfaces","authors":"S. Senay, L. Chaparro, Mingui Sun, R. Sclabassi","doi":"10.5281/ZENODO.41638","DOIUrl":"https://doi.org/10.5281/ZENODO.41638","url":null,"abstract":"Brain-computer interfaces (BCI) provide a way to monitor and treat neurological diseases. These interfaces contain an array of sensors that gather and transmit data. Given low-power and no-clock limitations, asynchronous sigma delta modulators (ASDMs) are considered as an alternative to synchronous analog to digital conversion. ASDMs are non-linear feedback systems that enable time-encoding of analog signals. In this paper we provide an efficient reconstruction of time-encoded band-limited signals using a prolate spheroidal waveform (PSW) projection. Furthermore, we show how a modified orthogonal frequency division multiplexing (OFDM) technique using chirp modulation can be used to transmit an array of time-encoded signals emanating from the BCI. Our method generalizes the chirp modulation of binary streams with non-uniform symbol duration.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125008125","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":"Estimation of visual evoked potentials for measurement of optical pathway conduction","authors":"M. Yusoff, N. Kamel","doi":"10.5281/ZENODO.41362","DOIUrl":"https://doi.org/10.5281/ZENODO.41362","url":null,"abstract":"A time domain constrained subspace-based estimator for extracting a visual evoked potential (VEP) from a highly noisy brain activity is proposed. Generally, the desired VEP is corrupted by background electroencephalogram (EEG) behaving as colored noise, making the overall signal-to-noise ratio as low as -10 dB. The estimator is designed to minimize signal distortion, while keeping residual noise below a specified threshold. Also, the algorithm applies a Karhunen-Loeve transform to decorrelate the corrupted VEP signal and decompose it into two parts called signal and noise subspace. Before an inverse Karhunen-Loeve transform is applied, the noise only subspace is discarded. VEP enhancement is therefore achieved by estimating the desired VEP only from the signal subspace. The performance of the filter to detect the latencies of P100's is comprehensively assessed using realistically simulated VEP and EEG data. Later, the effectiveness and validity of the algorithm are evaluated using real patient data recorded in a clinical environment. The results from both experiments show that the estimator generates reasonably low errors and high success rate.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"41 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113969814","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":"Multifrequency absolute phase estimation via graph cuts","authors":"J. Bioucas-Dias, Gonçalo Valadão","doi":"10.5281/ZENODO.41654","DOIUrl":"https://doi.org/10.5281/ZENODO.41654","url":null,"abstract":"Many imaging systems, e.g., interferometric synthetic aperture radar (InSAR), yield phase images. These systems retrieve the phase up to a modulo-2π rad ambiguity, i.e., the phase is wrapped into the principal interval [-π π). Phase unwrapping (PU) is, then, a crucial inverse problem to obtain absolute phase, which is what embodies physical information. If the phase difference between neighboring pixels is less than π rad, then, phase unwrapping can be obtained unambiguously. This, however, is not always the case. For example, in InSAR, where absolute phase is proportional to the terrain elevation, we often face neighbor phase differences much larger than π rad. The PU problem is even more challenging for noisy images. This paper proposes a diversity approach, which consists of using two (or more) images of the same scene acquired with different frequencies. Diversity grants an enlargement of the ambiguity interval [-π π), thus, allowing to unwrap images with high phase rates. Furthermore, this paper presents a multi-resolution technique to make denoising. We formulate both tasks as integer optimization problems, which we tackle by using graph cuts techniques. We illustrate the effectiveness of our methodology by showing experimental results, which are, to our knowledge, state-of-the art competitive.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"32 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122542956","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":"Comparison of independent component and independent subspace analysis algorithms","authors":"Zbyněk Koldovský, P. Tichavský","doi":"10.5281/ZENODO.41458","DOIUrl":"https://doi.org/10.5281/ZENODO.41458","url":null,"abstract":"Recent advances in separation of convolutive mixtures of audio signals have shown that the problem can be successfully solved in time-domain in a multistep procedure including an application of some method of instantaneous independent component analysis (ICA) or independent subspace analysis (ISA), as one of the steps. In this paper we propose a test that allows a comparison of different ICA and ISA algorithms from this perspective. The test consists in evaluating separation of a pseudo-convolutive mixture of given independent signals. The mixture has features of real-world convolutive mixtures and of instantaneous mixtures simultaneously. We apply the proposed test to compare performance of several ICA and ISA algorithms in four different scenarios, taking in mind that suitability of the algorithms depends on properties of the separated signals.","PeriodicalId":106989,"journal":{"name":"2009 17th European Signal Processing Conference","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121274836","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}