Digital Communications


Information Sources and Source Coding; Analog Signal Transmission and Reception; Effect of Noise on Analog Communication Systems; Digital Transmission Through an Additive White Gaussian Noise Channel; Pulse Code Modulation, ADPCM, ADM; Digital Transmission Through Bandlimited AWGN Channels; Digital Transmission via Carrier Modulation (ASK, PSK, FSK, QAM).


Objectives

Introduction and familiarization with the basic concepts of Digital Telecommunications. Simulation of digital telecommunications systems through the MATLAB programming environment.


Prerequisites

Linear Algebra Probabilities Digital Signal Processing


Syllabus

Section 1 - Introduction Section 2 - Information Theory and Source Coding Section 3 - Prefix Codes and Huffman algorithm Section 4 - Information Theory and Channel Capacity Section 5 - Rate-Distortion Theory Section 6 - Analog Source Coding - Quantization Section 7 - Waveform Coding Section 8 - Geometric Representation of Waveform Signals Section 9 - Pulse Amplitude Modulation Section 10 - 2-D Signal Waveforms Section 11 - Multi-dimentional Signal Waveforms Section 12 - Optimal Receiver Section 13 - Error Probability for Binary Modulation Section 14 - Digital Signal Transmission in Bandlimited AWGN Channel

COURSE DETAILS

Level:

Type:

Undergraduate

(A+)


Instructors: Kostas Berberidis
Department: Computer Engineering & Informatics Department
Institution: University of Patras
Subject: Computer and Electronic Engineering
Rights: CC - Attribution-NonCommercial-ShareAlike

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