fisica.uc.pt • Departamento de Física • Universidade de Coimbra
DEPT. DE FÍSICA
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Interfaces and Data Acquisition Systems
= Interfaces e Sistemas de Aquisição de Dados, EB EF+AIE+EB 2019 . 2020 - 1º semestre
Specification sheet Specific details
*) N.B. if there are students who do not speak Portuguese the language is English.
Learning goals
- To understand the global architecture of data acquisition systems
- To identify and characterize the different tasks and functions of a data acquisition system - To identify the physical and technical limitations of data acquisition systems and the associated instrumentation - Ability to use and specify data acquisition systems - Knowledge of basic and intermediate concepts of sensor elements and data communication networks - Use data analysis tools for data processing (Matlab) in the scope of data acquisition systems. Syllabus
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 Prerequisites
Electronics; Signals and Systems
Generic skills to reach
. Competence in analysis and synthesis;. Competence in oral and written communication; . Competence for working in group; . Competence in understanding the language of other specialists; . Competence in autonomous learning; . Knowledge of a foreign language; . Computer Skills for the scope of the study; . Using the internet as a communication medium and information source; . Critical thinking; . Research skills; (by decreasing order of importance) Teaching hours per semester
Assessment
Bibliography of reference
- 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 Teaching method
- Presentation of the syllabus with support of laboratorial classes, problem solving and programming examples and challenges.
- Students are encouraged to work alone and in groups Resources used
Laboratório de instrumentação: Aquisição de um sinal biomédico. Sala de computadores equipados com Matlab: Análise e processamento de sinais |
