http://www.ece.umn.edu/~nikos/info_theory_May2001.pdf WebFeb 23, 2024 · Learned iterative shrinkage thresholding algorithm (LISTA), which adopts deep learning techniques to optimize algorithm parameters from labeled training data, can be successfully applied to small-scale multidimensional harmonic retrieval (MHR) problems. However, LISTA becomes computationally demanding for large-scale MHR …

Compressive Two-Dimensional Harmonic Retrieval via …

WebAbstract: Two-dimensional (2-D) and, more generally, multidimensional harmonic retrieval is of interest in a variety of applications, including transmitter localization and joint time … WebINTRODUCTION Constant modulus two-dimensional (2-D) and more generally multi- dimensional harmonic retrieval (HR) has a wide range of applications, e.g., in sensor array processing [9], wireless communication [4], and radar [2], [5]. An important issue is to determine the maximum number of harmonics that can be resolved for a given sample size. schedule 4 ita 1967

Almost-sure identifiability of multidimensional harmonic retrieval ...

WebMultidimensional Harmonic Retrieval Xiangqian Liu and Nicholas D. Sidiropoulos Abstract— In a recent paper by Jiang et al. in this Transactions, it has been shown that … Weblation of the 2-D harmonic retrieval problem wherein the frequencies are assumed to occur at the intersections of certain unknown grid lines in the 2-D frequency domain, and provides sufficient conditions for identifiability. In the case of a single realization of the 2-D harmonic mixture, the conditions in [10] require that one has ... WebHarmonic mean is a type of average generally used for numbers that represent a rate or ratio such as the precision and the recall in information retrieval. The harmonic mean can be described as the reciprocal of the arithmetic mean of the reciprocals of the data. This can be expressed mathematically as schedule 4 land transfer regulations 2002