The Experts below are selected from a list of 13317 Experts worldwide ranked by ideXlab platform
F Bimbot - One of the best experts on this subject based on the ideXlab platform.
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signal modeling with non Uniform Topology lattice filters
International Conference on Acoustics Speech and Signal Processing, 2001Co-Authors: S Krstulovic, F BimbotAbstract:This article presents a new class of constrained and specialized autoregressive (AR) processes. They are derived from lattice filters where some reflection coefficients are forced to zero at a priori locations. Optimizing the filter Topology allows to build parametric spectral models that have a greater number of poles than the number of parameters needed to describe their location. These NUT (non-Uniform Topology) models are assessed by evaluating the reduction of modeling error with respect to conventional AR models.
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ICASSP - Signal modeling with non-Uniform Topology lattice filters
2001 IEEE International Conference on Acoustics Speech and Signal Processing. Proceedings (Cat. No.01CH37221), 1Co-Authors: S Krstulovic, F BimbotAbstract:This article presents a new class of constrained and specialized autoregressive (AR) processes. They are derived from lattice filters where some reflection coefficients are forced to zero at a priori locations. Optimizing the filter Topology allows to build parametric spectral models that have a greater number of poles than the number of parameters needed to describe their location. These NUT (non-Uniform Topology) models are assessed by evaluating the reduction of modeling error with respect to conventional AR models.
S Krstulovic - One of the best experts on this subject based on the ideXlab platform.
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signal modeling with non Uniform Topology lattice filters
International Conference on Acoustics Speech and Signal Processing, 2001Co-Authors: S Krstulovic, F BimbotAbstract:This article presents a new class of constrained and specialized autoregressive (AR) processes. They are derived from lattice filters where some reflection coefficients are forced to zero at a priori locations. Optimizing the filter Topology allows to build parametric spectral models that have a greater number of poles than the number of parameters needed to describe their location. These NUT (non-Uniform Topology) models are assessed by evaluating the reduction of modeling error with respect to conventional AR models.
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ICASSP - Signal modeling with non-Uniform Topology lattice filters
2001 IEEE International Conference on Acoustics Speech and Signal Processing. Proceedings (Cat. No.01CH37221), 1Co-Authors: S Krstulovic, F BimbotAbstract:This article presents a new class of constrained and specialized autoregressive (AR) processes. They are derived from lattice filters where some reflection coefficients are forced to zero at a priori locations. Optimizing the filter Topology allows to build parametric spectral models that have a greater number of poles than the number of parameters needed to describe their location. These NUT (non-Uniform Topology) models are assessed by evaluating the reduction of modeling error with respect to conventional AR models.
Florian-horia Vasilescu - One of the best experts on this subject based on the ideXlab platform.
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A Uniform Ergodic Theorem for Commuting Semigroups
Journal of the London Mathematical Society, 1998Co-Authors: Mostafa Mbekhta, Florian-horia VasilescuAbstract:The existence of the limit, in the Uniform Topology, of the averages of a finite family of commuting strongly continuous semigroups of bounded linear operators in a Banach space is characterised in terms of infinitesimal generators.
Michael Maiwald - One of the best experts on this subject based on the ideXlab platform.
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Sensor Roadmap 4.0 – Prospects towards a Uniform Topology for process control and smart sensor networks
2017Co-Authors: Michael MaiwaldAbstract:Smart functions of sensors simplify their use and enable plug-and-play, even though they are more complex. This is particularly important for, self-diagnostics, self-calibration and self-configuration/parameterization. Intelligent field devices, digital field networks, Internet Protocol (IP)-enabled connectivity and web services, historians, and advanced data analysis software are providing the basis for the future project “Industrie 4.0” and Industrial Internet of Things (IIoT). Important smart features include connectivity and communication ability according to a unified protocol (OPC-UA currently most widely discussed), maintenance and operating functions, traceability and compliance, virtual description to support a continuous engineering, and well as interaction capabilities between sensors. This is a prerequisite for the realization of Cyber Physical Systems (CPS) within these future automation concepts for the process industry. Therefore, smart process sensors enable new business models for users, device manufacturers, and service providers. The departure from current automation to smart sensor has already begun. Further development is based on the actual situation over several steps. Possible perspectives will be via additional communication channels to mobile devices, bidirectional communication, integration of the cloud and virtualization. The integration of virtual runtime environments can provide a more flexible Topology for process control environments. The talk summarizes the currently discussed requirements to process sensors 4.0 and introduces an online NMR sensor as an example, which was developed in the EU project CONSENS.
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sensor roadmap 4 0 prospects towards a Uniform Topology for process control and smart sensor networks
2017Co-Authors: Michael MaiwaldAbstract:Smart functions of sensors simplify their use and enable plug-and-play, even though they are more complex. This is particularly important for, self-diagnostics, self-calibration and self-configuration/parameterization. Intelligent field devices, digital field networks, Internet Protocol (IP)-enabled connectivity and web services, historians, and advanced data analysis software are providing the basis for the future project “Industrie 4.0” and Industrial Internet of Things (IIoT). Important smart features include connectivity and communication ability according to a unified protocol (OPC-UA currently most widely discussed), maintenance and operating functions, traceability and compliance, virtual description to support a continuous engineering, and well as interaction capabilities between sensors. This is a prerequisite for the realization of Cyber Physical Systems (CPS) within these future automation concepts for the process industry. Therefore, smart process sensors enable new business models for users, device manufacturers, and service providers. The departure from current automation to smart sensor has already begun. Further development is based on the actual situation over several steps. Possible perspectives will be via additional communication channels to mobile devices, bidirectional communication, integration of the cloud and virtualization. The integration of virtual runtime environments can provide a more flexible Topology for process control environments. The talk summarizes the currently discussed requirements to process sensors 4.0 and introduces an online NMR sensor as an example, which was developed in the EU project CONSENS.
Xiao Long Xin - One of the best experts on this subject based on the ideXlab platform.
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Uniform Topology on EQ -algebras
Open Mathematics, 2017Co-Authors: Jiang Yang, Xiao Long XinAbstract:Abstract In this paper, we use filters of an EQ-algebra E to induce a Uniform structure (E,
