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Autor Título [ Tipo(Desc)] Año
Filtros: Clave es compressed sensing  [Elimina todos los filtros]
Journal Article
D. Romero, López-Valcarce, R., y Leus, G., «Compression Limits for Random Vectors with Linearly Parameterized Second-Order Statistics», IEEE Trans. Information Theory, vol. 61, n.º 3, pp. 1410-1425, 2015.Icono PDF TIT2394784.pdf (429.71 KB)
D. Romero, Ariananda, D. D., Tian, Z., y Leus, G., «Compressive Covariance Sensing: Structure-Based Compressive Sensing Beyond Sparsity», IEEE Signal Processing Magazine, vol. 33, n.º 1, p. 78--93, 2016.Icono PDF romero_SPM.pdf (408.02 KB)
C. Rusu y González-Prelcic, N., «Designing incoherent frames through convex techniques for optimized compressed sensing», IEEE Transactions on Signal Processing, vol. 64, n.º 9, pp. 2334-2344, 2016.
C. Rusu, González-Prelcic, N., y Heath, Jr., R. W., «Fast orthonormal sparsifying transforms based on Householder reflectors», IEEE Transactions on Signal Processing, vol. 64, n.º 24, pp. 6589-6599, 2016.
D. Romero, Kim, S. - J., Giannakis, G., y López-Valcarce, R., «Learning Power Spectrum Maps from Quantized Power Measurements», IEEE Transactions on Signal Processing, vol. 65, n.º 10, pp. 2547-2560, 2017.Icono PDF TSP2666775.pdf (1.11 MB)
D. Romero y Leus, G., «Wideband Spectrum Sensing From Compressed Measurements Using Spectral Prior Information», IEEE Trans. Signal Process., vol. 61, pp. 6232-6246, 2013.