Can we recover a complex signal from its Fourier magnitudes? More generally, given a set
of m measurements, y_k=\left| a _k^* x\right| yk= ak∗ x for k= 1, ..., mk= 1,…, m, is it possible …

In this overview article, we review the literature on design and analysis of recursive
algorithms for reconstructing a time sequence of sparse signals from compressive …

We survey optimization problems that involve the cardinality of variable vectors in
constraints or the objective function. We provide a unified viewpoint on the general problem …

The problem of recovering a signal from its Fourier magnitude is of paramount importance in
various fields of engineering and applied physics. Due to the absence of Fourier phase …

We investigate a compressive sensing framework in which the sensors introduce a distortion
to the measurements in the form of unknown gains. We focus on blind calibration, using …

The problem of signal recovery from its Fourier transform magnitude is of paramount
importance in various fields of engineering and has been around for more than 100 years …

Optical proximity correction (OPC) is an extensively used resolution enhancement technique
(RET) in optical lithography. To date, the computational efficiency has become a big issue …

Uplink data indication transmission (s) are received over a subband and over OFDM symbol
(s) from STA (s) in a wireless communication system. The received uplink data indication …

In compressive sensing, the basis pursuit algorithm aims to find the sparsest solution to an
underdetermined linear equation system. In this paper, we generalize basis pursuit to …

In signal processing, the functional relationship between the unknown parameters and
response variables extends to the nonlinear forms. A representative model is the quadratic …