455-0332/01 – Measurement Systems (MS)
Gurantor department | Department of Measurement and Control | Credits | 6 |
Subject guarantor | doc. Ing. Radovan Hájovský, Ph.D. | Subject version guarantor | doc. Ing. Radovan Hájovský, Ph.D. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 1 | Semester | summer |
| | Study language | Czech |
Year of introduction | 2003/2004 | Year of cancellation | 2009/2010 |
Intended for the faculties | FEI | Intended for study types | Follow-up Master |
Subject aims expressed by acquired skills and competences
The goal of subject is introduce students on analyse and design of analog/digital measuring systems from point of view linear systems theory and information theory.
Teaching methods
Lectures
Tutorials
Experimental work in labs
Project work
Summary
The course is focused on danalog/digital measuring systems analyse and design from point of view its cybernetics and informatics properties. The course presents both of common and specific quality criterions in time or frequency domain. The influence of noise is included. The optimization methods of systems are presented expecially from point of view systems dynamics, mean quadratic error and transinformation.
Compulsory literature:
Garrett,P.H.:Computer Interface Engineering for Real Time Systems, Prentice-Hall, Inc., 1987.
Recommended literature:
Pokorný,M.:Měřicí systémy. Sylaby na WWW stránkách katedry,2002 (http://kat455.vsb.cz)
Way of continuous check of knowledge in the course of semester
Verification of study:
The current activity of student is done through his laboratory activities.
Conditions for credit:
Student can gain up to 40 points from the laboratory excercices respectively 20 points from the laboratory excercises and 20 points from the individual semestral project. To pass the laboratory part of the course student has to gain at least 25 points
To pass the course student has to pass both of the laboratory part of the course and the final exam. The final exam consists of writing part 0 - 40 points and oral part 0 -20 points. Student have to be succeed in all parts of examination.
E-learning
Other requirements
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
Properties of measured signals and measuring systems.Time continuous-time and discrette-time signals and systems, frequency analysis. Properties of Fourier transform of discrette-time signals.
Information acquisition and transfer description,model of measuring system, stochastic parameters of random signals, autocorrelation and crosscorrelation function, power spectral density
Stochastic signal processing, analyse of random signals and processes in frequency and time domain, stochastic parameters and characteristics of ergodic random process.
Characteristics and criterions of linear systems in frequency and time domain. Mean quadratic error criterion.
Systems quality criterions from point of view information theory.
Reliability of information transfer, error probability through noise signals.
Transinformation
Optimization of measuring systems from point of view dynamic properties, methods, design and realization.
Optimization of measuring systems from point of view mean quadratic error minimization, Wiener-Kolmogorov optimal filter, design and realization.
Optimization of measuring systems from point of view information theory, maximization of transinformation, design and realization.
Real optimal systems properties and design.
System parameters sensitivity, sensitivity function,properties of optimal systems.
Influence of number quantification on system accuracy.
Exercises:
Calculation of characteristics and parameters if linear systems in time and frequency domain
Calculation of measuring systems criterions related to information theory
Signals properties investigation in frequency domain
Power spectral density of measuring signals investigation
Virtual measurement methods and tools
Laboratories:
Calculation of characteristics and parameters if linear systems in time and frequency domain
Calculation of measuring systems criterions related to information theory
Signals properties investigation in frequency domain
Power spectral density of measuring signals investigation
Virtual measurement methods and tools
Computer labs:
Autocorrelation and crosscorrelation functions of measuring signals calculation
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction