This paper presents a new technic to improve resolution and direction of arrival (DOA) estimation of two closed source, in array processing, when only few samples of received signal are available. In these conditions, the detection of sources (targets) is more arduous, and even breaks down. To overcome these problems, a new algorithm is proposed. It combines spatial smooth method to widen the s...

Frequency domain linear prediction (FDLP) is a technique for auto-regressive (AR) modeling of Hilbert envelopes of the signal. The model is derived by the application of linear prediction on the discrete cosine transform (DCT) of the signal. In this paper, we propose modifications of the basic FDLP approach for deriving high resolution envelopes. We determine various factors which affect tempor...

In this paper we aim to tackle the problem of reconstructing a high-resolution image from a single low-resolution input image, known as single image super-resolution. In the literature, sparse representation has been used to address this problem, where it is assumed that both low-resolution and high-resolution images share the same sparse representation over a pair of coupled jointly trained di...

INTRODUCTION Effective cartilage imaging and whole organ joint assessment requires both high isotropic resolution and fat suppression or separation. SSFP lends itself to this task as it rapidly creates high signal-to-noise ratio (SNR) and T2-like contrast with bright fluid signal. However, SSFP also produces bright fat signal which may interfere with visualization of the critical cartilage/bone...

General idea of the super-resolution method based on the signal-spectrum extrapolation beyond transmission-channel band has been presented. Main limitations of former realizations of the method have been discussed. A new realization procedure of the method, removing those limitations, has been proposed. It consists in signal fragmentation before transmission through a low-pass channel. Results ...

Single-molecule localization techniques are restricted by long acquisition and computational times, or the need of special fluorophores or biologically toxic photochemical environments. Here we propose a statistical super-resolution technique of wide-field fluorescence microscopy we call the multiple signal classification algorithm which has several advantages. It provides resolution down to at...

Recent advances in convex optimization have led to super-resolution algorithms that provide exact frequency localization in multitone signals from limited time-domain samples. Such localization is accomplished by minimizing a certain atomic norm, which can be implemented in a semidefinite program. In this work, we consider the identification of multiband signals, which are comprised of multiple...

a r t i c l e i n f o a b s t r a c t Article history: Available online xxxx Keywords: High resolution Ranging method Low-rate random sampling Compressed sensing Sparse representation In this paper, we propose a low-rate high-resolution ranging method for UWB (up to several GHz of sampling rate) ranging system. It exploits compressed sensing (CS) theory and a parallel sampling ADCs structure ba...

Background Real-time blood flow velocity quantification requires fast acquisition time and both high spatial and temporal resolution in order to capture clinically relevant features. Multi-coil parallel imaging techniques trade fast realtime cine acquisition with high temporal resolution for lower signal quality. Methods for increasing signal-tonoise ratio (SNR) will allow higher acceleration r...