The COVID-19 pandemic has created many challenges that need immediate attention. Various epidemiological and deep learning models have been developed to predict the outbreak, but all limitations affect accuracy robustness of predictions. Our method aims at addressing these making earlier more accurate outbreak predictions by (1) using patients' EHR data from different counties states encode local disease status medical resource utilization condition; (2) considering demographic similarity...

Many real-world Internet of Things (IoT) systems contain various sensor devices. Operating the devices generates a large amount multivariate time series data, which reflects changing trends and physical environment provides data services for upstream applications. Given that quality IoT usually depends on accuracy integrity we must guarantee data's accuracy. The massive can be continuously monitored to infer normal abnormal behaviors through anomaly detection. Therefore, ensure stability...

A novel pseudo-noise resampling (PR) based unitary root-MUSIC algorithm for direction-of-arrival (DOA) estimation is derived in this letter. Our solution able to eliminate the abnormal DOA estimator called outlier and obtain an approximate outlier-free performance algorithm. In particular, we utilize a hypothesis test detect outlier. Meanwhile, PR process applied form bank corresponding root bank. We propose distance detection strategy which exploits information contained estimated help...

Direction-of-arrival (DOA) estimation is a problem of significance in many applications. In practice, due to the occurrence coherent signals and/or when number available snapshots small, it challenge find DOAs accurately. This revisited here through new enhanced principal-singular-vector utilization for modal analysis (EPUMA) DOA approach, which improves threshold performance by first generating (P+K) candidates K sources where P ≥ K, and then judiciously selecting them. The asymptotic...

The threshold voltage (V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TH</sub> ) instability of p-GaN/AlGaN/GaN HEMTs was investigated under forward gate stress. A unique bidirectional V shift (AV with the critical xmlns:xlink="http://www.w3.org/1999/xlink">G</sub> 6 observed. carrier transport mechanisms underlying AV were extensively through voltage-dependent, timeresolved, and temperature-dependentgate current. current is decomposed into...

Millimeter-wave (mmWave) systems use directional beams to support high-rate data communications. Small misalignment between the transmit and receive (e.g., due mobility) can result in a significant drop of received signal quality, especially line-of-sight communication channels. In this paper, we propose evaluate high-resolution angle tracking strategies for wideband mmWave with mobility. We custom design pairs auxiliary as beams, them capture variations, toward which steering directions are...

A new method for direction-of-arrival (DOA) estimation of coherent signals is devised in this paper. The coherency sources decorrelated by employing an existing algorithm which each row the sample covariance matrix can be used to form a full rank Toeplitz matrix. Based on joint diagonalization structure set matrices constructed from rows, cost function that does not require priori information source number designed. spatial spectrum then obtained where DOAs are estimated via 1-D search....

The 3GPP suggests to combine dual polarized (DP) antenna arrays with the double directional (DD) channel model for downlink estimation. This combination strikes a good balance between high-capacity communications and parsimonious modeling, also brings limited feedback schemes state information within reach---since such can be fully characterized by several key parameters. However, most existing estimation work under DD has not yet considered DP arrays, perhaps because of complex array...

Source number detection is a critical problem in array signal processing. Conventional model-driven methods e.g., Akaikes information criterion (AIC) and minimum description length (MDL), suffer from severe performance degradation when the of snapshots small or signal-to-noise ratio (SNR) low. In this paper, we exploit model-aided based deep neural network (DNN) to estimate source number. Specifically, first propose eigenvalue regression (ERNet) classification (ECNet) non-coherent sources,...

Target detection is an important problem in multiple-input multiple-output (MIMO) radar. Many existing target algorithms were proposed without taking into consideration the quantization error caused by analog-to-digital converters (ADCs). This paper addresses of for MIMO radar with one-bit ADCs and derives a Rao's test-based detector. The method has several appealing features: 1) it closed-form detector; 2) allows us to handle sign measurements straightforwardly; 3) there are approximations...

