Tracking a time-varying number of targets is a challenging dynamic state estimation problem whose complexity is intensified under low signal-to-noise ratio (SNR) or high clutter conditions. This is important, for example, when tracking multiple, closely spaced targets moving in the same direction such as a convoy of low observable vehicles moving through a forest or multiple targets moving in a...

we study the problem of reconstructing binary images from four projections data in a fuzzy environment. given the uncertainly projections,w e want to find a binary image that respects as best as possible these projections. we provide an iterative algorithm based on fuzzy integer programming and linear membership functions.

The paper proposes a joint blind iterative Self-Interference (SI) cancellation, propagation channel estimation and decoding algorithm in Full-Duplex (FD) transmissions via feedback of estimates decoded messages combined with the process Digital Cancellation (DSIC). Different from conventional algorithm, proposed simultaneously self-interference channels decodes each iteration 5G Quasi-Cyclic Lo...

This study investigates the analog feedback communication system (AFCS) architecture considering Rayleigh fading channel model and receive diversity maximum ratio combining (MRC). employs a power-efficient transmitting unit, an estimator at receiver side iterative algorithm that minimizes mean square error (MSE). Using channel, estimated received sample is fed back to transmitter. The performan...

Objective To describe the quantitative image quality and histogram-based evaluation of an iterative reconstruction (IR) algorithm in chest computed tomography (CT) scans at low-to-ultralow CT radiation dose levels. Materials and Methods In an adult anthropomorphic phantom, chest CT scans were performed with 128-section dual-source CT at 70, 80, 100, 120, and 140 kVp, and the reference (3.4 mG...

conclusion safire reconstruction provided better coronary image quality and displayed the number, morphology, and surrounding lumen of calcium plaques more accurately than traditional fbp reconstruction, with safire3 achieving the best results. results the subjective ratings of image quality using safire1–safire5 reconstructions were significantly higher than those using fbp, with safire3 achie...

The purpose of this study was to compare the image noise-reducing abilities of iterative model reconstruction (IMR) with those of traditional filtered back projection (FBP) and statistical iterative reconstruction (IR) in abdominal computed tomography (CT) imagesThis institutional review board-approved retrospective study enrolled 103 patients; informed consent was waived. Urinary bladder (n = ...

‎Our contribution in this paper is to propose an iterative algorithm which does not require prior knowledge of operator norm and prove a strong convergence theorem for approximating a solution of split equality fixed point problem for quasi-nonexpansive mappings in a real Hilbert space‎. ‎So many have used algorithms involving the operator norm for solving split equality fixed point problem‎, ‎...

This paper presents a new approach to single-channel speech enhancement involving both noise and channel distortion (i.e., convolutional noise). The approach is based on finding longest matching segments (LMS) from a corpus of clean, wideband speech. The approach adds three novel developments to our previous LMS research. First, we address the problem of channel distortion as well as additive n...

This paper presents an iterative blind channel estimation algorithm that exploits the parity check equations of a channel code. While with conventional pilots prior data knowledge is used to estimate the channel, the idea here is to exploit prior knowledge of the parity check equations of the code. Furthermore, if an asymmetric code is used, the inherent phase ambiguity of blind systems is avoi...