Piet Vanassche, Georges Gielen, Willy M Sansen
Systematic Modeling and Analysis of Telecom Frontends and their Building Blocks (eBook, PDF)
149,79 €
inkl. MwSt.
Sofort per Download lieferbar
Piet Vanassche, Georges Gielen, Willy M Sansen
Systematic Modeling and Analysis of Telecom Frontends and their Building Blocks (eBook, PDF)
- Format: PDF
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
- Geräte: PC
- ohne Kopierschutz
- eBook Hilfe
- Größe: 10.17MB
- Upload möglich
Andere Kunden interessierten sich auch für
- Ben U Seng PanDesign of Very High-Frequency Multirate Switched-Capacitor Circuits (eBook, PDF)96,29 €
- Federico BruccoleriWideband Low Noise Amplifiers Exploiting Thermal Noise Cancellation (eBook, PDF)149,79 €
- Ayman FayedAdaptive Techniques for Mixed Signal System on Chip (eBook, PDF)96,29 €
- Dynamic Characterisation of Analogue-to-Digital Converters (eBook, PDF)149,79 €
- Libin YaoLow-Power Low-Voltage Sigma-Delta Modulators in Nanometer CMOS (eBook, PDF)96,29 €
- Sasa RadovanovicHigh-Speed Photodiodes in Standard CMOS Technology (eBook, PDF)96,29 €
- Konstantinos DorisWide-Bandwidth High Dynamic Range D/A Converters (eBook, PDF)149,79 €
-
-
-
Produktdetails
- Verlag: Springer US
- Erscheinungstermin: 24. Oktober 2005
- Englisch
- ISBN-13: 9781402031748
- Artikelnr.: 37363229
Piet Vanassche, Katholieke Universiteit Leuven, Heverlee, Belgium / Georges Gielen, Katholieke Universiteit Leuven, Heverlee, Belgium / Willy Sansen, Katholieke Universiteit Leuven, Heverlee, Belgium
Foreword.- Contributing Authors.- Contents.- Symbols and Abbreviations.- 1. Introduction.- 2. Modeling and analysis of telecom frontends: basic concepts.- 3. A framework for frequency-domain analysis of linear periodically timevarying Systems.- 4. Applications of LPTV system analysis using harmonic transfer matrices.- 5. Modeling oscillator dynamic behavior.- 6. Conclusions.- A. HTM norms and the comparison of HTMs.- B. The Sherman-Morisson-Woodbury formula.- C. HTM elements of the linear downconversion mixer.- D. Oscillator dynamics: analysis of the deviation from the attracting manifold.- E. Analysis of a harmonic oscillator.- Bibliography.
'Foreword. Contributing Authors. Contents. Symbols and Abbreviations. 1 Introduction. 1.1 Structured analysis, a key to successful design. 1.1.1 Electronics, a competitive market. 1.1.2 Analog design: A potential bottleneck. 1.1.3 Structured analog design. 1.1.4 Structured analysis. 1.2 This work. 1.2.1 Main contributions. 1.2.2 Math, it's a language. 1.3 Outline of this book. 2 Modeling and analysis of telecom frontends: basic concepts. 2.1 Models, modeling and analysis. 2.1.1 Models: what you want or what you have. 2.1.2 Good models. 2.1.3 The importance of good models in top-down design. 2.1.4 Modeling languages. 2.1.5 Modeling and analysis: model creation, transformation and interpretation. 2.2 Good models for telecommunication frontends: Architectures and their behavioral properties. 2.2.1 Frontend architectures and their building blocks. 2.2.2 Properties of frontend building block behavior. 2.3 Conclusions. 3 A framework for frequency-domain analysis of linear periodically timevarying Systems. 3.1 The story behind the math. 3.1.1 What's of interest: A designer's point of view. 3.1.2 Using harmonic transfer matrices to characterize LPTV behavior. 