The Experts below are selected from a list of 147606 Experts worldwide ranked by ideXlab platform
Olivier Saint-pé - One of the best experts on this subject based on the ideXlab platform.
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Theoretical models of modulation transfer function, quantum efficiency, and Crosstalk for CCD and CMOS image sensors
IEEE Transactions on Electron Devices, 2012Co-Authors: Ibrahima Djité, Magali Estribeau, Guy Rolland, Sophie Petit, Pierre Magnan, Olivier Saint-péAbstract:This paper proposes analytical models of modulation transfer function\n(MTF), quantum efficiency (QE), and Crosstalk for charge-coupled device\n(CCD) and CMOS image sensors. A unified MTF model for a CCD sensor built\non an epitaxial layer deposited on a highly doped substrate was\ndeveloped by Stevens. The Stevens model uses sinusoidal illumination to\ncalculate the sensor MTF degradation due to charge diffusion and\nsampling aperture as a function of spatial frequency. The drawback of\nthis approach is the difficulty to evaluate analytically the electrical\nCrosstalk distribution, which can be a good tool for predicting the\ndetector performances, particularly for smaller pixels. In this paper,\nwe use point-source illumination to evaluate the pixel response function\n(PRF). This approach is applied to the case of CMOS sensors and buried\nchannel CCD sensors. The MTF model includes the impact of pixel size and\ncharge diffusion. The QE model and Crosstalk distribution are directly\nderived from the PRF expression. The models can take into account an\nelectric field induced by a doping gradient.
J M Cioffi - One of the best experts on this subject based on the ideXlab platform.
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profile detection in multiuser digital subscriber line systems
IEEE Journal on Selected Areas in Communications, 2002Co-Authors: Atul Arvind Salvekar, J Louveaux, C Aldana, J L Fang, E De Carvalho, J M CioffiAbstract:Multiuser transmission methods for digital subscriber line (DSL) systems have become of interest with the potential for increased data rate and loop reach. These methods often assume that the set of Crosstalk interferers, called the Crosstalk profile, and their associated channel responses are known. For DSL systems, the interferers are often uncoordinated, so that in a dynamic environment where DSL transmitters can energize and deenergize, the Crosstalk profile cannot be transmitted to the user of interest. While the Crosstalk channel estimation problem in a dynamic environment can be intractable for general transmission systems, channel and Crosstalk analysis can make use of the specific DSL environment. Namely, the physical channels in a DSL system do not change rapidly, and hence estimates of the Crosstalk channel can be saved for future reference. For this reason, we introduce the concept of a channel profile. We develop several algorithms to detect the Crosstalk profile and investigate the asymptotic behavior of the new algorithms. Simulations show that for typical Crosstalk interference scenarios, the observation time to determine the correct Crosstalk profile at probability of error less than 10/sup -3/ can be less than 2 ms.
Atul Arvind Salvekar - One of the best experts on this subject based on the ideXlab platform.
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profile detection in multiuser digital subscriber line systems
IEEE Journal on Selected Areas in Communications, 2002Co-Authors: Atul Arvind Salvekar, J Louveaux, C Aldana, J L Fang, E De Carvalho, J M CioffiAbstract:Multiuser transmission methods for digital subscriber line (DSL) systems have become of interest with the potential for increased data rate and loop reach. These methods often assume that the set of Crosstalk interferers, called the Crosstalk profile, and their associated channel responses are known. For DSL systems, the interferers are often uncoordinated, so that in a dynamic environment where DSL transmitters can energize and deenergize, the Crosstalk profile cannot be transmitted to the user of interest. While the Crosstalk channel estimation problem in a dynamic environment can be intractable for general transmission systems, channel and Crosstalk analysis can make use of the specific DSL environment. Namely, the physical channels in a DSL system do not change rapidly, and hence estimates of the Crosstalk channel can be saved for future reference. For this reason, we introduce the concept of a channel profile. We develop several algorithms to detect the Crosstalk profile and investigate the asymptotic behavior of the new algorithms. Simulations show that for typical Crosstalk interference scenarios, the observation time to determine the correct Crosstalk profile at probability of error less than 10/sup -3/ can be less than 2 ms.
