In this paper, we present an approach that can be used for reconstruction of compressively sensed complex-valued THz data: It is based on applying iterative ...

Reconstruct the compressively sensed complex-valued terahertz data through BFGS method · Wavefront Sensing and Correction via Compressive Sensing and Advanced ...

We address the complex-valued CS reconstruction problem by imposing sparse constraints on both the real and imaginary parts of the MMW image, which has been ...

In this paper, we present a new algorithm to reconstruct the compressively sensed complex-valued terahertz data by solving a ℓ1-norm minimization problem.

Compressed sensing (CS) is a recently proposed technique that allows the reconstruction of a signal sampled in violation of the traditional Nyquist ...

We describe a novel, high-speed pulsed terahertz (THz) Fourier imaging system based on compressed sensing (CS), a new signal processing theory.

In this paper, we propose an effective compressive sensing algorithm based on Gaussian entropy for complex-data.

Abstract. We demonstrate a form of near-field terahertz (THz) imaging that is compatible with compressed sensing algorithms. By spatially photomodulating ...

In reconstructing complex signals, many existing methods apply regularization on the magnitude only. We show that by adding control on the phase, ...

Abstract. In this paper, we propose an effective compressive sensing algorithm based on. Gaussian entropy for complex-data. Compared with the traditional ...