Dr. Farid Melgani 

Farid Melgani received the State Engineer degree in electronics from the University of Batna, Algeria, in 1994, the M.Sc. degree in electrical engineering from the University of Baghdad, Iraq, in 1999, and the Ph.D. degree in electronic and computer engineering from the University of Genoa, Italy, in 2003. From 1999 to 2002, he cooperated with the Signal Processing and Telecommunications Group, Department of Biophysical and Electronic Engineering, University of Genoa. Since 2002, he has been an Assistant Professor and then an Associate Professor of telecommunications at the University of Trento, Italy, where he has taught pattern recognition, machine learning, radar remote-sensing systems, and digital transmission. He is currently the Head of the Intelligent Information Processing (I2P) Laboratory, Department of Information Engineering and Computer Science, University of Trento. His research interests are in the area of processing, pattern recognition and machine learning techniques applied to remote sensing and biomedical signals/images (classification, regression, multitemporal analysis, and data fusion). He is coauthor of more than 130 scientific publications and is a referee for several international journals.
Dr. Melgani has served on the scientific committees of several international conferences. He is an Associate Editor of the IEEE Geoscience and Remote Sensing Letters and a Senior Member of the IEEE Society.

Remote Sensing

Biosignals

Spectrophotometry

 

Teaching

Digital Transmission
Laurea Degree in Telecommunications Engineering
3° year/ 1o Semester
6 credits

Topics  (click on chapter titles to download)

1. Pulse Code Modulation and Predictive Coding

Pulse Code Modulation (PCM); PCM with noise; PCM versus analog modulations; Concept of predictive coding; Delta Modulation; Adaptive Delta Modulation; Differential PCM (DPCM); Adaptive Differential PCM (ADPCM); Linear Predictive Coding (LPC); Residual Exited Linear Predictive Coding.

2. Synchronization Techniques  

Introduction to synchronization; Bit synchronization: zero crossing detection, early-late synchronizer; Scrambling and unscrambling; Frame synchronization.

3.Information Theory
Introduction; Information measure; Discrete memoryless source; Entropy; source coding; 1° Shannon’s theorem; Kraft inequality; Uniquely decipherable coding; Shannon-Fano coding; Huffman coding; Mutual information; Binary symmetric channel; Discrete channel capacity; Channel coding; 2° Shannon’s theorem; Continuous channels; Continuous channel capacity; Ideal communication systems; Hartley-Shannon law; System comparisons.

4. Error Control Coding
Error detection and correction; Hamming distance; Automatic Repeat and Request (ARQ) systems: Stop and Wait, Go Back N, and Selective Repeat strategies; Forward Error Correction (FEC) systems; Linear codes; Block codes; Matrix representation of block codes; Polynomial codes; Cyclic codes; Syndrome decoding; Convolutional codes; Decoding methods for convolutional codes.

Final assessment

The test consists in an oral examination.

References

·         A.B. Carlson, Communication Systems, McGraw Hill.

·         S. Haykin, Digital Communications, John Wiley.

·         Slides of the lecture.