The goal of this course is twofold: (1) to introduce physiological basis, signal acquisition solutions (sensors) and state-of-the-art signal processing techniques, and (2) to propose concrete examples of applications for vital sign monitoring and diagnosis ...
Building up on the basic concepts of sampling, filtering and Fourier transforms, we address stochastic modeling, spectral analysis, estimation and prediction, classification, and adaptive filtering, with an application oriented approach and hands-on numeri ...
This course aims to provide theoretical fundamentals in flow measurement science, and advanced knowledge regarding measurement methods, tools and instrumentation applied to experimental hydraulics, industrial and environmental flows and water engineering a ...
Students learn digital signal processing theory, including discrete time, Fourier analysis, filter design, adaptive filtering, sampling, interpolation and quantization; they are introduced to image processing and data communication system design. ...
Provide civil engineers signal processing tools and bases in order to process and interpret monitoring datasets
and give a practical introduction to matlab. ...