Course 011 Digital Signal Analysis Techniques: Time, Frequency, and Spatial Algorithms

Professor Gonzalo Seco-Granados and Professor José A. López-Salcedo are teaching this 3-day course that goes beyond available textbooks and extends these signal analysis tools to higher dimensions and multiple sensor channels.

Conventional tools for analyzing and extracting the feature content of signals are filters (time content), Fourier transforms (frequency content) and beamforming (spatial content). Alternative tools to these conventional techniques are able to produce signal analysis results with finer temporal detail and higher spectral and spatial resolution.