Lecturer: Paolo Ettore Gamba  

Course name: Analog Communications
Course code: 504021
Degree course: Ingegneria Elettronica e Informatica
Disciplinary field of science: ING-INF/03
L'insegnamento è caratterizzante per: Ingegneria Elettronica e Informatica
University credits: ECTS 9
Course website: http://tlclab.unipv.it/sito_tlc/downloads.do?catId=Com_
an_dig

Specific course objectives

Knowledge of the frequency representation of a deterministic signal. Understanding the concept of noise as a stochastic process. Knowledge of the simplest techniques for transmitting information. Ability to analyze deterministic signals and calculate fundamental properties (spectrum, bandwidth, power/energy).

Course programme

Deterministic signals in the frequency domain
Fourier series. Fourier series in exponential form. Response of linear systems and properties of transfer functions. Power and energy signals. Power spectral density and energy. The Fourier transform. The convolution theorem. Parseval's theorem. Correlation between waveforms. Auto correlation. Power and cross correlation. Periodic autocorrelation functions. Meaning and Importance of integrals of correlation.

Random variables and processes
Concept of probability, independent events, random variables. Cumulative probability distribution, probability density. Noise as stochastic process. Stationary processes. Ergodic processes.

Communication systems, amplitude modulation

Baseband signal and carrier signal. Translation in frequency. Detection of the baseband signal. Amplitude modulation (DSB, DSB-SC SSB-SC). Spectrum of signals modulated in amplitude. Modulators. Detectors. Multiplexing.

Communication systems, frequency modulation
Frequency & phase of a sinusoidal signal. The FM signal. Spectrum of an FM signal with sinusoidal modulation. FM signals in broadband and narrowband. Spectrum of FM signals. FM modulators and demodulators.

Digital communication systems
Signal sampling, quantization, binary signals, PCM and PAM systems. Digital modulation: ASK, FSK, PSK. QAM and QPSK signals. Representation of arbitrary digital signals.

Performance of communication systems

Signal to Noise Ratio. Comparison between AM and FM systems. Probability of error in digital communications. Bit Error Rate for arbitrary digital modulations.

Course entry requirements

Knowledge acquired in previous courses in maths and circuit theory.

Course structure and teaching

Lectures (hours/year in lecture theatre): 53
Practical class (hours/year in lecture theatre): 30
Practicals / Workshops (hours/year in lecture theatre): 0

Suggested reading materials

Leon W. Couch II. Fondamenti di Telecomunicazioni. Pearson-Prentice Hall.

Testing and exams

The exam will start with a written test including problems and open questions. Additionally, a mandatory oral examination will sum up to the final result.