Lectures
1. Introduction to the course scope and review.
2. Discrete-time signal . Basic definitions, scope of study, digital signal.
3. Time-domain analysis of discrete-time signal focusing on basic signal parameters.
4. Correlation functions and time-domain analysis of discrete-time signal .
5. Frequency analysis of continuous-time signal .
6. Frequency analysis of discrete-time signal .
7. Transformation of analog signal to digital signal (Analog-to-Digital Conversion).
8. Transformation of digital signal to analog signal (Digital-to-Analog Conversion).
9. Converters for digital and analog signal transformation.
10. Basic system principles, methods, and techniques of digital signal processing.
11. Methods and techniques of digital signal filtering using FIR filters. Description of basic algorithms.
12. Methods and techniques of digital signal filtering using IIR filters. Description of basic algorithms.
13. Description and definition of signal noise.
Labs (Exercises)
1. Signals in the time domain – simulation and measurement using virtual instruments.
2. Signal measurement using instrumentation and virtual instrumentation.
3. Calculation of basic signal parameters – simulation and implementation in a microcontroller.
4. Calculation of signal correlation function – simulation and implementation in a microcontroller.
5. Frequency analysis using instrumentation and virtual instrumentation.
6. Discrete frequency analysis (DFT/FFT) – simulation and implementation in a microcontroller.
7. Analog-to-digital transformation (ADC) – simulation, implementation in a microcontroller, and measurement using instruments.
8. Digital-to-analog transformation (DAC) – simulation, implementation in a microcontroller, and measurement using instruments.
9. Simulation of converters for digital and analog signal transformation.
10. System application using simulation.
11. Implementation of FIR filters – simulation and microcontroller programming.
12. Implementation of IIR filters – simulation and microcontroller programming.
13. Test.
1. Introduction to the course scope and review.
2. Discrete-time signal . Basic definitions, scope of study, digital signal.
3. Time-domain analysis of discrete-time signal focusing on basic signal parameters.
4. Correlation functions and time-domain analysis of discrete-time signal .
5. Frequency analysis of continuous-time signal .
6. Frequency analysis of discrete-time signal .
7. Transformation of analog signal to digital signal (Analog-to-Digital Conversion).
8. Transformation of digital signal to analog signal (Digital-to-Analog Conversion).
9. Converters for digital and analog signal transformation.
10. Basic system principles, methods, and techniques of digital signal processing.
11. Methods and techniques of digital signal filtering using FIR filters. Description of basic algorithms.
12. Methods and techniques of digital signal filtering using IIR filters. Description of basic algorithms.
13. Description and definition of signal noise.
Labs (Exercises)
1. Signals in the time domain – simulation and measurement using virtual instruments.
2. Signal measurement using instrumentation and virtual instrumentation.
3. Calculation of basic signal parameters – simulation and implementation in a microcontroller.
4. Calculation of signal correlation function – simulation and implementation in a microcontroller.
5. Frequency analysis using instrumentation and virtual instrumentation.
6. Discrete frequency analysis (DFT/FFT) – simulation and implementation in a microcontroller.
7. Analog-to-digital transformation (ADC) – simulation, implementation in a microcontroller, and measurement using instruments.
8. Digital-to-analog transformation (DAC) – simulation, implementation in a microcontroller, and measurement using instruments.
9. Simulation of converters for digital and analog signal transformation.
10. System application using simulation.
11. Implementation of FIR filters – simulation and microcontroller programming.
12. Implementation of IIR filters – simulation and microcontroller programming.
13. Test.