SVIBOR - Project code: 2-07-203


Strossmayerov trg 4, HR - 10000 ZAGREB
tel.: +385 1 459 44 44, fax: +385 1 459 44 69


SVIBOR - Collecting Data on Projects in Croatia

Project code: 2-07-203


Main researcher: ROŽIĆ, NIKOLA (74482)

Type of research: applied
Duration from: 04/30/91. to 12/31/95.

Papers on project (total): 122
Institution name: Fakultet elektrotehnike,strojarstva i brodogradnje, Split (23)
Department/Institute: Department of electrical engineering Department of telecommunications and information systems
Address: Ruđera Boškovića bb.
City: 21000 - Split, Croatia
Phone: 385 (0)21-56-37-77
Fax: 385 (0)21-56-38-77

Summary: Within the framework of the project "Forecasting in Engineering", the application of predictive methods is being investigated at the following levels: 1. Information source modelling, signal processing and coding, 2. Information and communication systems modelling, 3. The application of the predictive methods in planning and control. At the level 1., we investigate the predictive methods suitable for source modelling (e.g. natural and artificial languages), speech, image and data source modelling. These models are the basis for the application of predictive coding methods in data compression (speech, image and video, data, time series and sequences) and the basis of general adaptive signal processing methods, applied in signal restauration or filtering, equalization and echo cancellation. At level 2. we investigate the predictive methods suitable for modelling of technical systems (or subsystems) which can be considered as closed entities. These models are the basis for the simulation of these systems. They provide the prediction of the system performances in different working conditions. The typical example is modelling of communication channels, protocols, local area networks, process and production chains, power and hydrology systems etc. At level 3. we investigate the predictive methods suitable for the modelling of so-called complex systems, that cannot be considered as closed systems because of their interaction with the environment. These systems are exposed to the outer disturbances of generally stochastic type. Such complex systems are generally statistically undetermined, are time variant with the unknown structure. Identified and adapted models are the basis for forecasting, planning and decision making. The typical example is traffic planning, telecommunication systems development planning, forecasting of new sevices demand and introduction, forecasting of the products demand and selling, and even the planning in socioeconomic systems.

Keywords: Modelling, prediction methods, adaptive algorithms, data compression, redundant coding, speech, audio, video, image, graphics, enciphering, communication networks, protocols, linear stochastic systems, nonlinear systems, fractals, vector quantization, time series, identification, forecasting, expert systems, decision making.

Research goals: The objective of the project is investigation of the application oriented forecasting methods in the field of engineering, particulary in the field of information and communication systems. It is also applied in the field of socioeconomics as long as it interferes with engineering. Namely, because of the fast development in engineering technology, there is a need for a comprehensive methodology which resolves problems depth as well as in breadth in a multidisciplinary way, i.e. at all levels. Based on the studying of the published research results, we believe that forecasting methodology based on the source, signal and system modelling incombination with the optimization algorithms, offers required solution. This kind of approach makes the educational process together with the knowledge implementation process in system development, exploatation and maintenance, easier and more efficient. The contribution of our research is therefore expected in the following areas: - the publication of scientific papers, books and textbooks related to the field of forecasting methods and their applications, - taking part in meetings, conference and seminars organization, - education of undergraduate and graduate students and young researchers, - development of original software products and their promotion, education of engineers employed in bussiness and industry.


  1. Name of institution: Arizona State University, Dept. of Electrical Engineering
    Type of institution: University/Faculty
    Type of cooperation: Joint project
    City: 85287-7206 - Tempe, Arizona, USA

  2. Name of institution: Fakultet elektrotehnike i računalstva, Zavod za telekomunikacije
    Type of institution: University/Faculty
    Type of cooperation: Joint publishing of scientific papers
    City: 10000 - Zagreb, Croatia

  3. Name of institution: Fakulteta za strojništvo
    Type of institution: University/Faculty
    Type of cooperation: Joint project
    City: 61000 - Ljubljana, Slovenija

  4. Name of institution: Institut Jozef Stefan
    Type of institution: State institute
    Type of cooperation: Systematic exchange of information
    City: 61000 - Ljubljana, Slovenija

  5. Name of institution: Hrvatska pošta i telekomunikacije HPT-TKC Split
    Type of institution: Institution whose primary activities ar
    Type of cooperation: Joint project
    City: 21000 - Split, Croatia

  6. Name of institution: TERENA
    Type of institution: International organization
    Type of cooperation: Joint project
    City: ox11 0qs - Oxon, United Kingdom

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Last update: 10/11/95