Telescopes and imaging interferometers with sparsely filled apertures can be lighter weight and less expensive than conventional filled-aperture telescopes. However, their greatly reduced MTF's cause significant blurring and loss of contrast in the collected imagery. Image reconstruction algorithms can correct the blurring completely when the signal-to-noise ratio (SNR) is high, but only partia...

In this paper, we introduce an efficient interference alignment (IA) algorithm exploiting partially coordinated transmit precoding to improve the number of concurrent interference-free transmissions, i.e., the multiplexing gain, in multicell downlink. The proposed coordination model is such that each base-station simultaneously transmits to two users and each user is served by two base-stations...

Introduction For better delineation of neuronal architecture, higher spatial resolution is always desirable. Challenges in realization of high spatial resolution include but are not limited to long total scan time, low signal-to-noise ratio (SNR), and high sensitivity to T2* blurring, off-resonance, and motion-related artifacts. In the present work, the reduced field-of-view (rFOV) imaging appr...

We propose a semi-supervised, kinetic modeling based segmentation technique for molecular imaging applications. It is an iterative, self-learning algorithm based on uncertainty principles, designed to alleviate low signal-to-noise ratio (SNR) and partial volume effect (PVE) problems. Synthetic fluorodeoxyglucose (FDG) and simulated Raclopride dynamic positron emission tomography (dPET) brain im...

The "Polynomial Phase transform (PPT)", was presented in [l] as a tool for the estimation of the parameters of constant amplitude polynomial phase signals. Extensions of the algorithm have also been proposed in [2] to be able to deal with parameter estimation for multiple components and for time-varying amplitude. While the P P T is computationally efficient and almost statistically efficient a...

A novel type-II hybrid automatic repeat request (HARQ) algorithm using adaptive modulations and bit-interleaved coded modulation (BICM) is presented. The algorithm uses different optimized puncturing patterns for different transmissions of the same data packet. The proposed approach exploits mapping diversity through BICM with iterative decoding. The modulation order is changed in each transmis...

The push for higher recording densities has motivated the development of iterative errorcontrol codes of unprecedented power, whose large coding gains enable low error rates at very low SNR [1] [2]. In addition, the iterative decoding technique has been extended to turbo equalization, where the equalizer and the decoder iterate [3]. Consequently, timing recovery, which typically derives no bene...

In the present work, by applying known Bernstein polynomials and their advantageous properties, we establish an efficient iterative algorithm to approximate the numerical solution of fuzzy Fredholm integral equations of the second kind. The convergence of the proposed method is given and the numerical examples illustrate that the proposed iterative algorithm are ‎valid.‎

Multiband signal fusion technique is a practicable and efficient way to improve the range resolution of ISAR image. The classical fusion method estimates the poles of each subband signal by the root-MUSIC method, and some good results were get in several experiments. However, this method is fragile in noise for the proper poles could not easy to get in low signal to noise ratio (SNR). In order ...

he last decade has seen the development of iteratively decodable error-control codes of unprecedented power, whose large coding gains enable reliable communication at very low signal-to-noise ratio (SNR). A by-product of this trend is that timing recovery must be performed at an SNR lower than ever before. Conventional timing recovery ignores the presence of error-control coding and is thus doo...