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Martin Vetterli is an expert in the field of signal processing, particularly known for his work in wavelets, filter banks applications, and inverse problems. His research often explores theories related to sampling theory and sparsity, focusing on innovative areas such as high-quality art rendering and sensor networks. He has been involved in various projects funded by distinguished organizations, including the Swiss National Science Foundation and the European Research Council, as well as industrial partnerships with notable companies like Qualcomm and Google. Vetterli has contributed significantly to the field through multiple publications in esteemed journals, presenting findings on image representation techniques and communication theories. His teaching endeavors encompass online education in digital signal processing, indicating a commitment to broader educational outreach. Throughout his esteemed career, he has been recognized with several prestigious awards from IEEE, highlighting his impact and contributions to signal processing and communications research.
École Polytechnique Fédérale de Lausanne • Lausanne, Switzerland
Held the position of Professor at EPFL, involved in various research and teaching activities concerning signal processing and communications.
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