{"title":"MMSE speech enhancement based on GMM and solving an over-determined system of equations","authors":"S. Chehresa, M. Savoji","doi":"10.1109/WISP.2011.6051692","DOIUrl":"https://doi.org/10.1109/WISP.2011.6051692","url":null,"abstract":"A new and effective algorithm is proposed in this paper based on Gaussian Mixture Modelling (GMM) and Minimum Mean Square Error (MMSE) criterion for speech enhancement where no assumption is made on the nature or stationarity of the noise. No Voice Activity Detection (VAD) or any other means is used to estimate the input Signal to Noise Ratio (SNR). The mean vectors of the mixture models of spectral magnitudes derived from models of speech and different noise sources power spectra are used to form sets of over-determined system of equations, as many as noise source candidates, whose solutions lead to the MMSE estimations of speech and additive noise spectral magnitudes. The corresponding power spectra are then used for noise suppression by applying Wiener filtering carried out on overlapping frames. The input SNR is estimated and the nature of the noise involved is determined as by-products of the method used. Results are compared with codebook constrained methods that have shown very good results but suffer from long processing times. It is shown that, at the cost of a slight lower improvement in SNR and PESQ score, the new algorithm reduces the computation time to one fifth which makes it suitable for practical applications.","PeriodicalId":223520,"journal":{"name":"2011 IEEE 7th International Symposium on Intelligent Signal Processing","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133897481","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":"Wavelet-based image enhancement using fourth order PDE","authors":"Ehsan Nadernejad, Søren Forchhammer","doi":"10.1109/WISP.2011.6051688","DOIUrl":"https://doi.org/10.1109/WISP.2011.6051688","url":null,"abstract":"The presence of noise interference signal may cause problems in signal and image analysis; hence signal and image de-noising is often used as a preprocessing stage in many signal processing applications. In this paper, a new method is presented for image de-noising based on fourth order partial differential equations (PDEs) and wavelet transform. In the existing wavelet thresholding methods, the final noise reduced image has limited improvement. It is due to keeping the approximate coefficients of the image unchanged. These coefficients have the main information of the image. Since noise affects both the approximate and detail coefficients, in this research, the anisotropic diffusion technique for noise reduction is applied on the approximation band to alleviate the deficiency of the existing wavelet thresholding methods. The proposed method was applied on several standard noisy images and the results indicate superiority of the proposed method over the existing wavelet-based image de-noising, anisotropic diffusion, and wiener filtering techniques.","PeriodicalId":223520,"journal":{"name":"2011 IEEE 7th International Symposium on Intelligent Signal Processing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134581177","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":"Possibilities for intelligent sensor network assistance of product definition","authors":"L. Horváth, I. Rudas","doi":"10.1109/WISP.2011.6051722","DOIUrl":"https://doi.org/10.1109/WISP.2011.6051722","url":null,"abstract":"Engineering for the development, application, and recycling of products is recently supported by fully integrated model of product. Prototyping is moving to virtual by the application of sophisticated product models for complex simulations. Simulations rely upon knowledge representing experience, expertise and intelligence of engineers in knowledge wares. Increasing proportion of this knowledge is placed in the product model in the form of active rules, checks, and reactions. In case of any change of these knowledge representations, relevant product model entities are modified accordingly. This knowledge must be verified by practice. Consequently, interaction of virtual and physical worlds is anticipated as a main area for future research in product model based virtual engineering systems. The authors developed and published a novel knowledge based method for the definition of product objects during the recent years. In this paper, they conceptualize a possible integration of intelligent sensor networks with active knowledge in product models. They propose introduction of physical information space in order to receive engineering object related information from preprocessed sensor data. The proposed novel method is based on intelligent capabilities both in sensor and product modeling.","PeriodicalId":223520,"journal":{"name":"2011 IEEE 7th International Symposium on Intelligent Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114521479","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}
Bo Sun, P. Le, Abdullah M. Iliyasu, Fei Yan, J. A. Garcia, F. Dong, K. Hirota
{"title":"A Multi-Channel Representation for images on quantum computers using the RGBα color space","authors":"Bo Sun, P. Le, Abdullah M. Iliyasu, Fei Yan, J. A. Garcia, F. Dong, K. Hirota","doi":"10.1109/WISP.2011.6051718","DOIUrl":"https://doi.org/10.1109/WISP.2011.6051718","url":null,"abstract":"A Multi-Channel Representation for Quantum Image (MCRQI) is proposed to facilitate the further image processing tasks based on the Flexible Representation for Quantum Image (FRQI). Channel Swapping Operation, One Channel Operation, are proposed as basic image processing operations on MCRQI representation. The simulation experiment results on classical computer show that the channel information of R G B (color) and α (transparency) can be carried easily on quantum computer by employing three qubits to represent the color space, and also indicate that this MCRQI is very flexible to realize some classic-like operations. The MCRQI provides a foundation not only express image in RGBα color space, but also to explore theoretical and practical aspects of image processing on quantum computer.","PeriodicalId":223520,"journal":{"name":"2011 IEEE 7th International Symposium on Intelligent Signal Processing","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123237531","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}
A. Mandow, Tomás J. Cantador, A. García-Cerezo, A. Reina, Jorge L. Martínez, J. Morales
{"title":"Fuzzy modeling of natural terrain elevation from a 3D scanner point cloud","authors":"A. Mandow, Tomás J. Cantador, A. García-Cerezo, A. Reina, Jorge L. Martínez, J. Morales","doi":"10.1109/WISP.2011.6051705","DOIUrl":"https://doi.org/10.1109/WISP.2011.6051705","url":null,"abstract":"This paper reports on simplification of 3D point clouds for terrain maps. This is an important issue for mobile robot navigation and path planning in natural environments. Points cloud maps obtained from onboard 3D range-finders can provide a large amount of data which is not uniformly distributed and that can be incomplete due to occluded and out-of-range areas. This work exploits the suitability of fuzzy systems to manage uncertain and incomplete information in order to obtain a simplified representation of natural terrain elevation maps. This solution has been implemented with Matlab ANFIS. The method is tested with experimental data from a 3D laser scanner in an outdoor environment.","PeriodicalId":223520,"journal":{"name":"2011 IEEE 7th International Symposium on Intelligent Signal Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128421108","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}