Search Results - (((((((kant OR makant) OR mantis) OR when) OR cantor) OR anne) OR shape) OR hints) algorithms.

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  1. 581

    Fundamentals of Fluid Power Control. by Watton, John

    Published 2009
    Table of Contents: “…Control-Volume Flow Continuity -- PRV Flow -- Force Balance at the Spindle -- 5.13.3 Frequency Response from a Linearized Transfer Function Analysis -- 5.14 Servovalve Dynamics -- First-Stage, Armature, and Flapper-Nozzle -- Flapper-Nozzle and Resistance Bridge Flow Characteristic -- Force Balance at the Spool -- 5.15 An Open-Loop Servovalve-Motor Drive with Line Dynamics Modeled by Lumped Approximations -- Servovalve, Dynamics Included, Underlapped Spool -- Lines, Laminar Mean Flow, Two Lump Approximations per Line, Negligible Motor Internal Volume -- Motor Flow and Torque Equations -- 5.16 Transmission Line Dynamics -- 5.16.1 Introduction -- Servovalve-Cylinder with Short Lines and Significant Actuator Volumes -- Servovalve-Motor with Long Lines and Negligible Actuator Volumes -- 5.16.2 Lossless Line Model for Z and Y -- 5.16.3 Average and Distributed Line Friction Models for Z and Y -- 5.16.4 Frequency-Domain Analysis -- 5.16.5 Servovalve-Reflected Linearized Coefficients -- 5.16.6 Modeling Systems with Nonlossless Transmission Lines, the Modal Analysis Method -- 5.16.7 Modal Analysis Applied to a Servovalve-Motor Open-Loop Drive -- 5.17 The State-Space Method for Linear Systems Modeling -- 5.17.1 Modeling Principles -- 5.17.2 Some Further Aspects of the Time-Domain Solution -- 5.17.3 The Transfer Function Concept in State Space -- 5.18 Data-Based Dynamic Modeling -- 5.18.1 Introduction -- 5.18.2 Time-Series Modeling -- 5.18.3 The Group Method of Data Handling (GMDH) Algorithm -- 5.18.4 Artificial Neural Networks -- 5.18.5 A Comparison of Time-Series, GMDH, and ANN Modeling of a Second-Order Dynamic System -- 5.18.6 Time-Series Modeling of a Position Control System -- 5.18.7 Time-Series Modeling for Fault Diagnosis -- 5.18.8 Time-Series Modeling of a Proportional PRV -- 5.18.9 GMDH Modeling of a Nitrogen-Filled Accumulator.…”
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  2. 582

