Beamforming is an essential step in ultrasound image reconstruction that can alter both image quality and framerate. Adaptive methods estimate a set of data-dependent apodization weights among which Minimum Variance Beamforming (MVB) is one of the ...

In the recent years, multiple pedestrian tracking (MPT) has been one of the most important components in a wide range of applications in computer vision, such as video surveillance, traffic monitoring, and sports analysis, to name a few. In these ...

• The paper addresses the gap of developing RUL models based on hybrid deep neural network.

Aging critical infrastructures and valuable machineries together with recent catastrophic incidents such as the collapse of Morandi bridge calls for an urgent quest to design advanced and innovative data-driven solutions and ...

The paper proposes a novel performance guaranteed sampled-data event-triggered consensus (PSEC) algorithm for linear multi-agent systems configured as directed networks. To reduce information exchanges and preserve communication ...

The paper proposes a distributed framework for collaborative, event-triggered, average consensus, sampled data (CEASE) algorithms for undirected networked multi-agent systems with two classes of performance guarantees. Referred to as the E-CEASE algorithm,...

This paper proposes a distributed guaranteed-performance event-triggered average consensus (GP-ETAC) algorithm for multi-agent/sensor networks. The proposed GP-ETAC approach is distributed and event-triggered in the sense that the agents selectively limit ...

This paper proposes a robust distributed event-triggered approach for consensus in linear multi-agent systems (MAS) with uncertain network topologies. To achieve consensus, each agent transmits its information only when a certain event-triggering ...

At first, we derive the theoretical SRL expressions for the TRMIMO and conventional MIMO radar systems.Contrary to existing works, we take into account all the noise terms and particularly the required noise whitening process for the exact SRL formula ...

Ultrasound elastography involves imaging tissue while it undergoes deformation and inferring its mechanical properties from the deformation pattern. The initial deformation in the tissue is typically induced through an external mechanical force, for ...

Based on the theory of linear matrix inequalities (LMI), this paper proposes an event-based distributed consensus algorithm for linear multi-agent/sensor networks that are heterogeneous. The proposed scheme is event-based in the sense that each agent ...

The paper proposes an on-line distributed implementation of the particle filter (DPF) for applications, where the sensing and consensus time scales are the same. We are motivated by state estimation problems in large, geographically-distributed agent/...

The paper considers the problem of dynamic sensor scheduling for non-linear tracking problems in distributed sensor/agent networks (AN/SN), where channel limitations restrict how many sensors can simultaneously participate in the estimation mechanism. ...

Different centralized approaches such as least-squares (LS) and particle filtering (PF) algorithms have been developed to localize an acoustic source by using a distributed acoustic vector sensor (AVS) array. However, such algorithms are either not ...

A constrained sufficient statistic (CSS)-based distributed particle filter (CSS/DPF) implementation is proposed for nonlinear bearing-only and joint bearing/range tracking applications in sensor networks. The CSS/DPF runs localized particle filters at ...

The posterior Cramer Rao lower bound (PCRLB) has recently been proposed as an effective selection criteria for sensor resource management in large, geographically distributed sensor networks. Existing algorithms (in particular the decentralized ...

Motivated by non-linear, non-Gaussian, distributed multi-sensor/agent navigation and tracking applications, we propose a multi-rate consensus/fusion based framework for distributed implementation of the particle filter (CF/DPF). The CF/DPF framework is ...

Source localization especially direction-of-arrival (DOA) estimation using sensor arrays is of considerable interest in both classical array signal processing and radar applications. Most radar systems are designed under the line-of-sight (LOS) ...

In this paper, we describe a bandwidth adaptable, low bit-rate video coding scheme, referred to as scalable, noncausal prediction with vector quantization and conditional replenishment (SNP/VQR). Practical implementations of SNP/VQR are derived by ...

Block-banded matrices generalize banded matrices. We study the properties of positive definite full matrices P whose inverses A are L-block-banded. We show that, for such matrices, the blocks in the L-block band of P completely determine P; namely, all ...

Existing Discrete Fourier transform (DFT)-based algorithms for identifying protein coding regions in DNA sequences[9, 2, 3, 7] exploit the empirical observation that the spectrum of protein coding regions of length N nucleotides has a peak at frequency ...