Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Introduction to Measurement Systems
- 2 Probability
- 3 Statistics of Random Processes
- 4 Spatiotemporal Models of the Measurement Process
- 5 Basis Decomposition I
- 6 Basis Decomposition I
- 7 Projection Radiography
- 8 Statistical Decision-Making
- 9 Statistical Pattern Recognition with Flow Cytometry Examples
- 10 ODE Models I: Biological Systems
- 11 ODE Models II: Sensors
- Appendix A Review of Linear Algebra
- Appendix B Properties of Dirac Deltas
- Appendix C Signal Modulation
- Appendix D Fourier Transform Theorems and Special Functions
- Appendix E Constrained Optimization
- Appendix F One-Sided Laplace Transforms
- Appendix G Independent, Orthogonal, Uncorrelated
- Bibliography
- Index
Appendix E - Constrained Optimization
Published online by Cambridge University Press: 28 May 2021
Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- 1 Introduction to Measurement Systems
- 2 Probability
- 3 Statistics of Random Processes
- 4 Spatiotemporal Models of the Measurement Process
- 5 Basis Decomposition I
- 6 Basis Decomposition I
- 7 Projection Radiography
- 8 Statistical Decision-Making
- 9 Statistical Pattern Recognition with Flow Cytometry Examples
- 10 ODE Models I: Biological Systems
- 11 ODE Models II: Sensors
- Appendix A Review of Linear Algebra
- Appendix B Properties of Dirac Deltas
- Appendix C Signal Modulation
- Appendix D Fourier Transform Theorems and Special Functions
- Appendix E Constrained Optimization
- Appendix F One-Sided Laplace Transforms
- Appendix G Independent, Orthogonal, Uncorrelated
- Bibliography
- Index
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- Biomedical Measurement Systems and Data Science , pp. 373 - 375Publisher: Cambridge University PressPrint publication year: 2021