Description
Signals and Systems for Bioengineers Edition 2 by John Semmlow EBOOK PDF Instant Download
Table of Contents
Cover image
Table of Contentss
Front-matter
Copyright
Acknowledgements
Preface to the Second Edition
Chapter 1. The Big Picture
1.1. Biological Systems
1.2. Biosignals
1.3. Noise
1.4. Signal Properties—Basic Measurements
1.5. Summary
Chapter 2. Basic Concepts in Signal Processing
2.1. Basic Signals—The Sinusoidal Waveform
2.2. More Basic Signals—Periodic, Aperiodic, and Transient
2.3. Two-Dimensional Signals—Images
2.4. Signal Comparisons and Transformations
2.5. Summary
Chapter 3. Fourier Transform
3.1. Time- and Frequency-Domain Signal Representations
3.2. Fourier Series Analysis
3.3. Frequency Representation
3.4. Complex Representation
3.5. The Continuous Fourier Transform
3.6. Discrete Data: The Discrete Fourier Series and Discrete Fourier Transform
3.7. MATLAB Implementation of the Discrete Fourier Transform (DFT)
3.8. Summary
Chapter 4. The Fourier Transform and Power Spectrum
4.1. Data Acquisition and Storage
4.2. Power Spectrum
4.3. Spectral Averaging
4.4. Stationarity and Time-Frequency Analysis
4.5. Signal Bandwidth
4.6. Summary
Chapter 5. Linear Systems in the Frequency Domain
5.1. Linear Signal Analysis—An Overview
5.2. The Response of System Elements to Sinusoidal Inputs—Phasor Analysis
5.3. The Transfer Function
5.4. Transfer Function Spectral Plots—The Bode Plot
5.5. Bode Plots Combining Multiple Elements
5.6. The Transfer Function and the Fourier Transform
5.7. Summary
Chapter 6. Linear Systems Analysis in the Complex Frequency Domain
6.1. The Laplace Transform
6.2. Laplace Analysis—The Laplace Transfer Function
6.3. Nonzero Initial Conditions—Initial and Final Value Theorems
6.4. The Laplace Domain and the Frequency Domain
6.5. Summary
Chapter 7. Linear Systems Analysis in the Time Domain
7.1. Linear Systems
7.2. The Convolution Integral
7.3. The Relationship between Convolution and Frequency Domain Analysis
7.4. Convolution in the Frequency Domain
7.5. System Simulation and Simulink
7.6. Biological Examples
7.7. Summary
Chapter 8. Linear System Analysis
8.1. Linear Filters—Introduction
8.2. Finite Impulse Response (FIR) Filters
8.3. Two-Dimensional Filtering—Images
8.4. FIR Filter Design Using MATLAB—The Signal Processing Toolbox
8.5. Infinite Impulse Response Filters
8.6. The Digital Transfer Function and the z-Transform
8.7. Summary
Chapter 9. Circuit Elements and Circuit Variables
9.1. Circuits and Analog Systems
9.2. System Variables
9.3. Electrical Elements
9.4. Phasor Analysis
9.5. Laplace Domain—Electrical Elements
9.6. Summary—Electrical Elements
9.7. Mechanical Elements
9.8. Summary
Chapter 10. Analysis of Analog Circuits and Models
10.1. Conservation Laws—Kirchhoff’s Voltage Law
10.2. Conservation Laws—Kirchhoff’s Current Law: Nodal Analysis
10.3. Conservation Laws—Newton’s Law: Mechanical Systems
10.4. Resonance
10.5. Summary
Chapter 11. Circuit Reduction
11.1. System Simplifications—Passive Network Reduction
11.2. Network Reduction—Passive Networks
11.3. Ideal and Real Sources
11.4. Thévenin and Norton Theorems—Network Reduction with Sources
11.5. Measurement Loading
11.6. Mechanical Systems
11.7. Multiple Sources—Revisited
11.8. Summary
Chapter 12. Basic Analog Electronics
12.1. The Amplifier
12.2. The Operational Amplifier
12.3. The Noninverting Amplifier
12.4. The Inverting Amplifier
12.5. Practical Op Amps
12.6. Power Supply
12.7. Op Amp Circuits or 101 Things to Do with an Op Amp
12.8. Summary
Appendix A. Derivations
Appendix B. Laplace Transforms and Properties of the Fourier Transform
Appendix C. Trigonometric and Other Formulae
Appendix D. Conversion Factors: Units
Appendix E. Complex Arithmetic
Appendix F. LF356 Specifications
Appendix G. Determinants and Cramer’s Rule
Bibliography
Index