    Credit securitizations and derivatives : challenges for the global markets

    Published 2013
    Table of Contents: “…Market Credit Risk Pricing -- Regulation -- Developments in Structured Finance Markets -- Impairments of Asset-Backed Securities and Outstanding Ratings -- Issuance of Asset-backed Securities and Outstanding Volume -- Global CDO Issuance and Outstanding Volume -- PART II CREDIT PORTFOLIO RISK MEASUREMENT -- Mortgage Credit Risk -- Five C's of Credit and Mortgage Credit Risk -- Determinants of Mortgage Default, Loss Given Default and Exposure at Default -- Determinants of Mortgage Default -- Determinants of Mortgage LGD -- Determinants of Mortgage EAD -- Modeling Methods for Default, LGD and EAD -- Model Risk Management -- Credit Portfolio Correlations and Uncertainty -- Introduction -- Gaussian and Semi-Gaussian Single Risk Factor Model -- Individual and Simultaneous Confidence Bounds and Intervals -- Confidence Intervals for Asset Correlations -- Confidence Intervals for Default and Survival Time Correlations -- Confidence Intervals for Default Correlations -- Confidence Intervals for Survival Time Correlations -- Credit Portfolio Correlations with Dynamic Leverage Ratios -- The Hui et al. (2007) Model -- The Method of Images for Constant Coefficients -- The Method of Images for Time-Varying Coefficients -- Modelling Default Correlations in a Two-Firm Model -- Default Correlations -- A Two-Firm Model with Dynamic Leverage Ratios -- Method of Images for Constant Coefficients -- Method of Images for Time-Varying Coefficients -- Alternative Methodologies for General Values -- Numerical Results -- Accuracy -- The Impact of Correlation between Two Firms -- The Impact of Different Credit Quality Paired Firms -- The Impact of Volatilities -- The Impact of Drift Levels -- The Impact of Initial Value of Leverage Ratio Levels -- Impact of Correlation between Firms and Interest Rates -- The Price of Credit-Linked Notes -- A Hierarchical Model of Tail-Dependent Asset Returns -- The Variance Compound Gamma Model -- Multivariate Process for Logarithmic Asset Returns -- Dependence Structure -- Sampling -- Copula Properties -- An Application Example -- Portfolio Setup -- Test Portfolios -- Parameter Setup -- Simulation Results -- Importance Sampling Algorithm -- Conclusions -- Appendix A: The VCG Probability Distribution Function Appendix B: HAC Representation for the VCG Framework -- Monte Carlo Methods for Portfolio Credit Risk -- Modeling Credit Portfolio Losses -- Risk Measures -- Modeling Dependency -- Estimating Risk Measures via Monte Carlo -- Crude Monte Carlo Estimators -- Importance Sampling -- Specific Models -- The Bernoulli Mixture Model -- Factor Models -- Copula Models -- Intensity Models -- An Example Point Process Model -- Appendix A: A Primer on Rare-event Simulation -- Efficiency -- Importance Sampling -- The Choice of g -- Adaptive Importance Sampling -- Importance Sampling for Stochastic Processes -- Credit Portfolio Risk and Diversification -- Introduction -- Model Setup -- Independent Asset Values -- Correlated Asset Values -- Large Portfolio Limit -- Correlated Diffusion -- Correlated GARCH Process -- Applications of the Structural Recovery Rate -- Conclusions -- PART III CREDIT PORTFOLIO RISK SECURITIZATION AND TRANCHING -- Differences in Tranching Methods: Some Results and Implications -- Defining a Tranche -- The Mathematics of Tranching -- PD-based Tranching -- EL-based Tranching -- The EL of a Tranche Necessarily Increases When Either the Attachment Point or the Detachment Point is Decreased -- Upper Bound on Tranche Expected LGD (LGDt) Assumption Given EL-based Tranches -- Skipping of Some Tranches in the EL-based Approach -- Global Structured Finance Rating -- Asset-Backed Securities -- The ABS Structure for the Experiment -- Cash Flow Modeling -- Modeling and Simulating Defaults -- Expected Loss Rating -- Global Sensitivity Analysis -- Elementary Effects -- Variance-based Method -- Global Sensitivity Analysis Results -- Uncertainty Analysis -- Sensitivity Analysis -- Global Rating -- PART IV CREDIT DERIVATIVES -- Analytic Dynamic Factor Copula Model -- Pricing Equations -- One-factor Copula Model -- Multi-period Factor Copula Models -- Calibration -- Dynamic Modeling of Credit Derivatives -- General Model Choice -- Modeling Option Prices -- Modeling Credit Risk -- Portfolio Credit Derivatives -- Modeling Asset Dynamics -- The Market Model -- The Asset-value Model -- Empirical Analysis -- Elementary Data -- Implied Dividends -- Market Dynamics -- Asset Value Model -- Tranche Pricing -- Out-of-time Application -- Pricing and Calibration in Market Models -- Basic notions -- The model -- Modeling Assumptions -- Absence of Arbitrage -- An affine specification -- Pricing -- Calibration -- Calibration Procedure -- Calibration Results -- Appendix A: Computations -- Counterparty Credit Risk and Clearing of Derivatives -- From the Perspective of an Industrial Corporate with a Focus on Commodity Markets -- Credit exposures in commodity business -- Settlement Exposure -- Performance Exposure -- Example of Fixed Price Deal with Performance Exposure -- Example of a Floating Price Deal with Performance Exposure -- General Remarks on Credit Exposure Concepts -- Ex Ante exposure-reducing techniques -- Payment Terms -- Material Adverse Change Clauses -- Master Agreements -- Netting -- Margining -- Close Out Exposure and Threshold -- Ex Ante risk-reducing techniques -- Credit Enhancements in General -- Parent Company Guarantees -- Letters of Credit -- Credit Insurance -- Clearing via a Central Counterparty -- Ex Post risk-reducing techniques -- Factoring -- Novation -- Risk-reducing Trades -- Hedging with CDS -- Hedging with Contingent-CDS -- Hedging with Puts on Equity -- Ex Post work out considerations -- Practical credit risk management and pricing Peculiarities of commodity markets -- Peculiarities of commodity related credit portfolios -- Credit Risk Capital for a commodity related portfolio measured with an extension of CreditMetrics -- CreditRisk+ study: applied to a commodity related credit portfolio -- CDS Industrial Sector Indices, Credit and Liquidity Risk -- The Data -- Methodology and Results -- Preliminary Analysis -- Common Factor Analysis -- Stability of Relations -- Risk Transfer and Pricing of Illiquid Assets with Loan CDS -- Shipping Market -- Loan Credit Default Swaps -- LCDS Pricing -- Modeling LCDS Under the Intensity-based Model -- Valuation Framework for LCDS -- The Structural Approach -- Credit Risk in Shipping Loans -- Valuation of LCDS on Shipping Loans -- Simulation Model -- Numerical Results -- Appendix A: Monte Carlo Parameterization PART V REGULATION -- Regulatory Capital Requirements for Securitizations -- Regulatory Approaches for Securitizations -- Ratings Based Approach (RBA) -- Supervisory Formula Approach (SFA) -- Standardized Approach (SA) -- Post-crisis Revisions to the Basel Framework -- Regulating OTC Derivatives -- The Wall Street Transparency and Accountability Part of the Dodd-Frank Act of 2010 -- Which Derivatives Will Be Affected? …”
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  3. 583
  4. 584

