Learn More
Reproducible research results become more and more an important issue as systems under investigation are growing permanently in complexity, and it becomes thus almost impossible to judge the accuracy of research results merely on the bare paper presentation. The precise definition of reproducibility varies across disciplines, but it is often closely related(More)
Seizures are often the first sign of neurological disease or dysfunction in the newborn. However, their clinical manifestation is often subtle, which tends to hinder their diagnosis at the earliest possible time. This represents an undesirable situation since the failure to quickly and accurately diagnose seizure can lead to longer-term brain injury or even(More)
We consider the problem of source number estimation in the presence of unknown spatially nonuniform noise. Successive array element suppression is applied to isolate the contribution of the noise powers and a likelihood function is derived. When it is combined with the appropriately defined penalty function, an MDL-like criterion is defined. Performance of(More)
High resolution through-the-wall radar imaging (TTWRI) demands wideband signals and large array apertures. Thus a vast amount of measurements is needed for a detailed reconstruction of the scene of interest. For practical TTWRI systems it is imperative to reduce the number of samples to cut down on hardware cost and/or acquisition time. This can be achieved(More)
Multipath propagation can create ghost targets that severely affect the reconstruction quality of through-the-wall radar images. We propose a compressive sensing (CS) based reconstruction method, which inverts a specular multipath model through exploitation of the structured sparsity in the scene. This allows suppression of the ghost targets and increased(More)