Subject 'Signals and Signal Processing'

Year:   2019/2020    2020/2021    2021/2022    2022/2023    2023/2024    

Tallinn University of Technology, https://ois2.ttu.ee

The goals of the subject are:
• to give the theoretical basis of analog and digital signal processing;
• to teach to solve main problems associated with analog and digital signal processing;
• to teach to associate algorithms and structural circuits;
• to show the possible signal processing applications in practice.

Student who has passed the subject:
• is able to operate with formulas of analog and digital signals;
• is able to find the main parameters of the signals (power, average values etc.);
• is able to make analog to digital and digital to analog conversions;
• is able to find the spectrum of analog and digital signals using discrete- and fast Fourier' transform (FFT);
• is able to develop and use digital filters;
• is able to compose circuits for analog and digital signal generation and use common signal processing algorithms;
• is able to operate with the random signals.

Signal sources. Radio signal, video signal, audio signal.
Analog and digital signals with finite and infinite duration. Periodical signals. Analog to digital conversion. Digital to analog conversion. Average value, power, energy, spectrum. Power spectrum. Correlation, orthogonality, convolution. Random signals, probability function, stationarity, ergodity. Moments. Cyclic signals, even and odd signals. Discrete Fourier Transform (DFT).
Fast Fourier Transform (FFT) of complex and real data.
FIR and IIR filters. Using Fourier transform for filtering of infinite and finite signals. Hilbert transform.
Signal generation. Signal cutting, quadrature transformation. Arbitrary waveforms generation.
Non-linear conversion. Frequency multiplying and transformation. Signal processing applications.

2019: CNS/TECH  

2018: CNS  CNS/TECH  

2017: CNS