    Sigma-Delta Converters. by De la Rosa, José M.

    Published 2018
    Table of Contents: “…4.5.2 Effect of Finite Slew Rate on CT-Ms 133 -- 4.6 Sources of Distortion in CT-Ms 134 -- 4.6.1 Nonlinearities in the Front-end Integrator 134 -- 4.6.2 Intersymbol Interference in the Feedback DAC 136 -- 4.7 Circuit Noise in CT-Ms 137 -- 4.7.1 Noise Analysis Considering NRZ Feedback DACs 137 -- 4.7.2 Noise Analysis Considering SC Feedback DACs 139 -- 4.8 Clock Jitter in CT-Ms 140 -- 4.8.1 Jitter in Return-to-zero DACs 141 -- 4.8.2 Jitter in Non-return-to-zero DACs 142 -- 4.8.3 Jitter in Switched-capacitor DACs 144 -- 4.8.4 Lingering Effect of Clock Jitter Error 145 -- 4.8.5 Reducing the Effect of Clock Jitter with FIR and Sine-shaped DACs 147 -- 4.9 Excess Loop Delay in CT-Ms 149 -- 4.9.1 Intuitive Analysis of ELD 149 -- 4.9.2 Analysis of ELD based on Impulse-invariant DT-CT Transformation 151 -- 4.9.3 Alternative ELD Compensation Techniques 154 -- 4.10 Quantizer Metastability in CT-Ms 155 -- 4.11 Summary 159 -- References 160 -- 5 Behavioral Modeling and High-level Simulation 165 -- 5.1 Systematic Design Methodology of Modulators 165 -- 5.1.1 System Partitioning and Abstraction Levels 167 -- 5.1.2 Sizing Process 167 -- 5.2 Simulation Approaches for the High-level Evaluation of Ms 169 -- 5.2.1 Alternatives to Transistor-level Simulation 169 -- 5.2.2 Event-driven Behavioral Simulation Technique 171 -- 5.2.3 Programming Languages and Behavioral Modeling Platforms 172 -- 5.3 Implementing M Behavioral Models 173 -- 5.3.1 From Circuit Analysis to Computational Algorithms 173 -- 5.3.2 Time-domain versus Frequency-domain Behavioral Models 175 -- 5.3.3 Implementing Time-domain Behavioral Models in MATLAB 178 -- 5.3.4 Building Time-domain Behavioral Models as SIMULINK C-MEX S-functions 182 -- 5.4 Efficient Behavioral Modeling of M Building Blocks using C-MEX S-functions 188 -- 5.4.1 Modeling of SC Integrators using S-functions 188 -- 5.4.1.1 Capacitor Mismatch and Nonlinearity 190.…”
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  5. 585
  6. 586

