Intro; Preface; About This Book; Contents; About the Authors; List of Figures; List of Tables; 1 Parabolic Splines based One-Dimensional Polynomial; 1.1 The Functional Relationships Based on Parabolic Splines; 1.2 The Theoretical Issues of Splines; 1.3 Evaluation of Parabolic B-Splines of Multiple Levels; 1.4 Summary; References; 2 B-Spline Approximation for Polynomial Splines; 2.1 Specialised Computing Structure for Running B-Spline Approximation; 2.2 Summary; References; 3 One-Dimensional Polynomial Splines for Cubic Splines; 3.1 Parallel Computing Structure Based on Cubic Basic Splines
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3.2 SummaryReferences; 4 Multidimensional Polynomial Splines; 4.1 Multidimensional Polynomial Splines in Modelling of Functional Relationships; 4.2 Methods of Computation of Modelling Coefficients Using Multidimensional Splines; 4.3 The Main Characteristics of Implementation of Tabular-Algorithmic Computation Structures of Piecewise-Polynomial Processing of Signals; 4.3.1 Performance Assessment; 4.3.2 Memory Capacity Assessment; 4.4 Summary; References; 5 Evaluation Methods of Spline; 5.1 Hardware Used for Evaluation of Spline-Recovery Methods; 5.2 Purpose and Characteristics of Signals
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5.3 Structure of DSP with Harvard's Architecture5.4 Blackfin Family Processors; 5.5 Summary; References; 6 Requirements of MATLAB/Simulink for Signals; 6.1 Development Tools for Modelling Special Processor Structures Based on MATLAB and Simulink; 6.2 Summary; References; 7 Geophysical Application for Splines; 7.1 Software for Processing of Geophysical Signals; 7.2 Generation of Electromagnetic and Acoustic Emissions; 7.3 Splines' Implementation of Geophysical Studies Data; 7.4 Summary; References; 8 Spline Evaluation for Railways; 8.1 Analysis of Spline Implementation in Railway Rails
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8.2 Stability Evaluation of Railways8.3 Discussion; References
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Title
Signal processing applications using multidimensional polynomial splines.