II rok

Signal Processing (20024/25) - Labolatory

ignal classification: continuous and discrete time systems; deterministic and random signals; elementary signals; Linear systems and filters: classification of systems - linear vs. nonlinear, time-invariant, causal and anticausal; continuous time systems and their description; discrete time systems and their description; system response to elementary excitation; linear and circular convolution; filtering; connecting systems in parallel and in chain; stability. Spectral analysis: orthogonal signals and orthogonal signal bases; Fourier series; Fourier transform; relation between Fourier series and Fourier transform; properties of Fourier series and transform; Discrete Time Fourier Transform; Discrete Fourier Transform; comparison of various methods of Fourier analysis. Sampling: band-limited signals; sampling theorem; reconstruction from sampled signal; A/D and D/A conversion; quantization noise; signal to noise ratio. Z transform: properties, inverse transform and methods of finding inverse Z transform; Parseval's theorem; relation between the Z transform and Discrete Time Fourier Transform; Fast Fourier Transform. Digital filters: filtering in time domain and in frequency domain; selected structures of digital filters; linear phase filters; FIR filter design with the windowing method; IIR filter design using analog prototypes and bilinear transformation; frequency conversion; comparison of FIR and IIR filters. Continuous time modulation: amplitude modulation: AM, DSB-SC, SSB; analytic signals; Hilbert filter; demodulation of SSB signal with the use of Hilbert filter; phase and frequency modulation; interpolation and decimation.

Object Oriented Programming in C++, encapsulation, overloading, inheritance, polymorphism, with examples and projects