3.1.3 LPTV behavior and circuit small-signal analysis. 3.2 Prior art. 3.2.1 Floquet theory. 3.2.2 Lifting. 3.2.3 Frequency-domain approaches. 3.2.4 Contributions of this work. 3.3 Laplace-domain modeling of LPTV systems using Harmonic Transfer Matrices. 3.3.1 LPTV systems: implications of linearity and periodicity. 3.3.2 Linear periodically modulated signal models. 3.3.3 Harmonic transfer matrices: capturing transfer of signal content between carrier waves. 3.3.4 Structural properties of HTMs. 3.3.5 On the Yen -dimensional nature of HTMs. 3.3.6 Matrix-based descriptions for arbitrary LTV behavior. 3.4 LPTV system manipulation using HTMs. 3.4.1 HTMs of elementary systems. 3.4.2 HTMs of LPTV systems connected in parallel or in series. 3.4.3 Feedback systems and HTM inversions. 3.4.4 Relating HTMs to state-space representations. 3.5 LPTV system analysis using HTMs. 3.5.1 Multi-tone analysis. 3.5.2 Stability analysis. 3.5.3 Noise analysis. 3.6 Conclusions and directions for further research. 4 Applications of LPTV system analysis using harmonic transfer matrices. 4.1 HTMs in a nutshell. 4.2 Phase-Locked Loop analysis. 4.2.1 PLL architectures and PLL building blocks. 4.2.2 Prior art. 4.2.3 Signal phases and phase-modulated signal models. 4.2.4 HTM-based PLL building block models. 4.2.5 PLL closed-loop input-output HTM. 4.2.6 Example 1: PLL with sampling PFD. 4.2.7 Example 2: PLL with mixing PFD. 4.2.8 Conclusions. 4.3 Automated symbolic LPTV system analysis. 4.3.1 Prior art. 4.3.2 Symbolic LPTV system analysis: outlining the flow. 4.3.3 Input model construction. 4.3.4 Data structures. 4.3.5 Computational flow of the SymbolicHTM algorithm. 4.3.6 SymbolicHTM: advantages and limitations. 4.3.7 Application 1: linear downconversion mixer. 4.3.8 Application 2: Receiver stage with feedback across the mixing element. 4.4 Conclusions and directions for further research. 5 Modeling oscillator dynamic behavior. 5.1 The story behind the math. 5.1.1 Earth: a big oscillator. 5.1.2 Unperturbed system behavior: neglecting small forces. 5.1.3 Perturbed system behavior: changes in the earth's orbit. 5.1.4 Averaging: focusing on what's important. 5.1.5 How does electronic oscillator dynamics fit in?. 5.1.6 Modeling oscillator behavior. 5.2 Prior art. 5.2.1 General theory. 5.2.2 Phase noise analysis. 5.2.3 Numerical simulation. 5.2.4 Contributions of this work. 5.3 Oscillator circuit equations. 5.3.1 Normalizing the oscillator circuit equations. 5.3.2 Partitioning the normalized circuit equations. 5.4 Characterizing the oscillator's unperturbed core. 5.5 Oscillator perturbation analysis. 5.5.1 Components of an oscillator's perturbed behavior. 5.5.2 Motion xs _ t_ p_ t_ _over the manifold M . 5.5.3 In summa
Foreword.- Contributing Authors.- Contents.- Symbols and Abbreviations.- 1. Introduction.- 2. Modeling and analysis of telecom frontends: basic concepts.- 3. A framework for frequency-domain analysis of linear periodically timevarying Systems.- 4. Applications of LPTV system analysis using harmonic transfer matrices.- 5. Modeling oscillator dynamic behavior.- 6. Conclusions.- A. HTM norms and the comparison of HTMs.- B. The Sherman-Morisson-Woodbury formula.- C. HTM elements of the linear downconversion mixer.- D. Oscillator dynamics: analysis of the deviation from the attracting manifold.- E. Analysis of a harmonic oscillator.- Bibliography.
