2019 - 2020

0512-4162
  Digital Transmission of Signals                                                                      
FACULTY OF ENGINEERING
Prof. Ram ZamirWolfson - Engineering130Sun1600-1800 Sem  2
Wolfson - Engineering120Wed1400-1600 Sem  2
 
 
University credit hours:  4.0

Course description
Credit points: 3.5
Prerequisites: Introduction to Digital Signal Processing; Digital Communications.
Source Coding- Quantization techniques: uniform, companding, Lloyd-Max, VQ, high-resolution. Waveform coding: PCM, DPCM, delta modulation, adaptive PCM and DPCM, sub-band and transform coding. Transmission errors effect. Channel Modulation/De-Modulation- Base-band digital communication (PAM): performance in ideal channel, matched filter, power spectrum. Line-codes. Channel impairment: inter-symbol interference (ISI). Nyquist’s criterion. Detection in the presence of ISI: maximum-likelihood sequence estimation, equalization (linear, zero-forcing, decision-feedback, adaptive, in the transmitter). Echo cancellation

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