1. Data Acquisition Systems
Generic Architecture
Characterization and Performance Evaluation
Examples

2 . Transducers
Definitions, characteristics and terminology
Main types of sensors
Calibration and compensation

3 . Signal Conditioning and Multiplexing
Measurement Bridges
Amplification
Operational Amplifiers
Instrumentation amplifiers and galvanic insulation
Input protection
Signal Sampling

4 . Noise
Intrinsic noise (fundamental ): thermal and quantum 1 / f
Modes of extrinsic noise coupling
Noise measurements
Methods for noise elimination
Grounding loops

5 . Analog-to- Digital Conversion
Periodic sampling of signals
Nyquist sampling theorem
Quantisation errors
Differential non-linearity errors
Signal to Noise Ratio
Auto-correlation and cross-correlation
Main types of ADCs

6. Analysis and filtering
Properties of analog and digital signals
Analysis of the frequency spectrum
Linear systems
Convolution
Spectral analysis

- Apresentações e apontamentos (v2.1) disponibilizados aos alunos

Alguns livros de referência

- Data Acquisition Fundamentals, National Instruments, 2002.
- Edward E. Lee, Pravin Varaiya, Structure and Interpretation of Signals and Systems, Addison
Wesley, 2003.
- John G. Webster, ed., Medical Instrumentation: Application and Design, 3/e, John Wiley & Sons, 1997.
- John Bently, Principles of Measurement, Prentice Hall, 2004.
- Gilbert Held, Understanding Data Communication, 7/e, Addison Wesley, 2002.
- Eva Pärt-Enander, Anders Sjöberg, Matlab 5 Handbook, Addison Wesley Longman, 1999