Università Roma Tre

Generality on communication systems. Message and signal definition. Signal representations. The signals as elements of a vectorial space. Generalized Fourier Representation. Cross and auto-correlation function: definition and properties. Linear transformations. Linear and time-invariant systems. I/O relations: convolution integral and its properties. Fourier series expansion. Fourier Transform. Parseval and Wiener theorems. Energy and power spectral density. Limited bandwidth signals. Sampling theorem. Sub-sampling effects. Hilbert transform. Analytical signal, complex envelope and low-frequency components of a band-pass signal. Bandwidth limited signals linear transformations and their samples relations.Analogic signals amplitude modulation (BLD-PI, BLD-PS, BLR, BLUE). Synchronous and envelope demodulation. Analogic signals angular modulation (phase and frequency). Frequency modulated demodulation schemes.

Axiomatic theory of probability. The axioms of probability. Bayes' theorem. Random variables. Distribution and probability density function. Mean, variance, moments, covariance matrix. Characteristic function. Functions of one random variable. Multiple random variables: joint distributions. Conditional distributions. Central limit theorem. Gaussian random variables: univariate and multivariate. Bernoulli random variable. Poisson random variable. Laws of large numbers. Stochastic processes: general concepts. Stationary processes. Ergodic processes and related theorems. Parametric stochastic processes. Linear and non-linear transformation of stochastic ergodic processes. Continuous-time random processes; gaussian process, P.A.M. random process, armonic process.

• R. CUSANI- TEORIA DEI SEGNALI- INGEGNERIA DUEMILA
PERAPPROFONDIMENTI ED ESERCIZI
• RICCARDO LEONARDI, PIERANGELO MIGLIORATI, ESERCIZI DI TEORIA DEI SEGNALI, TERZA EDIZIONE, SOCIETÀ EDITRICE ESCULAPIO, 2011