A unified view of the area of sparse signal processing is presented in tutorial form by
bringing together various fields in which the property of sparsity has been successfully …

Proton MR spectroscopic imaging (MRSI) of human cerebral cortex is complicated by the
presence of an intense signal from subcutaneous lipids, which, if not suppressed before …

An algorithm is developed to define, from the data samples themselves, a frequency-
weighted norm to use in minimum-weighted-norm extrapolation. The iterative procedure …

Analyze the performance of an iterative algorithm, similar to the discrete Papoulis-Gerchberg
algorithm, and which can be used to recover missing samples in finite-length records of …

In this article, we address the problem of estimating the location of gas leak sources using
sparse unreliable spatio-temporal chemical sensor data. We pose the task of estimating the …

The linear canonical transform (LCT) has been shown to be a powerful analyzing tool in
signal processing. Many results of this transform are already known, including bandlimited …

The iterative algorithms of Papoulis-Gerchberg and Cadzow are well-known algorithms for
solving the band-limited extrapolation problem. These algorithms, however, are usually …

In this paper, a regularized spectral estimation formula and a regularized iterative algorithm
for band-limited extrapolation are presented. The ill-posedness is taken into account. First …

The ill-posedness of the extrapolation problem in the presence of noise is considered. A
stable algorithm is constructed by solving a Fredholm equation based on a regularization …

A constant-envelope OFDM signal offers significant performance advantages on both
transmit and receive. Our method for constructing such a signal using complementary …