Biomedical Signals and Systems
Joseph V. Tranquillo
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Biomedical Signals and Systems
Joseph V. Tranquillo
Über dieses Buch
Biomedical Signals and Systems is meant to accompany a one-semester undergraduate signals and systems course. It may also serve as a quick-start for graduate students or faculty interested in how signals and systems techniques can be applied to living systems. The biological nature of the examples allows for systems thinking to be applied to electrical, mechanical, fluid, chemical, thermal and even optical systems. Each chapter focuses on a topic from classic signals and systems theory: System block diagrams, mathematical models, transforms, stability, feedback, system response, control, time and frequency analysis and filters. Embedded within each chapter are examples from the biological world, ranging from medical devices to cell and molecular biology. While the focus of the book is on the theory of analog signals and systems, many chapters also introduce the corresponding topics in the digital realm. Although some derivations appear, the focus is on the concepts and how to apply them. Throughout the text, systems vocabulary is introduced which will allow the reader to read more advanced literature and communicate with scientist and engineers. Homework and Matlab simulation exercises are presented at the end of each chapter and challenge readers to not only perform calculations and simulations but also to recognize the real-world signals and systems around them. Table of Contents: Preface / Acknowledgments / Introduction / System Types / System Models / Laplace Transform / Block Diagrams / Stability / Feedback / System Response / Control / Time Domain Analysis / Frequency Domain Analysis / Filters / Author's Biography
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Inhaltsverzeichnis
- Cover
- Copyright Page
- Title Page
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- 2 System Types
- 3 System Models
- 4 Laplace Transform
- 5 Block Diagrams
- 6 Stability
- 7 Feedback
- 8 System Response
- 9 Control
- 10 Time Domain Analysis
- 11 Frequency Domain Analysis
- 12 Filters
- A Complex Numbers
- B Partial Fraction Expansion
- C Laplace Transform Table
- D Fourier Transform Table
- Author’s Biography