Introduction to Communication Systems

ID : 
Κ21
Semester : 
4
Credit hours (lecture): 
3
Credit hours (discussion): 
1
Credit hours (lab): 
0
Prerequisites : 
Track: 
Core Informatics and Telecommunications

Elements of the Fourier transform and probability theory, Gaussian probability density function, introduction to stochastic processes, signal communication system, analog communication systems (AM, FM), frequency multiplexing, effect of noise on analog communication systems, digital signal transmission through additive white Gaussian noise (AWGN) channel, optimum receiver for digitally modulated signals in AWGN (optimum demodulation and optimum detection), MPAM, M-PSK, M-QAM, M-FSK, comparison of digital signal transmission systems, channel capacity, digital coding of analog signal, quantization, PCM, DPCM Comparison of analog signal transmission systems.