Radio Map Estimation: A data-driven approach to spectrum cartography
Radio maps characterize quantities of interest in radio communication environments, such as the received signal strength and channel attenuation, at…
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Rethinking Bayesian Learning for Data Analysis: The art of prior and inference in sparsity-aware modeling
Sparse modeling for signal processing and machine learning, in general, has been at the focus of scientific research for over two decades. Among…
Read moreArtistic Text Style Transfer: An overview of state-of-the-art methods and datasets
Word art, which is text rendered with properly designed appealing artistic effects, has been a popular form of art throughout human history. Artistic…
Read moreInnovation Starts With Education: ICASSP 2019 Education Panel
The anniversary of a number of significant signal processing algorithms from the 1960s, including the least mean square algorithm and the Kalman…
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