    Statistics for business by Mariappan, Perumal

    Published 2019
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  7. 587

    Polymer extrusion

    Published 2014
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  8. 588
  9. 589
  10. 590

    Visual Inspection Technology in the Hard Disc Drive Industry. by Muneesawang, Paisarn

    Published 2015
    Table of Contents: “…Introduction / Suchart Yammen / Paisarn Muneesawang -- 1.2. Algorithm for corrosion detection / Suchart Yammen / Paisarn Muneesawang -- 1.2.1. …”
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  11. 591
  12. 592

    Public safety networks from LTE to 5G by Yarali, Abdulrahman

    Published 2020
    Table of Contents: “…9.2.5 Flexibility 164 -- 9.3 Starting Public Safety Implementation Versus Waiting for 5G 165 -- 9.4 5GVersus 4G Public Safety Services 166 -- 9.4.1 Video Surveillance 167 -- 9.4.2 Computer-Driven Augmented Reality (AR) Helmet 167 -- 9.5 How 5GWill Shape Emergency Services 167 -- 9.6 4G LTE Defined Public Safety Content in 5G 168 -- 9.7 The Linkage Between 4G-5G Evolution and the Spectrum for Public Safety 168 -- 9.8 Conclusion 168 -- References 168 -- 10 Fifth Generation (5G) Cellular Technology 171 -- 10.1 Introduction 171 -- 10.2 Background Information on Cellular Network Generations 172 -- 10.2.1 Evolution of Mobile Technologies 172 -- 10.2.1.1 First Generation (1G) 172 -- 10.2.1.2 Second Generation (2G) Mobile Network 172 -- 10.2.1.3 Third Generation (3G) Mobile Network 172 -- 10.2.1.4 Fourth Generation (4G) Mobile Network 173 -- 10.2.1.5 Fifth Generation (5G) 173 -- 10.3 Fifth Generation (5G) and the Network of Tomorrow 174 -- 10.3.1 5G Network Architecture 176 -- 10.3.2 Wireless Communication Technologies for 5G 177 -- 10.3.2.1 Massive MIMO 177 -- 10.3.2.2 Spatial Modulation 179 -- 10.3.2.3 Machine to Machine Communication (M2M) 179 -- 10.3.2.4 Visible Light Communication (VLC) 180 -- 10.3.2.5 Green Communications 180 -- 10.3.3 5G System Environment 180 -- 10.3.4 Devices Used in 5G Technology 181 -- 10.3.5 Market Standardization and Adoption of 5G Technology 181 -- 10.3.6 Security Standardization of Cloud Applications 183 -- 10.3.7 The Global ICT Standardization Forum for India (GISFI) 184 -- 10.3.8 Energy Efficiency Enhancements 184 -- 10.3.9 Virtualization in the 5G Cellular Network 185 -- 10.3.10 Key Issues in the Development Process 185 -- 10.3.10.1 Challenges of Heterogeneous Networks 186 -- 10.3.10.2 Challenges Caused by Massive MIMO Technology 186 -- 10.3.10.3 Big Data Problem 186 -- 10.3.10.4 Shared Spectrum 186 -- 10.4 Conclusion 187 -- References 187 -- 11 Issues and Challenges of 4G and 5G for PS 189 -- 11.1 Introduction 189 -- 11.2 4G and 5GWireless Connections 190.…”
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  13. 593