The threshold voltage (V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TH</sub> ) instability of a 650 V p-GaN gate AlGaN/GaN HEMTs and its underlying physical mechanism was investigated by forward stress. A uniquely bidirectional shift in the with critical xmlns:xlink="http://www.w3.org/1999/xlink">critical</sub> 6 observed device after static dynamic temperature- time-dependent leakage current revealed that occurrence electron-trapping...

The method of direction estimation (MODE) offers appealing advantages such as asymptotic efficiency with mild computational complexity and excellent performance in handling coherent signals, which are not shared by conventional subspace-based methods. However, the MODE employs additional assumption constraints on symmetry root polynomial coefficients, might cause severe degradation scenario low signal-to-noise ratio/small sample size, since any error will be enlarged twice due to symmetry....

A structured least squares (SLS)-based ESPRIT algorithm for direction-of-arrival (DOA) estimation of strictly second-order noncircular signals using a crossed array is devised in this paper. Unlike the conventional signals, which employs or total squares, proposed solution able to exploit overlapping structure subarray configurations efficiently solve shift-invariant equations (SIEs), ending up with SLS three-axis array. Moreover, an additional constraint requiring SIEs three linear...

It is interesting to determine the number of signals impinging upon a large array with small samples. We tackle this problem by using linear shrinkage coefficients signal and noise subspaces, ending up two coefficient-based detectors (SCDs) for source enumeration. proved that are asymptotically Gaussian distributed as antennas samples tend infinity at same rate. Moreover, almost surely converge one while less than m,n→,∞ m/n→c.With these properties, threshold-like heuristic SCD algorithms...

One-dimensional (1-D) and two-dimensional (2-D) frequency estimation for a single complex sinusoid in white Gaussian noise is classic signal processing problem with numerous applications. It revisited here through new unitary principal-singular-vector utilization modal analysis (PUMA) approach, which realized terms of real-valued computations. The 2-D PUMA first formulated as an iteratively weighted least squares optimization problem. Recognizing that only one iteration sufficient when...

In this letter, a manifold reconstruction based ESPRIT algorithm is devised for direction-of-arrival (DOA) estimation. Unlike the standard approach, proposed method employs two smaller overlapping subarrays to construct rotational invariance equation, which then used recover array matrix. This way, DOA estimation can be split into K single-source problems, where each estimated by minimizing nonlinear least squares fitting criterion that solved via computationally efficient Newton's method....

Multi-user millimeter wave (mmWave) massive multi-input multi-output (MIMO) is a promising technology for the next generation mobile communication systems. However, there are still unsolved problems before such commercial MIMO networks rolled out. One main issue hardware cost and power consumption which grow significantly as number of radio frequency (RF) components increases. To tackle this issue, we consider to deploy one-bit analog-to-digital converters (ADCs) digital-to-analog (DACs) at...

Phase retrieval has been mainly considered in the presence of Gaussian noise. However, performance algorithms proposed under noise model severely degrades when grossly corrupted data, i.e., outliers, exist. This paper investigates techniques for phase heavy-tailed -- which is a better situations where outliers An $\ell_p$-norm ($0<p<2$) based estimator fending against such noise, and two-block inexact alternating optimization as algorithmic framework to tackle resulting problem. Two specific...

We consider downlink (DL) channel estimation for frequency division duplex based massive MIMO systems under the multipath model. Our goal is to provide fast and accurate from a small amount of DL training overhead. Prior art tackles this problem using compressive sensing or classic array processing techniques (e.g., ESPRIT MUSIC). However, these methods have challenges in some scenarios, e.g., when number paths greater than receive antennas. Tensor factorization can also be used handle such...

Harmonic retrieval (HR) is a problem of significance with numerous applications. Many existing algorithms are explicitly or implicitly developed under Gaussian noise assumption, which, however, not robust against non-Gaussian such as impulsive outliers. In this paper, by employing the l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> -fitting criterion and block successive upper-bound minimization (BSUM) technique, variant classical...