Introduction to Signal Processing (5cr)

Objectives

After completing the course, the student can:recognize the fundamental concepts of signal processing, discuss them and solve problems related to themmaster the basics of Matlab and has obtained the basic calculation routine needed for more advanced coursesanalyze the most important properties of a linear filter through its transfer functiondesign an FIR filter both by Matlab and by hand using the window design methodcalculate the discrete Fourier transform of a sequence both by the matrix method and the FFT algorithmdesign a linear classifier both by hand and with Matlab.

Content

Core contentBasics of digital signal processing: sampling theorem, discrete signals and their properties, digital linear systems and their properties and convolution operator.Analysis of linear systems: discrete Fourier transform, FFT algorithm, z-transform, transfer function and frequency response.Synthesis of linear systems: Designing FIR filters using the window design method.Multirate DSP: decimation and Interpolation operations.Basics of machine learning: nearest neighbor and linear classifiers.Example applications and visiting lecture from the university/industry.Complementary knowledgeFourier transform, Fourier series and Discrete-time Fourier transformDesign of IIR filtersApplications of multirate in A/D and D/A conversion.Specialist knowledgeParks-McClellan algorithm

Prerequisites

Knowledge corresponding to compulsory prerequisites obtained in other means is also valid.