Chair of Electronic Measurement Tallinn Technical University

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Chair of Electronic Measurement Tallinn
Technical University
Tallinn, Estonia http//www.elin.ttu.ee/mesel/ Eh
itajate tee 5, 19086 Tallinn, Estonia

• Head of the Chair
• Professor Mart Min, email min_at_edu.ttu.ee
• Phone [phone]
• Mob 372 51 16 542
• The Chair belongs to the Department of
  Electronics, Faculty of Information Technology,
  Tallinn Technical University http//www.ttu.ee.

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Research Projects connected with Digital Signal
Processing

• EU 5th Framework Project IST-2001-34552 DASPTOOL
  Digital Alias Free Signal Processing with
  Applications in RF and Biomedical Areas
  (2002-2005). Direct digital processing of analog
  signals from DC to 700 MHz (or even 1GHz).
• Estonian target financed project Data
  Acquisition and Surveillance Systems
  (2001-2005). Digital signal processing methods in
  biomedical research and health monitoring.
• Contract based research project with GUIDANT, Inc
  (USA) Development of the Cardiac Bioimpedance
  Analyzer 2004-Simultaneous processing of
  several bioimpedance signals using undersampling.

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PhD Dissertations connected with Digital
Signal Processing 1. Olev Märtens, AC
Measurement Converters Analog and Digital
Solutions, TTU, Tallinn, 2000.2. Ants Ronk,
An Extended Block-Adaptive Fourier Analyser of
Periodic Components of Band Limited
Discrete-Time Signals, TTU, Tallinn,
2002.3. Raul Land, Synchronous Approximation
and Processing of Sampled Data Signals, TTU,
Tallinn, 2002.
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COURSE DESCRIPTION Code of course
IEM0050 Title of course in Estonian
Sensorsignaalitöötlus Title of course in
English Sensor Signal Processing Credit
points 3.5 Course content Analog to digital
conversion of sensor signals, multiplexing,
discretization in time (sampling), quantation in
level, and coding. Quantization noise, nominal
and effective number of bits. Time domain
processing of the sensor signals and measurement
signals. Digital signal processing in frequency
domain. Design methods of digital filters. Signal
processing means, digital signal processors and
their programming. Co-design of the signal
processing hard- and software components.
Sources Ifeachor, E., Jervis, B. Digital
Signal Processing a practical approach.
Addisson-Wesley Publishing Company, 1997.
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COURSE DESCRIPTION Code of course
IEM0030 Title of course in Estonian
Andmehõivesüsteemid Title of course in English
Data Acquisition Systems Credit points
4.0 Course content Gathering of measurement
information from sensors and transducers, data
processing and logging, and transmission to the
user. Integrity of measurement and computation,
communication and control. Uncertainty of
measurement, entropy, measurement errors.
Capacity of measurement channel. Analog signal
conditioning. Key-problems of analog-to-digital
(A/D) and digital-to-analog (D/A) conversion of
signals. Means and algorithms of digital
processing of signals and measurement data.
Real-time measuring systems. Software environment
LabView, virtual instruments. Local measurement
networks, local/regional area data acquisition
networks. Sources Van Putten, A. Electronic
Measurement Systems Theory Practice, 2nd ed.,
IOP Publishing, 1996. Garrett, P. Advanced
Instrumentation and Computer I/O Design. IEEE
Press, 1994.
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International Study STUDY PROGRAM Information
Technology Level Bachelor
Code  IEX0215Name  Digital Signal
ProcessingCredits  3.0Lectures  1Practice 
2Examination  ExamSemester  FallAnalogue to
digital conversion of sensor signals,
multiplexing, discretisation in time (sampling),
quantation in level, and coding. Quantisation
noise, nominal and effective number of bits. Time
domain processing of the sensor signals and
measurement signals. Digital signal processing in
frequency domain. Design methods of digital
filters. Signal processing means, digital signal
processors and their programming. Co-design of
the signal processing hard- and software
components. Study material Ifeachor, E.,
Jervis, B. Digital Signal Processing a practical
approach. Addisson-Wesley Publishing Company,
1997. Lecturer Senior Researcher O. Märtens,
PhDLanguage of instruction English
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International Study STUDY PROGRAM Information
Technology Level Bachelor
Code  IEX0055Name  Data Acquisition and
Measurement SystemsCredits  3.0Lectures 
1Practice  1Examination  ExamSemester 
SpringGathering of measurement information from
sensors and transducers, data processing and
logging, and transmission to the user. Integrity
of measurement and computation, communication and
control. Uncertainty of measurement, entropy,
measurement errors. Capacity of measurement
channel. Analogue signal conditioning.
Key-problems of analogue-to digital (A/D) and
digital-to-analogue (D/A) conversion of signals.
Means and algorithms of digital processing of
signals and measurement data. Real-time measuring
systems. Software environment Lab View, virtual
instruments. Local measurement networks,
local/regional area data acquisition networks.
The main strategies of fault detection and
localisation in electronic equipment and its
units. Testing depths and cost. Functional
possibilities, operating speed and accuracy
demands of the contemporary testing means.
Contact interfaces. Means for contact-free
testing. Diagnostics of analogue and mixed signal
devices. Methods and algorithms of fault
localisation. Decomposition of circuits,
optimising of the number of measurements.
Automation of testing and diagnostics.
Testability, testing in production, product
development. Study material 1) Van Putten, A.
Electronic Measurement Systems Theory
Practice, 2nd ed., IOP Publishing, 1996. 2)
Garret, P. Advanced Instrumentation and Computer
I/O Design. IEEE Press, 1994. Lecturer Prof. M.
MinLanguage of instruction English
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International Study STUDY PROGRAM Information
Technology Master Course
Code  IEX8185Name  Advanced Course of Data
Acquisition, Communication and Control Credits 
5.0Lectures  2Practice  2Examination 
ExamSemester  SpringSources off data flow.
Open systems interconnection framework. Types of
data networks. Control of message traffic in data
and computer networks. Client-server network
software. Quality of service and network
performance. Data management in computer
networks. Topology of data and computer networks.
Transmission systems and interconnection of
networks. Synchronous and asynchronous data
transmission. Mobile data communications. Network
management principles and systems. Data security.
Directions in development of civil and military
communication systems. GSM, GPRS, and UMTS data
communication systems, their applications in
navigation techniques. Properties and buildup of
radio navigation systems. Primary and secondary
radars, transponders. Time services. Principles
and standards of satellite navigation. GPS and
other applications. GIS (geographic information
systems). Integrated mobile communication and
navigation systems. Principles of automatic
control, dynamics of systems. Systems for
automatic control of frequency, phase and
rotation angle. Signal level and gain control
systems. Controllable filters, Dolby systems.
Phase locked loops (PLL). Applications of the PLL
in lock-in measurements, frequency synthesizers,
data transmission. Study material 1) Van
Putten, A. Electronic Measurement Systems Theory
Practice, 2nd ed., IOP Publishing, 1996. 2)
Garret, P. Advanced Instrumentation and Computer
I/O Design. IEEE Press, 1994. 3) Dye S. M.,
Baylin, F. Mobile Positioning, Mobile Life
streams, 1999. Lecturer Prof. M. MinLanguage
of instruction English