Signal Processing Repository (SigPort) is an online archive of manuscripts, reports, theses, and supporting materials. Created and supported by the IEEE Signal Processing Society (SPS), SigPort collects technical material of interests to the broad signal processing community.
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To achieve real-time electrocardiography (ECG) telemonitoring, we need to overcome the scarce bandwidth. Compressed sensing (CS) emerges as...
Most existing work in designing sensing matrices for compressive recovery is based on optimizing some quality factor, such as mutual coherence, average...
We consider the sequential change-point detection problem of detecting changes that are characterized by a subspace structure. Such changes are frequent in high-dimensional streaming data altering the form of the...
Learning the dynamics of complex systems features a large
number of applications in data science. Graph-based modeling
and inference underpins the most prominent...
We consider the problem of jointly registering multiple point sets using rigid transforms. We propose a distributed algorithm based on consensus optimization for the least-squares formulation of this problem.
In big data applications, classical ensemble learning is typically infeasible on the raw input data and dimensionality reduction techniques are necessary.
SigPort hosts manuscripts, reports, theses, and supporting materials of interests to the broad signal processing community and provide contributors early and broad exposure.
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