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Surface ElectroMyoGraphy (sEMG) is a fundamental tool in medicine, rehabilitation, and prostethics but also made appearance on the consumer world with devices such as the Thalmic lab's MYO. Current state of the art transfers the whole sEMG signal but encounter problems when this signal has to be transferred wirelessly in real-time. To overcome limitations of the current state of the art we propose...
In this paper we take into account the rakeness approach in the design of Compressed Sensing (CS) based system, which allows, by means of the matching of some statistical properties of the CS sampling functions with statistical features of the input signal, to greatly increase system performance in terms of either a reduction of resources (hardware, energy, etc) required for the signal acquisition...
Compressive sensing (CS) is a new emerging approach in recent years, and is applied in acquisition of signals having a sparse or compressible representation in some basis. The CS literature has mostly focused on the problems involving 1-D signals and 2-D images. However, for hyperspectral image, compressive acquisition of this signal is complicated for its 3-D structures. In this paper, we consider...
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