Learning Outcomes
The study of systems that serve to transfer information over long distances for communication. The theory of communication systems involves the study of information processing techniques (coding, decoding), the effect of noise and the characteristics of transportation, and their applications in the design of telecommunication devices.
Course Content (Syllabus)
Information Theory – Coding (Definitions, Entropy, Shannon Theorem, Channel Capacitance, Ideal Channel, Binary Symmetric Channel, Error Detection – Correction, Huffman, Shannon – Fano Codes) Sampling, Quantization, Pulse Code Modulation (PCM). Digital Barcodes, Multiplexing Types, Differential PCM, Delta Modulation, Voice Coding, Demodulation, Baseband Detection, Intersymbol Interference (ISI), Nyquist Filters, Wireless Channel Features. Digital Data Transmission Systems (Techniques OOK, ASK, FSK, MPSK, MSK, M-QAM, TCM and Variants. Machine learning in wireless communications.
Additional bibliography for study
Ψηφιακές επικοινωνίες :Θεωρία και εφαρμογές, Bernard Sklar, 2η έκδοση, Παπασωτηρίου, 2011
Ψηφιακές Επικοινωνίες, Α. Bateman , εκδόσεις Τζιόλα, 2000.
Σύγχρονες αναλογικές και ψηφιακές επικοινωνίες, P. B. Lathi, Zhi Ding, Τζιόλα, 2018
Τηλεπικοινωνιακά Συστήματα, Taoub-Schilling, έκδοση 3η, εκδόσεις Τζιόλα 2013.(Μετάφραση: Principles of Communication Systems, McGraw-Hill Inc., 1986).
Carlson A. B., Crilly P. B. and Rutledge J. C., Communication Systems: An Introduction to Signals and Noise in Electrical Communication, (4th ed.), McGraw-Hill, Inc., 2002.
Proakis J. G. and Salehi M., Communication Systems Engineering, 2nd ed., Prentice Hall, Inc., 2002.