'Foreword. Contributing Authors. Contents. Symbols and Abbreviations. 1 Introduction. 1.1 Structured analysis, a key to successful design. 1.1.1 Electronics, a competitive market. 1.1.2 Analog design: A potential bottleneck. 1.1.3 Structured analog design. 1.1.4 Structured analysis. 1.2 This work. 1.2.1 Main contributions. 1.2.2 Math, it's a language. 1.3 Outline of this book. 2 Modeling and analysis of telecom frontends: basic concepts. 2.1 Models, modeling and analysis. 2.1.1 Models: what you want or what you have. 2.1.2 Good models. 2.1.3 The importance of good models in top-down design. 2.1.4 Modeling languages. 2.1.5 Modeling and analysis: model creation, transformation and interpretation. 2.2 Good models for telecommunication frontends: Architectures and their behavioral properties. 2.2.1 Frontend architectures and their building blocks. 2.2.2 Properties of frontend building block behavior. 2.3 Conclusions. 3 A framework for frequency-domain analysis of linear periodically timevarying Systems. 3.1 The story behind the math. 3.1.1 What's of interest: A designer's point of view. 3.1.2 Using harmonic transfer matrices to characterize LPTV behavior. 3.1.3 LPTV behavior and circuit small-signal analysis. 3.2 Prior art. 3.2.1 Floquet theory. 3.2.2 Lifting. 3.2.3 Frequency-domain approaches. 3.2.4 Contributions of this work. 3.3 Laplace-domain modeling of LPTV systems using Harmonic Transfer Matrices. 3.3.1 LPTV systems: implications of linearity and periodicity. 3.3.2 Linear periodically modulated signal models. 3.3.3 Harmonic transfer matrices: capturing transfer of signal content between carrier waves. 3.3.4 Structural properties of HTMs. 3.3.5 On the Yen -dimensional nature of HTMs. 3.3.6 Matrix-based descriptions for arbitrary LTV behavior. 3.4 LPTV system manipulation using HTMs. 3.4.1 HTMs of elementary systems. 3.4.2 HTMs of LPTV systems connected in parallel or in series. 3.4.3 Feedback systems and HTM inversions. 3.4.4 Relating HTMs to state-space representations. 3.5 LPTV system analysis using HTMs. 3.5.1 Multi-tone analysis. 3.5.2 Stability analysis. 3.5.3 Noise analysis. 3.6 Conclusions and directions for further research. 4 Applications of LPTV system analysis using harmonic transfer matrices. 4.1 HTMs in a nutshell. 4.2 Phase-Locked Loop analysis. 4.2.1 PLL architectures and PLL building blocks. 4.2.2 Prior art. 4.2.3 Signal phases and phase-modulated signal models. 4.2.4 HTM-based PLL building block models. 4.2.5 PLL closed-loop input-output HTM. 4.2.6 Example 1: PLL with sampling PFD. 4.2.7 Example 2: PLL with mixing PFD. 4.2.8 Conclusions. 4.3 Automated symbolic LPTV system analysis. 4.3.1 Prior art. 4.3.2 Symbolic LPTV system analysis: outlining the flow. 4.3.3 Input model construction. 4.3.4 Data structures. 4.3.5 Computational flow of the SymbolicHTM algorithm. 4.3.6 SymbolicHTM: advantages and limitations. 4.3.7 Application 1: linear downconversion mixer. 4.3.8 Application 2: Receiver stage with feedback across the mixing element. 4.4 Conclusions and directions for further research. 5 Modeling oscillator dynamic behavior. 5.1 The story behind the math. 5.1.1 Earth: a big oscillator. 5.1.2 Unperturbed system behavior: neglecting small forces. 5.1.3 Perturbed system behavior: changes in the earth's orbit. 5.1.4 Averaging: focusing on what's important. 5.1.5 How does electronic oscillator dynamics fit in?. 5.1.6 Modeling oscillator behavior. 5.2 Prior art. 5.2.1 General theory. 5.2.2 Phase noise analysis. 5.2.3 Numerical simulation. 5.2.4 Contributions of this work. 5.3 Oscillator circuit equations. 5.3.1 Normalizing the oscillator circuit equations. 5.3.2 Partitioning the normalized circuit equations. 5.4 Characterizing the oscillator's unperturbed core. 5.5 Oscillator perturbation analysis. 5.5.1 Components of an oscillator's perturbed behavior. 5.5.2 Motion xs _ t_ p_ t_ _over the manifold M . 5.5.3 In summa
"This book has a good tutorial dimension. In particular, the idea of describing in plain words the essence of the approaches before diving into the mathematical details, makes reading this book a pleasant experience without sacrificing precision and rigor."
Professor Alberto Sangiovanni-Vincentelli
Professor Alberto Sangiovanni-Vincentelli