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Spectral correlation function (SCF) is an important tool for analyzing cyclostationary signals. Only a few kinds of communication signals have analytic form for their SCF. This paper proposes a simple analytic expression for SCF of the well-known GMSK signal using super-Gaussian function. Numerical results show the validity of our approximation.
Detecting the presence of target subspace signals with unknown clutters is a well-known hard problem encountered in various signal processing applications. Traditional methods fails to solve this problem because prior knowledge of clutter subspace is required, which can not be obtained when target and clutter are intimately mixed. In this paper, we propose a novel subspace detector that can detect...
Feature selection in Fingerprint-based localization systems is of great importance, because of its capability to reduce the overhead in handling high- dimensional data while ensuring positioning accuracy. Several methods for such a task have been proposed, but they either do not consider the correlation between features, or propose an inefficient method to deal with the correlation. The study in this...
Various structures and configurations make frame to be a powerful tool in the domain of signal processing. Among its numerous configurations, the ones which have drawn much attention recently are Equiangular Tight Frames (ETFs) and Grassmannian Frames. These frames both have optimality in coherence, thus bring robustness and optimal performance in applications such as digital fingerprint, erasure...
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