نتایج جستجو برای: compressed sensing
تعداد نتایج: 144118 فیلتر نتایج به سال:
Pattern-based Matrix-size Optimization Algorithm for Compressive Sensing in Real-world Body Sensor Networks
Inverse Synthetic Aperture Radar (ISAR) images are often used for target classification and recognition applications. However, conventional 2D images do not provide the height information about the scattering centers. In this paper, an interferometric ISAR imaging method based on compressive sensing (CS) is proposed that is able to estimate the scatterering centres heights. The interferometric ...
The field of compressed sensing has shown that a sparse but otherwise arbitrary vector can be recovered exactly from a small number of randomly constructed linear projections (or samples). The question addressed in this paper is whether an even smaller number of samples is sufficient when there exists prior knowledge about the distribution of the unknown vector, or when only partial recovery is...
A new method presented for design of incoherent dictionaries.
In this short note, we propose another demonstration of the recovery of sparse signals in Compressed Sensing when their support is partially known. In particular, without very surprising conclusion, this paper extends the results presented recently in [VL09] to the cases of compressible signals and noisy measurements by slightly adapting the proof developed in [Can08].
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Construction on the measurement matrix A is a central problem in compressed sensing. Although using random matrices is proven optimal and successful in both theory and applications. A deterministic construction on the measurement matrix is still very important and interesting. In fact, it is still an open problem proposed by T. Tao. In this paper, we shall provide a new deterministic constructi...
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