الفهرس الالي لمكتبة كلية العلوم و علوم التكنولوجيا
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High-performance D/A-converters / Martin Clara
Titre : High-performance D/A-converters : application to digital transceivers Type de document : texte imprimé Auteurs : Martin Clara ; SpringerLink (Service en ligne Editeur : Heidelberg : Springer-Verlag Année de publication : 2013 Importance : 1 texte électronique Présentation : fichiers PDF Format : 24 *17cm ISBN/ISSN/EAN : 978-3-642-31229-8 Note générale : In SpringerLink Titre de l'écran-titre (visionné le 12 mars 2013) Langues : Français (fre) Mots-clés : High performance D/A converters PERFORMANCE FIGURE OF D/A CONVERTERS DYNAMIC LINCARDY NOISESSHAPED D/A CONVERTERS ADVANCED CURRENT CALIBRATION CONCLUSION AND CALIBRATIONJ CONCLUSION AND OUTLOOK DAC BIAS MODEL JITTER NOISE Index. décimale : 621.3 Résumé : In SpringerLink Titre de l'écran-titre (visionné le 12 mars 2013) This book deals with modeling and implementation of high performance, current-steering D/A-converters for digital transceivers in nanometer CMOS technology. In the first part, the fundamental performance limitations of current-steering DACs are discussed. Based on simplified models, closed-form expressions for a number of basic non-ideal effects are derived and tested. With the knowledge of basic performance limits, the converter and system architecture can be optimized in an early design phase, trading off circuit complexity, silicon area and power dissipation for static and dynamic performance. The second part describes four different current-steering DAC designs in standard 130 nm CMOS. The converters have a resolution in the range of 12-14 bits for an analog bandwidth between 2.2 MHz and 50 MHz and sampling rates from 100 MHz to 350 MHz. Dynamic-Element-Matching (DEM) and advanced dynamic current calibration techniques are employed to minimize the required silicon area. Note de contenu : This book deals with modeling and implementation of high performance, current-steering D/A-converters for digital transceivers in nanometer CMOS technology. In the first part, the fundamental performance limitations of current-steering DACs are discussed. Based on simplified models, closed-form expressions for a number of basic non-ideal effects are derived and tested. With the knowledge of basic performance limits, the converter and system architecture can be optimized in an early design phase, trading off circuit complexity, silicon area and power dissipation for static and dynamic performance. The second part describes four different current-steering DAC designs in standard 130 nm CMOS. The converters have a resolution in the range of 12-14 bits for an analog bandwidth between 2.2 MHz and 50 MHz and sampling rates from 100 MHz to 350 MHz. Dynamic-Element-Matching (DEM) and advanced dynamic current calibration techniques are employed to minimize the required silicon area. High-performance D/A-converters : application to digital transceivers [texte imprimé] / Martin Clara ; SpringerLink (Service en ligne . - Heidelberg : Springer-Verlag, 2013 . - 1 texte électronique : fichiers PDF ; 24 *17cm.
ISBN : 978-3-642-31229-8
In SpringerLink Titre de l'écran-titre (visionné le 12 mars 2013)
Langues : Français (fre)
Mots-clés : High performance D/A converters PERFORMANCE FIGURE OF D/A CONVERTERS DYNAMIC LINCARDY NOISESSHAPED D/A CONVERTERS ADVANCED CURRENT CALIBRATION CONCLUSION AND CALIBRATIONJ CONCLUSION AND OUTLOOK DAC BIAS MODEL JITTER NOISE Index. décimale : 621.3 Résumé : In SpringerLink Titre de l'écran-titre (visionné le 12 mars 2013) This book deals with modeling and implementation of high performance, current-steering D/A-converters for digital transceivers in nanometer CMOS technology. In the first part, the fundamental performance limitations of current-steering DACs are discussed. Based on simplified models, closed-form expressions for a number of basic non-ideal effects are derived and tested. With the knowledge of basic performance limits, the converter and system architecture can be optimized in an early design phase, trading off circuit complexity, silicon area and power dissipation for static and dynamic performance. The second part describes four different current-steering DAC designs in standard 130 nm CMOS. The converters have a resolution in the range of 12-14 bits for an analog bandwidth between 2.2 MHz and 50 MHz and sampling rates from 100 MHz to 350 MHz. Dynamic-Element-Matching (DEM) and advanced dynamic current calibration techniques are employed to minimize the required silicon area. Note de contenu : This book deals with modeling and implementation of high performance, current-steering D/A-converters for digital transceivers in nanometer CMOS technology. In the first part, the fundamental performance limitations of current-steering DACs are discussed. Based on simplified models, closed-form expressions for a number of basic non-ideal effects are derived and tested. With the knowledge of basic performance limits, the converter and system architecture can be optimized in an early design phase, trading off circuit complexity, silicon area and power dissipation for static and dynamic performance. The second part describes four different current-steering DAC designs in standard 130 nm CMOS. The converters have a resolution in the range of 12-14 bits for an analog bandwidth between 2.2 MHz and 50 MHz and sampling rates from 100 MHz to 350 MHz. Dynamic-Element-Matching (DEM) and advanced dynamic current calibration techniques are employed to minimize the required silicon area. Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité ST615 621.3/78.1 Ouvrage Faculté des Sciences et de la Technologie 600 - Technologie (Sciences appliquées) Exclu du prêt Image-based geometric modeling and mesh generation / Jessica Zhang ; SpringerLink (Service en ligne
Titre : Image-based geometric modeling and mesh generation Type de document : texte imprimé Auteurs : Jessica Zhang ; SpringerLink (Service en ligne Editeur : Dordrecht : Springer Année de publication : 2013 Importance : 1 texte électronique Présentation : fichiers PDF Format : 24 *17cm ISBN/ISSN/EAN : 978-94-007-4255-0 Note générale : ASIN : B00A9YGQKA
