MM Hyder, K Mahata - 2010 IEEE International Conference on …, 2010 - ieeexplore.ieee.org
We present a frequency estimation method based on a sparse representation of irregular samples with an overcomplete basis. We enforce sparsity by imposing penalties based on …
J Huang, W Hu, M Ghogho, Q Xin, X Du… - Advances in space …, 2012 - Elsevier
The increase in space debris can seriously threaten regular activities in the Low Earth Orbit (LEO) environment. Therefore, it is necessary to develop robust, efficient and reliable …
X Xu, F He - Unconventional Imaging and Wavefront Sensing …, 2014 - spiedigitallibrary.org
A novel technique is proposed for ultra-wideband imagery of space objects from distributed multi-band radar data. The complex exponential (CE) model is used for representation of …
The problem of sparse signal recovery can be formulated as a problem of finding a sparse solution X∈[special characters omitted] to an underdetermined system of equations [special …
A generalized Papoulis-Gerchberg (PG) algorithm for signal extrapolation based on the wavelet representation has been recently proposed by Xia, Kuo and Zhang. In this research …
SD Cabrera, T Boonsri, AE Brito - Sensor Array and …, 2002 - ieeexplore.ieee.org
Methods for best basis selection (BBS) can be used to address the problem of harmonic retrieval using a large basis of harmonically related complex sinusoids with an iterative …
SD Cabrera, JT Yang, CH Chi - Fifth ASSP Workshop on …, 1990 - ieeexplore.ieee.org
A series of algorithms are described in order of increasing complexity and improved performance. The original scheme of Papoulis and Chamzas (1979) serves as a model for …