Analog and digital signals. Analog to digital conversion. Digital to
analog conversion. Sampling and signal reconstruction. Fast Fourier
Transform (FFT and DFT) of complex and real data. Time and
frequency-domain analysis. Linear filters: FIR and IIR filters, linear
filter design techniques. LMS, RLS and Kalman filters. Optimal
filtering. Signal detection, estimation and modulation methods. Matched
filters and optimal estimation of signal parameters. Uppsampling,
downsampling, rate conversion, poly-phase representation, filter banks.
Complex envelopes, IQ channels, ambiguity functions. Beamforming and
analyzing methods. Wiener Filters for filtering and prediction.
Signal processing application in telecommunication. Implementation of processing algorithms on a DSP-system.
- Õpetaja/Teacher: Muhammad Mahtab Alam
- Õpetaja/Teacher: Julia Berdnikova
- Õpetaja/Teacher: Osama Mohamed Mostafa Elgarhy