The Experts below are selected from a list of 115008 Experts worldwide ranked by ideXlab platform
J. Garrigos - One of the best experts on this subject based on the ideXlab platform.
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Empirical Model generations of microwave devices exploiting linear regression Models
10th IEEE Symposium on Computers and Communications (ISCC'05), 2005Co-Authors: G. Domenech, J. Hinojosa, J. Martinez, J. GarrigosAbstract:In this paper, we propose two Empirical Model generation techniques of microwave devices for a large range of geometric and material parameters opportunely chosen. The Empirical Models are based on an initial inaccurate Empirical Model and linear-regression Models. The linear-regression Models compensate the error between the initial inaccurate Empirical Model and an electromagnetic simulator or measurement data. These techniques provide accurate Empirical Models computationally very efficient with respect to any electromagnetic technique. Moreover, these simple Models could be easily integrated in a toolbox of any commercially available computed-aided design (CAD) tool for RF/microwave circuits. The two techniques have been successfully tested for two microwave tunable phase shifters.
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Empirical Model optimization of microwave devices exploiting genetic algorithms
10th IEEE Symposium on Computers and Communications (ISCC'05), 2005Co-Authors: J. Garrigos, J. Martinez, J. Hinojosa, G. DomenechAbstract:Genetic algorithms (GAs) have shown to be suitable for optimizing real value functions with a considerably large number of variables. Thus, we have applied GA to develop an equivalent-circuit or Empirical Model optimization technique of microwave devices. The result of the optimization provides accurate device Modeling for geometric and material parameters chosen and therefore, Models computationally very efficient with respect to any electromagnetic technique. This technique is illustrated for a tunable microwave phase shifter whose dispersion Model has been optimized for a fixed structure.
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ISCC - Empirical Model generations of microwave devices exploiting linear regression Models
10th IEEE Symposium on Computers and Communications (ISCC'05), 2005Co-Authors: G. Domenech, J. Hinojosa, J. Martinez, J. GarrigosAbstract:In this paper, we propose two Empirical Model generation techniques of microwave devices for a large range of geometric and material parameters opportunely chosen. The Empirical Models are based on an initial inaccurate Empirical Model and linear-regression Models. The linear-regression Models compensate the error between the initial inaccurate Empirical Model and an electromagnetic simulator or measurement data. These techniques provide accurate Empirical Models computationally very efficient with respect to any electromagnetic technique. Moreover, these simple Models could be easily integrated in a toolbox of any commercially available computed-aided design (CAD) tool for RF/microwave circuits. The two techniques have been successfully tested for two microwave tunable phase shifters.
G. Domenech - One of the best experts on this subject based on the ideXlab platform.
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Empirical Model generations of microwave devices exploiting linear regression Models
10th IEEE Symposium on Computers and Communications (ISCC'05), 2005Co-Authors: G. Domenech, J. Hinojosa, J. Martinez, J. GarrigosAbstract:In this paper, we propose two Empirical Model generation techniques of microwave devices for a large range of geometric and material parameters opportunely chosen. The Empirical Models are based on an initial inaccurate Empirical Model and linear-regression Models. The linear-regression Models compensate the error between the initial inaccurate Empirical Model and an electromagnetic simulator or measurement data. These techniques provide accurate Empirical Models computationally very efficient with respect to any electromagnetic technique. Moreover, these simple Models could be easily integrated in a toolbox of any commercially available computed-aided design (CAD) tool for RF/microwave circuits. The two techniques have been successfully tested for two microwave tunable phase shifters.
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Empirical Model optimization of microwave devices exploiting genetic algorithms
10th IEEE Symposium on Computers and Communications (ISCC'05), 2005Co-Authors: J. Garrigos, J. Martinez, J. Hinojosa, G. DomenechAbstract:Genetic algorithms (GAs) have shown to be suitable for optimizing real value functions with a considerably large number of variables. Thus, we have applied GA to develop an equivalent-circuit or Empirical Model optimization technique of microwave devices. The result of the optimization provides accurate device Modeling for geometric and material parameters chosen and therefore, Models computationally very efficient with respect to any electromagnetic technique. This technique is illustrated for a tunable microwave phase shifter whose dispersion Model has been optimized for a fixed structure.