Éditeur : Springer; 2013e édition (3 juillet 2012)
Langue : Anglais
Taille du fichier : 14122 KB
Synthèse vocale : Activée
Lecteur d’écran : Pris en charge
Confort de lecture : ActivéLangues : Français (fre) Mots-clés : Image based geometric modeling mesh generation challenges advances in image surface realignment trackingfor medical combined level set meshwarping optimization based iterative high quality construction of models and meshes of heterogeneous material finite element modeling of biomolecular Index. décimale : 621.3 Résumé : pAs a new interdisciplinary research area, "image-based geometric modeling and mesh generation" integrates image processing, geometric modeling and mesh generation with finite element method (FEM) to solve problems in computational biomedicine, materials sciences and engineering. It is well known that FEM is currently well-developed and efficient, but mesh generation for complex geometries (e.g., the human body) still takes about 80% of the total analysis time and is the major obstacle to reduce the total computation time.
It is mainly because none of the traditional approaches is sufficient to effectively construct finite element meshes for arbitrarily complicated domains, and generally a great deal of manual interaction is involved in mesh generation./pppThis contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications./pp/ppThis contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area.
These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications./pppThis contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area.
These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications./pppThis contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area.
These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications./ppp -As a new interdisciplinary research area, “image-based geometric modeling and mesh generation” integrates image processing, geometric modeling and mesh generation with finite element method (FEM) to solve problems in computational biomedicine, materials sciences and engineering. It is well known that FEM is currently well-developed and efficient, but mesh generation for complex geometries (e.g., the human body) still takes about 80% of the total analysis time and is the major obstacle to reduce the total computation time. It is mainly because none of the traditional approaches is sufficient to effectively construct finite element meshes for arbitrarily complicated domains, and generally a great deal of manual interaction is involved in mesh generation.
This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.
This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.
This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.
This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.Note de contenu : In SpringerLink Titre de l'écran-titre (visionné le 24 août 2012) Image-based geometric modeling and mesh generation [texte imprimé] / Jessica Zhang ; SpringerLink (Service en ligne . - Dordrecht : Springer, 2013 . - 1 texte électronique : fichiers PDF ; 24 *17cm.
ISBN : 978-94-007-4255-0
ASIN : B00A9YGQKA
Éditeur : Springer; 2013e édition (3 juillet 2012)
Langue : Anglais
Taille du fichier : 14122 KB
Synthèse vocale : Activée
Lecteur d’écran : Pris en charge
Confort de lecture : Activé
Langues : Français (fre)
Mots-clés : Image based geometric modeling mesh generation challenges advances in image surface realignment trackingfor medical combined level set meshwarping optimization based iterative high quality construction of models and meshes of heterogeneous material finite element modeling of biomolecular Index. décimale : 621.3 Résumé : pAs a new interdisciplinary research area, "image-based geometric modeling and mesh generation" integrates image processing, geometric modeling and mesh generation with finite element method (FEM) to solve problems in computational biomedicine, materials sciences and engineering. It is well known that FEM is currently well-developed and efficient, but mesh generation for complex geometries (e.g., the human body) still takes about 80% of the total analysis time and is the major obstacle to reduce the total computation time.
It is mainly because none of the traditional approaches is sufficient to effectively construct finite element meshes for arbitrarily complicated domains, and generally a great deal of manual interaction is involved in mesh generation./pppThis contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications./pp/ppThis contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area.
These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications./pppThis contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area.
These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications./pppThis contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area.
These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications./ppp -As a new interdisciplinary research area, “image-based geometric modeling and mesh generation” integrates image processing, geometric modeling and mesh generation with finite element method (FEM) to solve problems in computational biomedicine, materials sciences and engineering. It is well known that FEM is currently well-developed and efficient, but mesh generation for complex geometries (e.g., the human body) still takes about 80% of the total analysis time and is the major obstacle to reduce the total computation time. It is mainly because none of the traditional approaches is sufficient to effectively construct finite element meshes for arbitrarily complicated domains, and generally a great deal of manual interaction is involved in mesh generation.
This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.
This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.
This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.
This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.Note de contenu : In SpringerLink Titre de l'écran-titre (visionné le 24 août 2012) Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité ST668 621.3/112.1 Ouvrage Faculté des Sciences et de la Technologie 600 - Technologie (Sciences appliquées) Exclu du prêt