    Spread spectrum systems for GNSS and wireless communications by Holmes, Jack K. (Jack Kenneth), 1936-

    Published 2007
    Table of Contents: “…4.3.1 Convolutional Code Encoder Characterization -- 4.3.2 The Transfer Function of a Convolutional Code and the Free Distance -- 4.3.3 Decoding of Convolutional Codes -- 4.3.4 The Viterbi Algorithm -- 4.3.5 Error Probabilities for Viterbi Decoding of Convolutional Codes -- 4.3.6 Sequential Decoding of Convolutional Codes -- 4.3.7 Threshold Decoding of Convolutional Codes -- 4.3.8 Nonbinary Convolutional Codes -- 4.4 ITERATIVELY DECODED CODES -- 4.4.1 Turbo Codes -- 4.4.2 A Serial Concatenated Convolutional Code -- 4.4.3 Serial Concatenated Block Codes -- 4.4.4 Parallel Concatenated Block Codes -- 4.4.5 Low-Density Parity Check Codes -- 4.5 SELECTED RESULTS FOR SOME ERROR CORRECTION CODES -- 4.5.1 Bose, Chaudhuri, and Hocquenghem Codes -- 4.5.2 Reed-Solomon Codes -- 4.5.3 Convolutional Codes with Maximum Free Distance -- 4.5.4 Hard- and Soft-Decision FFH/MFSK with Repeat Coding BER Performance -- 4.6 SHANNON'S CAPACITY THEOREM, THE CHANNEL CODING THEOREM, AND BANDWIDTH EFFICIENCY -- 4.6.1 Shannon's Capacity Theorem -- 4.6.2 Channel Coding Theorem -- 4.6.3 Bandwidth Efficiency -- 4.7 APPLICATIONS OF ERROR CONTROL CODING -- 4.8 SUMMARY -- References -- Selected Bibliography -- Problems -- CHAPTER 5 Carrier Tracking Loops and Frequency Synthesizers -- 5.0 INTRODUCTION -- 5.1 TRACKING OF RESIDUAL CARRIER SIGNALS -- 5.2 PLL FOR TRACKING A RESIDUAL CARRIER COMPONENT -- 5.2.1 The Likelihood Function for Phase Estimation -- 5.2.2 The Maximum-Likelihood Estimation of Carrier Phase -- 5.2.3 Long Loops and Short Loops -- 5.2.4 The Stochastic Differential Equation of Operation -- 5.2.5 The Linear Model of the PLL with Noise -- 5.2.6 The Various Loop Filter Types -- 5.2.7 Transient Response of a Second-Order Loop -- 5.2.8 Steady State Tracking Error When the Phase Error Is Small -- 5.2.9 The Variance of the Linearized PLL Phase Error Due to Thermal Noise.…”
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  14. 594
  15. 595

    IBM TotalStorage : SAN product, design, and optimization guide

    Published 2005
    Table of Contents: “…-- 3.7.6 What happens when there is more than one shortest path? -- 3.7.7 Can FSPF cause any problems? …”
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  16. 596

    Optimal learning by Powell, Warren B., 1955-

    Published 2012
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  17. 597

    Queer Data Studies. by Keilty, Patrick

    Published 2024
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  18. 598
  19. 599
  20. 600

    Power system monitoring and control by Bevrani, Hassan

    Published 2014
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