italian version

Aims :

Introduction of basic knowledges of the signals: random signals and deterministic signals. Time domain and frequency domain analysis using the Fourier transform and the Inverse Fourier transform. Analog and digital signals: sampling, quantization and encoding.

Topics :

Random signals: Probability definitions, introduction to combinatorial analysis. Statistics dependence and independence: Bayes theorem. Continuous and discrete random variables: cumulative distribution function; probability density function. Moments of a random variable. Couple of a random variables, correlation coefficient. Asintotic proprieties of random variables, large number laws, theorem of central limit. Stochastic processes: stationarity and ergodicity, stochastic derivation.
Deterministic signals: Finite energy and finite power signals. Duality t/f, proprieties of the Fourier series and of Fourier transform. Convolution, correlation, energy spectrum and power spectrum. Power spectrum of a stochastic process. Linear systems. Sampling, quantization and encoding. Sampling theorem. PCM encoding of telephonic signal and musical signal. The discrete Fourier transform. The decibel system. Thermal noise: thermal noise power, quantum correction. intersymbol interference (ISI), raised cosine filters, eye diagram.

Textbooks :

Teacher's notes: http://www.ee.univpm.it/Moglie/TdS.html.
Giovanni Cancellieri, "Telecomunicazioni: Servizi, Sistemi, Segnali", Pitagora Editrice, Bologna
2000.

Exam :

Written and Oral examination.

Tutorial Session :

By appointment, before or after lessons.