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Šifra:
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86509
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ECTS:
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4
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Lecturers in charge:
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Prof. dr. sc.
Davor Petrinović
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Lecturers:
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dipl. ing.
Branimir Dropuljić - Laboratory exercises
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Take exam:
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Studomat
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English level:
1,0,0
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All teaching activities will be held in Croatian. However, foreign students in mixed groups will have the opportunity to attend additional office hours with the lecturer and teaching assistants in English to help master the course materials. Additionally, the lecturer will refer foreign students to the corresponding literature in English, as well as give them the possibility of taking the associated exams in English.
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Load:
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| Lecture type | Total |
| Lectures |
30 |
| Laboratory exercises |
8 |
* Load is given in academic hour (1 academic hour = 45 minutes)
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Description:
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Digital signal processors (DSP) have dedicated architecture designed for efficient
implementation of digital signal processing algorithms. Therefore, software design for DSP is
very specific and complicated especially for programmers trained in generic high-level
languages. Computationally intensive tasks must usually be hand optimized at assembly
level, requiring detailed knowledge of DSP architecture, of digital signal processing
algorithms, but also good experience with modern development tools. Through this course
students will acquire knowledge of DSP software design, with special emphasis on modern
DSPs with VLIW architecture, as well as general purpose CPUs with SIMD/DSP architectural
extensions.
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Literature:
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- DSP Software Development Techniques for Embedded and Real-Time Systems; Oshana, R.; Elsevier; 2005; ISBN: 978-0750677592
- DSP Applications Using C and the TMS320C6x DSK; Chassaing, R.; John Wiley; 2002; ISBN: 978-0471207542
- Optimizing Applications for Multi-Core Processors, Using the Intel® Integrated Performance Primitives, Second Edition; Taylor, S.; Intel Press; 2003; ISBN: 978-1934053010
- Computer Systems: A Programmer's Perspective (2nd Edition); Brayant, R.E., O Hallaron, D.; Prentice Hall; 2003; ISBN: 978-0136108047
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Prerequisit for:
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Enrollment:
Passed:
Digital Signal Processing
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2. semester
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Predmeti specijalizacije profila
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3. semester
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