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ISCC - Empirical Model generations of microwave devices exploiting linear regression Models
10th IEEE Symposium on Computers and Communications (ISCC'05), 2005Co-Authors: G. Domenech, J. Hinojosa, J. Martinez, J. GarrigosAbstract:In this paper, we propose two Empirical Model generation techniques of microwave devices for a large range of geometric and material parameters opportunely chosen. The Empirical Models are based on an initial inaccurate Empirical Model and linear-regression Models. The linear-regression Models compensate the error between the initial inaccurate Empirical Model and an electromagnetic simulator or measurement data. These techniques provide accurate Empirical Models computationally very efficient with respect to any electromagnetic technique. Moreover, these simple Models could be easily integrated in a toolbox of any commercially available computed-aided design (CAD) tool for RF/microwave circuits. The two techniques have been successfully tested for two microwave tunable phase shifters.
J. Hinojosa - One of the best experts on this subject based on the ideXlab platform.
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Empirical Model generations of microwave devices exploiting linear regression Models
10th IEEE Symposium on Computers and Communications (ISCC'05), 2005Co-Authors: G. Domenech, J. Hinojosa, J. Martinez, J. GarrigosAbstract:In this paper, we propose two Empirical Model generation techniques of microwave devices for a large range of geometric and material parameters opportunely chosen. The Empirical Models are based on an initial inaccurate Empirical Model and linear-regression Models. The linear-regression Models compensate the error between the initial inaccurate Empirical Model and an electromagnetic simulator or measurement data. These techniques provide accurate Empirical Models computationally very efficient with respect to any electromagnetic technique. Moreover, these simple Models could be easily integrated in a toolbox of any commercially available computed-aided design (CAD) tool for RF/microwave circuits. The two techniques have been successfully tested for two microwave tunable phase shifters.
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Empirical Model optimization of microwave devices exploiting genetic algorithms
10th IEEE Symposium on Computers and Communications (ISCC'05), 2005Co-Authors: J. Garrigos, J. Martinez, J. Hinojosa, G. DomenechAbstract:Genetic algorithms (GAs) have shown to be suitable for optimizing real value functions with a considerably large number of variables. Thus, we have applied GA to develop an equivalent-circuit or Empirical Model optimization technique of microwave devices. The result of the optimization provides accurate device Modeling for geometric and material parameters chosen and therefore, Models computationally very efficient with respect to any electromagnetic technique. This technique is illustrated for a tunable microwave phase shifter whose dispersion Model has been optimized for a fixed structure.
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ISCC - Empirical Model generations of microwave devices exploiting linear regression Models
10th IEEE Symposium on Computers and Communications (ISCC'05), 2005Co-Authors: G. Domenech, J. Hinojosa, J. Martinez, J. GarrigosAbstract:In this paper, we propose two Empirical Model generation techniques of microwave devices for a large range of geometric and material parameters opportunely chosen. The Empirical Models are based on an initial inaccurate Empirical Model and linear-regression Models. The linear-regression Models compensate the error between the initial inaccurate Empirical Model and an electromagnetic simulator or measurement data. These techniques provide accurate Empirical Models computationally very efficient with respect to any electromagnetic technique. Moreover, these simple Models could be easily integrated in a toolbox of any commercially available computed-aided design (CAD) tool for RF/microwave circuits. The two techniques have been successfully tested for two microwave tunable phase shifters.
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Empirical Model generation techniques for planar microwave components using electromagnetic linear regression Models
IEEE Transactions on Microwave Theory and Techniques, 2005Co-Authors: G. Domenech-asensi, J. Hinojosa, J. Martinez-alajarin, J. Garrigos-guerreroAbstract:Accurate and efficient Empirical Model generation techniques of microwave devices, for a large range of geometric and material parameters opportunely chosen, are presented. The Empirical Models are based on multiple linear regression approach, which compensates the error between an initial inaccurate Empirical Model and an electromagnetic (EM) full-wave solver (or measurement data). The aim of these techniques is to generate accurate Empirical Models, which are computationally very efficient with respect to any EM technique. These simple Models could be integrated in a toolbox of any commercially available computed-aided design tools for RF/microwave circuits. Comparisons with artificial neural networks and linear-regression-based Models are listed and discussed for the dispersion of a microstrip transmission line propagating the quasi-TEM mode and a microwave tunable phase shifter propagating the even mode.
