Courses - Signal Analysis

Lecturers: Bert den Brinker and Stef van Eijndhoven The course aims to present the fundamental topics of signal analysis showing the relevant links with system theory and time series analysis. The philosophy is to stress the system approach so that trainees are provided with the tools and techniques for understanding and analyzing both continuous-time and discrete-time linear systems. Special attention is paid to filter design, both continuous and discrete, and to wavelet theory. The course consists of lectures and an assignment. The duration of the lecture part is 9 weeks; each week covers two hours of lectures. The contents of the course are described in lecture notes with the following division: Classification of signals, energy and load-capacity Periodic signals, discrete spectrum Non-periodic signals, continuous spectrum Linear time invariant systems Electric circuits Ideal filters Z-transformation Sampling of time-continuous signals, interpolation of time discrete signals Discrete Fourier transformation, sampling in the frequency domain Time and frequency windows Systems in discrete time, digital filters, impulse response Filter design Fundamentals of wavelet theory The course is completed with an assignment from practice, related to filter design. This assignment will be carried out in teams for the Digital Signal Processing Group at Philips Research. The course is meant for all trainees and no specific background knowledge is required.

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