Electronics Engineering

A) Theory * Information theory Statistical measure of information Entropy. Conditional and joint entropy. Relative entropy. Kullback-Leiber distance. Asymptotic equipartition. Capacity of discrete channels Capacity of continuous channels Theoretical bounds for modulation. *Channel coding Error correction codes Block codes Parity check and Hamming codes, Hamming distance and weight. Soft and hard decoding Performance analysis Perfect codes Code gain Parity check matrix Syndrome Cyclic, BCH and Reed-Solomon codes Maximum lenght shift register codes Convolutional codes Code generating polynomial * Source coding Lossless vs. lossy coding Speech and telephone signals Speech signal and its production model Frequency analysis for non-stationary and quasi-stationary signals. Spectrogram. Telephone signals Quantization error Signal-to-quantization noise ratio Uniform vs. non uniform quantization Adaptive and differential quantization Standard Parametric coding and waveform coding for speech signals Waveform coding: PCM, DPCM, ADPCM, ADM Parametric coding: LPC, GSM, MP3. Image signals Characteristics and description of grayscale and color still images Aspect ratio Luminance and chroma Sampling and reconstruction of a still image Moving images (Transmit time)-bandwidth) relationship for analogue transmission of row-sampled images Numeric representation of a sampled image * Standard [NTSC, SECAM, PAL, DVD] MPEG-2 Part 2 (H262) and MPEG-4 Part 10 (H264) DVB-T/DVB-T2, ATSC, DTMB, ISDB-T Full HD, Super HD * Modulation Advanced modulation schemes Code Division Multiple Access (CDMA) Spread spectrum modulation CDMA dialects: DS-CDMA and FH-CDMA Matched filter and optimal SNR Coding gain Multi-pulse modulation and generalized Nyquist condition Spectral efficiency Orthogonal Frequency Division Multiplexing (OFDM) Principles of OFDM in modern communication systems Analogue modulation and demodulation schemes Numeric and FFT-based implementation of modulation and demodulation schemes Cyclic prefix and equalization Performance and coding in OFDM systems Channel estimation techniques Peak-to-Average power Ratio (PAR) OFDMA and MC-CDMA Brief introduction to the evolution of modulation and coding schemes in 5G and to Non-Orthogonal Multiple Access (NOMA) * Multiple access and channel capacity for multiple access systems Multiplexing techniques Single carrier and multicarrier systems: TDMA, FDMA, CDMA, OFDMA Interference models and performance analysis “Standard Gaussian Approximation” hypothesis Performance comparison Channel coding for multiple access systems B) Applications and experimental verification Study and application of system and network simulation tools.

Knowledge of signal theory and fundamentals of communications

Slides used during the lectures, texts and solutions of the exercises

Course attendance is strongly recommended

The exam is composed of a written test and an oral interview. The written test consists in a set of exercises to be solved by combining analytical derivations and software tools introduced during the course. The interview is focused on topics taught during the course lectures.

Cover, Thomas, and Joy Thomas (2006). Elements of Information Theory. 2nd ed. New York, NY, USA: Wiley-Interscience, 2006. ISBN: 9780471241959. Rabiner Lawrence R. and Schafer Ronald W. (2007), “Introduction to Digital Speech Processing”, Foundations and Trends® in Signal Processing: Vol. 1: No. 1–2, pp 1-194. Proakis John G., Salehi Masoud, Bauch Gerhard (2013). Contemporary Communication Systems Using MATLAB, 3rd ed. Stamford, CT, USA: Cengage Learning US, 2013.

The course is structured in lectures that treat course topics. Lectures introducing each topic are complemented by lectures in which the topic is analyzed as part of design and budget of a communication system through the combination of analytical derivation and software tools. Active participation by students to such lecture sis highly encouraged, and intended as a mean for them to verify their comprehension of course topics.