Data acquisition and digital processing [SPHYM136]

Learning outcomes

The course presents the theoretical foundations and fundamental applications of signal processing and image analysis. It places special emphasis on topics that will develop the innovative spirit and creative focus needed to meet the challenges of the future.

Objectives

The course aims to expose the bases of the theory of the signal, in particular the mathematical description of the signals. This formal description makes it possible to highlight the various characteristics and properties of signals. The advanced theoretical elements make it possible to develop the principal tools of signal processing, tools which will be used in many technical and scientific fields.

Content

The following subjects will be studied: Signal acquisition, analog signal, analog-digital conversion, digital signals and systems, discrete Fourier transform, fast transform algorithm (FFT), correlation, convolution, RIF and RII filter synthesis, digital filtering, image processing (coding, histogram, unit transforms, filtering, enhancement and restoration, mathematical morphology, edge detection and segmentation, multi-resolution,..), the wavelet transform, an introduction to artificial intelligence and artificial neural networks.