Digital Communication Systems

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Υ502

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5 – 5

Professor

Upon completion of the course, students will be able to:

Encode a signal source and find its entropy.
convert a signal from analog to digital and find the quantization error.
find the required bandwidth for PCM systems.
create geometric representations from the waveforms of the signals.
know the function and how to use the correlation demodulator.
know the function and how to use the custom filter demodulator.
know the function and how to use the optimal carrier.
They will familiarize themselves with the issue of demodulation and understand the relevant methodologies for recovering the transmitted signals at the receiver.
Determine the potential for error for various digital modulation techniques and understand ways to minimize it.
study the issue of digital transmission over limited bandwidth channels and understand the problems arising from this fact.
design signals suitable for bandwidth-limited channels.
specify AWGN channel capacity and basic coding principles for reliable communication.
solve design problems of digital telecommunication systems using appropriate PC software.

Sources of information, entropy, and coding.
Nyquist theorems (regarding the required bandwidth).
Analog to digital conversion: Pulse Code Modulation (PCM), Differential Pulse Coding (DPCM), and Delta modulation (DM).
Introduction to the concept of noise and noise channel modeling (Gaussian white noise additive, AWGN).
AWGN channel capacity.
Baseband digital transmission techniques: Pulse Amplitude Modulation (PAM) and Pulse Position Modulation (PPM).
Optimal detector design for digitally modulated signals in the presence of Additive White Gaussian Noise.
Intersymbol interference phenomenon and its elimination with raised cosine filters.
Passband digital modulation techniques: Phase shift keying (PSK), Phase shift and amplitude modulation (QAM), frequency-shift keying (FSK).
Error probability of digital modulation techniques