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Circuiti ed Algoritmi per l'Elaborazione dei Segnali
Circuits and Algorithms for Digital Signal Processing
Stefano Squartini

Seat Ingegneria
A.A. 2015/2016
Credits 9
Hours 72
Period II
Language ENG

Prerequisites
Circuit Theory, Linear Algebra

Learning outcomes
Know and understand the fundamentals of Digital Signal Processing (DSP). Analyze and design circuits and discrete-time DSP algorithms and implement them on processors and DSP boards, with particular attention to applications of audio processing.

Program
Introduction to discrete-time circuits and signals. Time domain analysis. Frequency domain analysis. Sampling and reconstruction. Z-transform domain analysis. Introduction to multirate circuits and algorithms. Filter Banks IIR filter design. FIR filter design. Finite-precision implementations. Lattice Filters FFT and its applications. DCT and its applications Classical spectrum analysis, for stationary and non-stationary signals Algorithm implementation be means of the Matlab/Scilab programminng environment Real-Time Algorithm implementation on Digital Signal Processors

Development of the examination
LEARNING EVALUATION METHODS
The learning evaluation methodology consists in two tests: - a writing exam, consisting in 4 open questions on the topics discussed during the lectures and to be completed in 1 hour and 30 minutes - the presentation and the discussion of a SW project proposed by the teacher. The project can be developed also in groups of maximum two people. The student has 10 working days to fulfill the work and discuss it.

LEARNING EVALUATION CRITERIA
The student is required to show an adequate comprehension of the basic concepts of Digital Signal Processing and to be able to apply them in an autonomous way to the fulfillment of the SW project. The student is also asked to explain in a rigorous and synthetic way both the theoretical aspects and the technical report related to the SW project.

LEARNING MEASUREMENT CRITERIA
For each test, a score on the 18-30 scale is assigned, then the arithmetic average between the two scores is applied and the result is proposed as final score for official registration.

FINAL MARK ALLOCATION CRITERIA
To access the second test the student is required to have passed the first one with a score equal or superior to 16/30. The second test has to be completed by the two exam dates following the one in which the student has passed the first test. If the student dous not pass the second test or refuse the final score proposed by the teacher, he is asked to start the examination process from scratch. The maximum evaluation score is given when the student show a deep knowledge of the theoretical contents of the course and a remarkable ability in applying those concepts to practical problems. Honours are given to students who show to have a relevant scientifi rigour in addressing the faced issues and a certain brightness in exposing their answers to specific theoretical questions and in discussing the final project.

Recommended reading
1 - A.V. Oppenheim, R.W. Schafer, Discrete-Time Signal Processing, Prentice Hall, (3”ed.) 2 - R. Chassaing, D. Reay, Digital Signal Processing and Applications with the TMS320C6713 and TMS320C6416 DSK, Wiley and Sons, Second Edition, 2008 3 - Teacher’s m

Courses

• Ingegneria Elettronica (Corso di Laurea Triennale (DM 270/04))