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In this letter, we exploit the Cauchy-Gaussian mixture model to approximate the symmetric α-stable (SαS) distribution. An optimal mixture ratio that only depends on α is derived from minimizing the average approximation error. We then consider the signal detection with a linear Rake receiver and present an approximate expression for error performance. Furthermore, the performances of several typical...
Compressive-projection principal component analysis reconstructs vectors from random projections by recovering an approximation to the principal eigenvectors of the principal-component transform. A heuristic for the number of eigenvectors to approximate is developed to provide consistency with the Johnson-Lindenstrauss lemma and the restricted isometry property from compressed-sensing theory. The...
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