M2NuFFT-A computationally efficient suboptimal power spectrum estimator for fast exploration of nonuniformly sampled time series [0.03%]
一种用于非均匀采样时间序列快速探索的计算效率高的次优功率光谱估计器M2NuFFT
Jie Cui,Benjamin H Brinkmann,Gregory A Worrell
Jie Cui
Nonuniformly sampled signals are prevalent in real-world applications. However, estimating their power spectra from finite samples poses a significant challenge. The optimal solution-Generalized Prolate Spheroidal Sequence (GPSS) by solving...
Parameter estimation of the COVID-19 transmission model using an improved quantum-behaved particle swarm optimization algorithm [0.03%]
基于改进量子行为粒子群优化算法的COVID-19传播模型参数估计
Baoshan Ma,Jishuang Qi,Yiming Wu et al.
Baoshan Ma et al.
The outbreak of coronavirus disease (COVID-19) and its accompanying pandemic have created an unprecedented challenge worldwide. Parametric modeling and analyses of the COVID-19 play a critical role in providing vital information about the c...
Unknown uncertainties in the COVID-19 pandemic: Multi-dimensional identification and mathematical modelling for the analysis and estimation of the casualties [0.03%]
新冠疫情的未知不确定性：多维度识别与数学建模分析估算伤亡人数
Onder Tutsoy,Kemal Balikci,Naime Filiz Ozdil
Onder Tutsoy
Insights about the dominant dynamics, coupled structures and the unknown uncertainties of the pandemic diseases play an important role in determining the future characteristics of the pandemic diseases. To enhance the prediction capabilitie...
Stochastic filtering based transmissibility estimation of novel coronavirus [0.03%]
基于随机滤波的新型冠状病毒传播能力估计
Rahul Bansal,Amit Kumar,Amit Kumar Singh et al.
Rahul Bansal et al.
In this study, the transmissibility estimation of novel coronavirus (COVID-19) has been presented using the generalized fractional-order calculus (FOC) based extended Kalman filter (EKF) and wavelet transform (WT) methods. Initially, the st...
Pushpendra Singh
Pushpendra Singh
The Fourier representations (FRs) are indispensable mathematical formulations for modeling and analysis of physical phenomena and engineering systems. This study presents a new set of generalized Fourier representations (GFRs) and phase tra...
Esin Dogantekin,Engin Avci,Oznur Erkus
Esin Dogantekin
Innovations in the fields of medicine and medical image processing are becoming increasingly important. Historically, RNA viruses produced in cell cultures have been identified using electron microscopy, in which virus identification is per...
Compressive sensing meets time-frequency: An overview of recent advances in time-frequency processing of sparse signals [0.03%]
压缩感知与时频分析：稀疏信号时频处理新进展综述
Ervin Sejdić,Irena Orović,Srdjan Stanković
Ervin Sejdić
Compressive sensing is a framework for acquiring sparse signals at sub-Nyquist rates. Once compressively acquired, many signals need to be processed using advanced techniques such as time-frequency representations. Hence, we overview recent...
Peter C Tay,Joseph P Havlicek,Scott T Acton et al.
Peter C Tay et al.
The spectrum of the convolution of two continuous functions can be determined as the continuous Fourier transform of the cross-correlation function. The same can be said about the spectrum of the convolution of two infinite discrete sequenc...