This paper presents a method to derate the dependency on the decimation factor, $M$, of the pass-band droop inherent to $N$-th ordered comb decimators. It is achieved by cascading a symmetric 3-tap FIR filter in the integral stage of the corresponding comb decimator and choosing the coefficients only as a function of order $N$. The proposed derating method derived from the conventional comb decimator can be readily applied to any recently developed comb decimator and droop-compensation filter design method.
This article presents the development, implementation, and validation of a loss-optimized and circuit parameter-sensitive TPS modulation scheme for a dual-active-bridge DC-DC converter. The proposed approach dynamically adjusts control parameters based on circuit parameters estimated using a physics-informed neural network.
This paper introduces in detail the effective method of comprehensive target judgment by using radar RA map and point cloud map. Different output of radar can effectively judge the road boundary of target and the relative coordinates of target, avoid the error of output caused by excessive processing information, and greatly improve the processing efficiency of DBSCAN of the measured target.
This paper proposes a framework for simultaneous dimensionality reduction and regression in the presence of outliers in data by applying low-rank and sparse matrix decomposition. For multivariate data corrupted with outliers, it is generally hard to estimate the true low dimensional manifold from corrupted data. The objective of the proposed framework is to find a robust estimate of the low dimensional space of data to reliably perform regression. The effectiveness of the proposed algorithm is demonstrated experimentally for simultaneous regression and dimensionality reduction in the presence of outliers in data.
In this paper presented hardware and software for shield PiEEG for reading signals through the families of single-board computers - RaspberryPi, OrangePi, BananaPi, etc. For the most part, the paper provides technical information on how to implement this device. This device is designed to be familiar with neuroscience and is one of the easiest ways to get started with EEG measurements.
The objective of the work is to enhance the signal-to-interference-plus-noise ratio (SINR) coverage probability in UAV-assisted 6G wireless networks. Therefore, the work analyzed and compared the coverage probability of conventional and IRS-assisted UAV communications models. The research obtained that the employment of IRS in UAV-assisted wireless networks enhances the SINR coverage probability significantly. Moreover, the installment of IRS in UAV networks reduces the energy consumption of the network.
Hajar Abedi, Ahmad Ansariyan, Plinio P Morita
et al.
In this paper, leveraging AI, cloud computing and radar technology, we create intelligent sensing that enables smarter applications to improve people's daily lives.
This paper presents a 125$μ$W, area efficient (0.042mm2) 81dB DR, 8kS/s current sensing ADC in 45nm CMOS capable of sensing sub-pA currents. Our approach combines the transimpedance amplifier (TIA) and ADC into a unified structure by folding a low-noise capacitive TIA into the first stage integrator of a 2nd order Delta-Sigma modulator. The dominant DAC feedback noise is mitigated by utilizing current scaling via slope modification by an integrator and differentiator pair.
This paper presents a complex permittivity measurement method for low-dispersive materials as a function of frequency. The introduced method relies only on transmitted power signals which are collected using a spectrum analyzer/power meter, removing the need for phase measurements and a vector network analyzer. This method provides a very good accuracy along with easy and inexpensive permittivity measurements.
This study puts forward a generalization of the short-time Fourier-based Synchrosqueezing Transform using a new local estimate of instantaneous frequency. Such a technique enables not only to achieve a highly concentrated time-frequency representation for a wide variety of AM-FM multicomponent signals but also to reconstruct their modes with a high accuracy. Numerical investigation on synthetic and gravitational-wave signals shows the efficiency of this new approach.
Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou
This paper presents the analytic framework for evaluating the ergodic capacity (EC) of the reconfigurable intelligent surface (RIS) assisted systems. Moreover, high-signal-to-noise-ratio and high-number of reflection units (RUs) approximations for the EC are provided. Finally, the special case in which the RIS is equipped with a single RU is investigated. Our analysis is verified through respective Monte Carlo simulations, which highlight the accuracy of the proposed framework.
The time-domain analysis of pulse width modulated (PWM) single-phase inverters is presented for different load circuits. It is demonstrated that this analysis can be reduced to the solution of linear simultaneous algebraic equations with two diagonal matrices. Analytical solutions of such equations are easily found which leads to the explicit expressions for the output voltages and currents in terms of switching time-instants. This technique is presented for second and third order circuits, however it can be used in principle for any higher-order linear load circuit subject to pulse width modulated voltages.
In this paper the use of adaptive filtering techniques to obtain better peak sidelobe suppression and integrated sidelobe energy will be discussed with regard to weather radars and obtaining better sensitivity with this technique. The performance of these new coefficient sets obtained with adaptive filter (using RLS optimization) will be discussed and presented. They will also be compared with the existing techniques and their peak sidelobe levels.
In this paper, the displacement of the phase centers of multi-mode antennas is investigated. A mathematical approach is applied in order to calculate the positions of the phase center for each mode. Using electric far field samples obtained from electromagnetic field simulation data, the coordinates of the shifted positions of the phase center relative to the physical center of the antenna are determined for each mode. Numerical results show the dependency of the phase centers of an antenna prototype as a function of the considered angle of observation.
This purpose of this paper is to locate a single localized source from three range measurements with multiplicative noises. Although some minimization approaches for additive noise have been found, studies on the existence of solutions are rare. We analyzed a situation with one or two solutions for the same multiplicative noise at three measurement sensors. A strategy for finding the best localized source when there are no solutions for the same multiplicative noise is suggested that involves adjusting the multiplicative noise ratio. The numerical simulation is conducted for three randomly generated measurement locations and their distances to the source.
With the recent interest in installing building energy management systems, the availability of data enables calibration of building energy models. This study compares calibration on eight different temporal resolutions and contrasts the benefits and drawbacks of each. While calibrating heating and cooling energy consumption shows less sensitivity to the temporal resolution, the accuracy of electricity energy consumption and domestic hot water greatly varies depending on the temporal resolution.
The recent work `A unified Bayesian inference framework for generalized linear models' \cite{meng1} shows that the GLM can be solved via iterating between the standard linear module (SLM) (running with standard Bayesian algorithm) and the minimum mean squared error (MMSE) module. The proposed framework utilizes expectation propagation and corresponds to the sum-product version \cite{Rangan1}. While in \cite{Rangan1}, a max-sum GAMP is also proposed. What is their intrinsic relationship? This comment aims to answer this.
In this letter, a novel run-length limited (RLL) code is reported. In addition to providing a strict DC-balance and other relevant features for visible light communication (VLC) applications, the proposed 5B10B code presents enhanced error correction capabilities. Theoretical and simulation results show that the proposed code outperforms its standard enforced counterparts in terms of bit error ratio while preserving low-complexity requirements.
Aixia Xu, James R. Johnson, Shiowshuh Sheen
et al.
ABSTRACT Neonatal meningitis-causing Escherichia coli isolates (SP-4, SP-5, SP-13, SP-46, and SP-65) were recovered between 1989 and 1997 from infants in the Netherlands. Here, we report the draft genome sequences of these five E. coli isolates, which are currently being used to validate food safety processing technologies.
We present and study a scheme for lossless causal compression of periodic real-valued signals. In particular, our technique compresses a vector-valued signal to a scalar-valued signal by mixing it with another periodic signal. The conditions for being able to reconstruct the original signal then amount to certain non-resonances between the periods of the two signals. The proposed compression scheme turns out to implicitly be inherent to communication networks with round-robin scheduling and digital photography with active pixel sensors.