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Crosstalk profile detection for use in multiuser detection
ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240), 2001Co-Authors: Atul Arvind Salvekar, C Aldana, E De Carvalho, J. CioffiAbstract:Accurate identification of Crosstalk interferers can increase throughput by proper loading or multiuser detection. In some systems, such as cable based delivery systems, Crosstalk channel characteristics are finite and static. Furthermore, the type of service on each line does not change. The combination of the type of service and the channel characteristic is known as a Crosstalk profile. Specific methods are introduced that allow for the detection of a Crosstalk profile and further minimize the probability of error in selecting from the set of possible Crosstalk interference scenarios.
Irsa Talib - One of the best experts on this subject based on the ideXlab platform.
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A review on Crosstalk in myographic signals
European Journal of Applied Physiology, 2019Co-Authors: Irsa Talib, Kenneth Sundaraj, Chee Kiang Lam, Jawad Hussain, Md. Asraf AliAbstract:Purpose Crosstalk in myographic signals is a major hindrance to the understanding of local information related to individual muscle function. This review aims to analyse the problem of Crosstalk in electromyography and mechanomyography. Methods An initial search of the SCOPUS database using an appropriate set of keywords yielded 290 studies, and 59 potential studies were selected after all the records were screened using the eligibility criteria. This review on Crosstalk revealed that signal contamination due to Crosstalk remains a major challenge in the application of surface myography techniques. Various methods have been employed in previous studies to identify, quantify and reduce Crosstalk in surface myographic signals. Results Although correlation-based methods for Crosstalk quantification are easy to use, there is a possibility that co-contraction could be interpreted as Crosstalk. High-definition EMG has emerged as a new technique that has been successfully applied to reduce Crosstalk. Conclusions The phenomenon of Crosstalk needs to be investigated carefully because it depends on many factors related to muscle task and physiology. This review article not only provides a good summary of the literature on Crosstalk in myographic signals but also discusses new directions related to techniques for Crosstalk identification, quantification and reduction. The review also provides insights into muscle-related issues that impact Crosstalk in myographic signals.
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A review on Crosstalk in myographic signals
European journal of applied physiology, 2018Co-Authors: Irsa Talib, Kenneth Sundaraj, Chee Kiang Lam, Jawad Hussain, Asraf AliAbstract:Crosstalk in myographic signals is a major hindrance to the understanding of local information related to individual muscle function. This review aims to analyse the problem of Crosstalk in electromyography and mechanomyography. An initial search of the SCOPUS database using an appropriate set of keywords yielded 290 studies, and 59 potential studies were selected after all the records were screened using the eligibility criteria. This review on Crosstalk revealed that signal contamination due to Crosstalk remains a major challenge in the application of surface myography techniques. Various methods have been employed in previous studies to identify, quantify and reduce Crosstalk in surface myographic signals. Although correlation-based methods for Crosstalk quantification are easy to use, there is a possibility that co-contraction could be interpreted as Crosstalk. High-definition EMG has emerged as a new technique that has been successfully applied to reduce Crosstalk. The phenomenon of Crosstalk needs to be investigated carefully because it depends on many factors related to muscle task and physiology. This review article not only provides a good summary of the literature on Crosstalk in myographic signals but also discusses new directions related to techniques for Crosstalk identification, quantification and reduction. The review also provides insights into muscle-related issues that impact Crosstalk in myographic signals.
Ibrahima Djité - One of the best experts on this subject based on the ideXlab platform.
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Theoretical models of modulation transfer function, quantum efficiency, and Crosstalk for CCD and CMOS image sensors
IEEE Transactions on Electron Devices, 2012Co-Authors: Ibrahima Djité, Magali Estribeau, Guy Rolland, Sophie Petit, Pierre Magnan, Olivier Saint-péAbstract:This paper proposes analytical models of modulation transfer function\n(MTF), quantum efficiency (QE), and Crosstalk for charge-coupled device\n(CCD) and CMOS image sensors. A unified MTF model for a CCD sensor built\non an epitaxial layer deposited on a highly doped substrate was\ndeveloped by Stevens. The Stevens model uses sinusoidal illumination to\ncalculate the sensor MTF degradation due to charge diffusion and\nsampling aperture as a function of spatial frequency. The drawback of\nthis approach is the difficulty to evaluate analytically the electrical\nCrosstalk distribution, which can be a good tool for predicting the\ndetector performances, particularly for smaller pixels. In this paper,\nwe use point-source illumination to evaluate the pixel response function\n(PRF). This approach is applied to the case of CMOS sensors and buried\nchannel CCD sensors. The MTF model includes the impact of pixel size and\ncharge diffusion. The QE model and Crosstalk distribution are directly\nderived from the PRF expression. The models can take into account an\nelectric field induced by a doping gradient.
