Subject 'Signals and Signal Processing'

Year:   2015/2016    2016/2017    2017/2018    2018/2019    2019/2020    

Tallinn University of Technology

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 structual circuits.
To show the possible signal processing applications in practice.

Having finished the study of the subject a student has to be able:
To operate with formulas of analog and digital signals.
To find the main parameters of the signals (power, average values etc.).
To make analog to digital and digital to analog conversions.
To find the spectrum of analog signals and spectrum of the digital signals using discrete- and fast Fourier' transform.
To develop and use digital filters.
To compose circuits for analog and digital signal generation and use common signal processing algorithms.
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, othogonality, 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.

2016: CNS  

2015: CNS  

2014: CNS  

2013: CNS