Digital Signall Processing Systems

Објавено: October 12, 2018
  1.    Course Title Digital Signall Processing Systems
  2.    Code 3ФЕИТ05Л036
  3.    Study program KHIE
  4.    Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
  5.    Degree (first, second, third cycle) First cycle
  6.    Academic year/semester III/6   7.    Number of ECTS credits 6.00
  8.    Lecturer Dr Dimitar Tashkovski, Dr Marija Markovska Dimitrovska
  9.    Course Prerequisites Taken course: Digital Signall Processing

10.    Course Goals (acquired competencies):  The course aims to introduce the student to the techniques of multirate processing, a concept that is applied in a large number of applications, as well as to familiarize him with basic tools and hardware for real-time processing. Upon completion of the course, the student will: – demonstrate understanding and competence for solving practical problems with multi-rate processing; – can distinguish when processing non-stationary signals; – can optimally implement the basic algorithms for digital signal processing in real time; – has the basic knowledge needed to implement the algorithms on hardware for DSP

11.    Course Syllabus: Multirate digital systems. Basic operations: decimation and interpolation. Filters banks for analysis and synthesis. Polyphase representation. Efficient structures for decimation and interpolation. Application of multirate digital systems. Maximum decimated filter banks. Polyphase representation. Perfect reconstruction. Tree-structure filter banks. Perfect-reconstruction linear-phase (LP) filter banks. Analysis of non-stationary signals. Short Time Fourier Transform. Wavelet transform. Implementation of DSP algorithms. Processing of signals with NI DSP Speedy 33. NI DSP Speedy Architecture 33. Implementation of basic operations on NI DSP Speedy 33.

12.    Learning methods:  Blended teaching method: lecturing, tutorials and lab exercises, supported by presentations and visualization of concepts, active participation of students through tests, assignments and projects.

13.    Total number of course hours 3 + 1 + 1 + 0
14.    Distribution of course hours 180
15.    Forms of teaching 15.1. Lectures-theoretical teaching 45
15.2. Exercises (laboratory, practice classes), seminars, teamwork 30
16.    Other course activities 16.1. Projects, seminar papers 30
16.2. Individual tasks 30
16.3. Homework and self-learning 45
17.    Grading 17.1. Exams 0
17.2. Seminar work/project (presentation: written and oral) 20
17.3. Activity and participation 10
17.4. Final exam 70
18.    Grading criteria (points) up to 50 points     5 (five) (F)
from 51 to 60 points     6 (six) (E)
from 61 to 70 points     7 (seven) (D)
from 71 to 80 points     8 (eight) (C)
from 81 to 90 points     9 (nine) (B)
from 91 to 100 points   10 (ten) (A)
19.    Conditions for acquiring teacher’s signature and for taking final exam Lectures and tutorials attendance and successful completion of lab exercises.
20.  Forms of assessment During the semester, two partial exams are provided (at the middle and at the end of the semester, each with duration of 120 minutes), laboratory exercises, homeworks and a project work. The project work has to be handed over by the beginning of the first exam session.
The requirement for passing the course through partial exams is minimum 50% of the total number of points from all activities and additionally minimum 50% of the total number of points from the partial exams.
In the exam sessions, a whole exam is taken (with duration of 120 minutes). The requirement for passing the course through an exam is minimum 50% of the total number of points from all activities (whole exam, laboratory exercises, homeworks and project work) and additionally minimum 50% of the total number of points from the exam.
The use of books, scripts, or notes of any kind during the exam, as well as a mobile phone, tablet or any other electronic device is not allowed
21.  Language Macedonian and English
22.  Method of monitoring of teaching quality Internal evaluation and surveys.
23.    Literature
23.1. Required Literature
No. Author Title Publisher Year
1 Mitra Sanjit K. Digital Signal Processing:A Computer-Based approach, 2 edition McGraw Hill 2001
2 P. P. Vajdijanatan Multirate Systems and Filter Banks Prentice Hall 1993