CORDIS Project
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This project focuses on improving signal processing by developing new methods for reconstructing partially observed signals. It aims to utilize sparse sampling techniques to enhance performance in applications like sensor networks and brain signal analysis.
The problem of reconstructing or estimating partially observed orsampled signals is animportant one that finds applicationin many areas of signal processing and communications.
Traditionalacquisition and reconstruction approaches are heavily influences byclassical Shannon sampling theory which gives an exact samplingand interpolation formula for bandlimited signals.
Recently, theemerging theory of sparse sampling has challenged the waywe think about signal acquisition and has demonstrated that,…
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