J. Martinez - One of the best experts on this subject based on the ideXlab platform.
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Empirical Model generations of microwave devices exploiting linear regression Models
10th IEEE Symposium on Computers and Communications (ISCC'05), 2005Co-Authors: G. Domenech, J. Hinojosa, J. Martinez, J. GarrigosAbstract:In this paper, we propose two Empirical Model generation techniques of microwave devices for a large range of geometric and material parameters opportunely chosen. The Empirical Models are based on an initial inaccurate Empirical Model and linear-regression Models. The linear-regression Models compensate the error between the initial inaccurate Empirical Model and an electromagnetic simulator or measurement data. These techniques provide accurate Empirical Models computationally very efficient with respect to any electromagnetic technique. Moreover, these simple Models could be easily integrated in a toolbox of any commercially available computed-aided design (CAD) tool for RF/microwave circuits. The two techniques have been successfully tested for two microwave tunable phase shifters.
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Empirical Model optimization of microwave devices exploiting genetic algorithms
10th IEEE Symposium on Computers and Communications (ISCC'05), 2005Co-Authors: J. Garrigos, J. Martinez, J. Hinojosa, G. DomenechAbstract:Genetic algorithms (GAs) have shown to be suitable for optimizing real value functions with a considerably large number of variables. Thus, we have applied GA to develop an equivalent-circuit or Empirical Model optimization technique of microwave devices. The result of the optimization provides accurate device Modeling for geometric and material parameters chosen and therefore, Models computationally very efficient with respect to any electromagnetic technique. This technique is illustrated for a tunable microwave phase shifter whose dispersion Model has been optimized for a fixed structure.
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ISCC - Empirical Model generations of microwave devices exploiting linear regression Models
10th IEEE Symposium on Computers and Communications (ISCC'05), 2005Co-Authors: G. Domenech, J. Hinojosa, J. Martinez, J. GarrigosAbstract:In this paper, we propose two Empirical Model generation techniques of microwave devices for a large range of geometric and material parameters opportunely chosen. The Empirical Models are based on an initial inaccurate Empirical Model and linear-regression Models. The linear-regression Models compensate the error between the initial inaccurate Empirical Model and an electromagnetic simulator or measurement data. These techniques provide accurate Empirical Models computationally very efficient with respect to any electromagnetic technique. Moreover, these simple Models could be easily integrated in a toolbox of any commercially available computed-aided design (CAD) tool for RF/microwave circuits. The two techniques have been successfully tested for two microwave tunable phase shifters.
J. Garrigos-guerrero - One of the best experts on this subject based on the ideXlab platform.
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Empirical Model generation techniques for planar microwave components using electromagnetic linear regression Models
IEEE Transactions on Microwave Theory and Techniques, 2005Co-Authors: G. Domenech-asensi, J. Hinojosa, J. Martinez-alajarin, J. Garrigos-guerreroAbstract:Accurate and efficient Empirical Model generation techniques of microwave devices, for a large range of geometric and material parameters opportunely chosen, are presented. The Empirical Models are based on multiple linear regression approach, which compensates the error between an initial inaccurate Empirical Model and an electromagnetic (EM) full-wave solver (or measurement data). The aim of these techniques is to generate accurate Empirical Models, which are computationally very efficient with respect to any EM technique. These simple Models could be integrated in a toolbox of any commercially available computed-aided design tools for RF/microwave circuits. Comparisons with artificial neural networks and linear-regression-based Models are listed and discussed for the dispersion of a microstrip transmission line propagating the quasi-TEM mode and a microwave tunable phase shifter propagating the even mode.
