Fractal Analysis
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Ashland :
Arcler Press,
2020.
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover
- Title Page
- Copyright
- DECLARATION
- ABOUT THE EDITOR
- TABLE OF CONTENTS
- List of Contributors
- List of Abbreviations
- Preface
- Chapter 1 Introduction
- References
- Chapter 2 Definition of Fractal Topography to Essential Understanding of Scale-Invariance
- Abstract
- Introduction
- Methods and Discussion
- Conclusion
- Acknowledgements
- References
- Chapter 3 Entropy and Fractal Antennas
- Abstract
- Introduction
- Concept of Entropy
- Remarks on Fractal Geometry
- Fractal Antennas
- Conclusions
- References
- Chapter 4 Edges of Saturn's Rings are Fractal
- Abstract
- Background
- Results And Discussion
- Conclusions
- Methods
- Acknowledgment
- References
- Chapter 5 The Fractal Patterns of Words in a Text: A Method for Automatic Keyword Extraction
- Abstract
- Introduction
- Background And Related Works
- Methods
- Results
- Conclusion
- Appendix. Description of Related Methods Of Word Ranking
- Acknowledgments
- Author Contributions
- References
- Chapter 6 Higuchi Dimension of Digital Images
- Abstract
- Introduction
- Methods
- Results
- Discussion
- Conclusion
- Relationship Between Fractal Dimension And Spectral Exponent
- Generating Fractional Brownian Motions And Characterizing Fractal Analysis Techniques
- Conclusions
- Acknowledgments
- References
- Chapter 9 A Tutorial Introduction to Adaptive Fractal Analysis
- Abstract
- Introduction
- Applications Of Afa
- General Discussion
- Acknowledgments
- References
- Chapter 10 Pitfalls in Fractal Time Series Analysis: fMRI BOLD as an Exemplary Case
- Abstract
- Introduction
- Concept Of Fractal Time Series Analyses
- Implementation Of Fractal Time Series Analyses
- Characterization Of Methods
- Pitfalls
- Demonstration
- Physiological Correlates Of Fractal Measures Of fMRI Bold Time Series
- Acknowledgments
- References
- Chapter 11 Characterization of Forested Landscapes from Remotely Sensed Data Using Fractals and Spatial Autocorrelation
- Abstract
- Introduction
- Fractal Analysis And Spatial Autocorrelation Methods
- Case Study
- Image Characterization And Modeling System (ICAMS)
- Procedure
- Results
- Conclusions
- Acknowledgments
- References