Laboratory of Electronic and Computer Engineering 1

Course Description

The purpose of this course is to give students the practical knowledge about digital signal processing, analog signal processing procedures in time and frequency domain, as well as ability to realize practical circuits, modeling and simulation of synthetic and real-world random processes, design and implementation of optimum linear systems, modeling of quantization noise. The course offers an individual hands-on experience about the theoretical concepts that are taught in Digital Signal Processing, Analog and Mixed Signal Processing, Random Processes in Systems.

General Competencies

The course offers students opportunity to program, simulate and verify basic digital signal processing algorithms. For this purpose, they will use Matlab programming environment together with the Signal processing toolbox. Also, they will be able to individually investigate real-time implementation of these algorithms on a DSP based laboratory test-beds that consist of: DSP evaluation board, signal generator, microphone input, loudspeaker and oscilloscope. Work in the laboratory is supplemented with self study hours that students spend at home by solving exercises and writing Matlab programs as a preparation for the next laboratory session. The students should get acquainted with laboratory instrumentation, and procedures for measurement the parameters and analysis of various analog signal processing circuits, be able to create projects and solutions for different signal processing tasks, and to develop and realize simple SP circuits. Simulate linear and nonlinear analog circuits using CAD programs.

Learning Outcomes

  1. explain elements of practical methods for electronic and computer engineering
  2. analyze the given practical problem of electronic and computer engineering
  3. breakdown a practical problem of electronic and computer engineering
  4. combine acquired knowledge and propose a solution to the given problem
  5. design a new solution to the given problem
  6. evaluate a practical solution of the developed solution to an electronic and computer engineering problem

Forms of Teaching

Lectures

Lectures are organized to support laboratory exercises. The goal is to present measurement equipment and measurement procedures.

Laboratory Work

Individual practical experience in laboratory in applying the concepts that are taught in Digital signal processing, Stochastic processes in systems and Analog and mixed signal processing

Consultations

Organized upon request.

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 50 % 100 % 50 % 100 %
Comment:

No mid-term and final exam. Acquired knowledge and skills are tested at the end of each laboratory exercise. Points acquired at the laboratory exercises pertaining to each of the three theoretical courses related with this one contribute 33.3% of the final mark. Students have to acquire at least 50% of points in each of the three exercise groups.

Week by Week Schedule

  1. Introduction to Laboratory of Electronic and Computer Engineering 1. Students have to complete three topics: Digital signal processing, Stohastic processes in systems and Analog and Mixed signal processing
  2. Topic: Digital Signal Processing. Realization of digital signal processing algorithms in MATLAB and practical experiments using digital signal processing evaluation systems. Program, simulate and verify basic digital signal processing algorithms. Use of Matlab programming environment together with the Signal processing toolbox. Investigate real-time implementation of these algorithms on a DSP based laboratory test-beds that consist of: DSP evaluation board, signal generator, microphone input, loudspeaker and oscilloscope.
  3. Topic: Stochastic processes in systems. Modeling and simulation of random processes using MATLAB. Estimation of mean, variance, and power spectrum from experimental data. Design of Wiener and matched filter, as well as optimum scalar quantizer. Modeling and simulation of random processes using MATLAB. Estimation of mean, variance, and power spectrum from experimental data. Design of Wiener and matched filter, as well as optimum scalar quantizer.
  4. Topic: Analog and Mixed signal processing. Second-order passive-RLC filter (Biquad), Second-order LP, HP and BR active-RC filter realization (Biquads), Measurements of Bode diagrams of analog filters and spectrum of signals and noise using sophisticated laboratory equipment, Active RC analog filter design using synthesis software (FILTERCAD), and analysis of parameters using analysis software (PSPICE). Work with laboratory instrumentation. Experimenting with procedures for measurement the parameters and analysis of various analog signal processing circuits. Creating projects and solutions for different signal processing tasks, and developing and realization of simple SP circuits. Simulation of linear and nonlinear analog circuits using CAD programs.
  5. Laboratory exercises in prescribed topics
  6. Laboratory exercises in prescribed topics
  7. Laboratory exercises in prescribed topics
  8. Laboratory exercises in prescribed topics
  9. Laboratory exercises in prescribed topics
  10. Laboratory exercises in prescribed topics
  11. Laboratory exercises in prescribed topics
  12. Laboratory exercises in prescribed topics
  13. Laboratory exercises in prescribed topics
  14. Laboratory exercises in prescribed topics
  15. Time slot for supplementary exercises

Study Programmes

University graduate
Electronic and Computer Engineering (profile)
(1. semester)

Literature

D. Petrinović, D. Petrinović, R. Bregović, H. Babić. i B. Jeren (2003.), Digitalna obradba signala - Upute za laboratorijske vježbe, FER-ZESOI
R. Schaumann, M. E. Van Valkenburg (2001.), Design of Analog Filters, Oxford UP
S. Franco (2002.), Design with Operational Amplifiers and Analog Integrated Circuits, McGraw Hill
D. Seršić, S. Lončarić, T. Petković (2005.), Random Processes in Systems Laboratory, FER-ZESOI
(2005.), MATLAB User Manual, The MathWorks Inc.

Laboratory exercises

General

ID 35232
  Winter semester
5 ECTS
L0 English Level
L1 e-Learning
30 Lectures
0 Exercises
60 Laboratory exercises
0 Project laboratory

Grading System

88 Excellent
75 Very Good
62 Good
50 Acceptable