Results 41 to 50 of about 5,734,459 (326)
Spectral densities describing off-white noises [PDF]
For the white noise, the spectral density is constant, and the past (restriction to (-\infty,0)) is independent from the future (restriction to (0,+\infty)). If the spectral density is not too far from being constant, then dependence between the past and
Boris Tsirelson
openalex +4 more sources
Modeling annual discharge of six Mexico’s northern rivers
The overall goal of this report was to understand river discharge variability to improve conventional water management practices of Mexico’s northern subtropical rivers.
Jose de Jesus Navar
doaj +1 more source
Density Gain-Rate Peaks for Spectral Clustering
Clustering has been troubled by varying shapes of sample distributions, such as line and spiral shapes. Spectral clustering and density peak clustering are two feasible techniques to address this problem, and have attracted much attention from academic ...
Jiexing Liu, Chenggui Zhao
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Spectrum: fast density-aware spectral clustering for single and multi-omic data
Clustering of single or multi-omic data is key to developing personalised medicine and identifying new cell types. We present Spectrum, a fast spectral clustering method for single and multi-omic expression data. Spectrum is flexible and performs well on
C. John+4 more
semanticscholar +1 more source
Seismoacoustic observations using molecular-electronic hydrophones on Sakhalin and the South Kuril Islands (Kunashir Island) [PDF]
The article presents the main characteristics and studies spectral and recording capabilities of experimental samples of three types of molecular-electronic hydrophones with different sizes of electrochemical converting cells, which were installed in the
Dmitry V. Kostylev+1 more
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The photoplethysmogram (PPG) obtained from pulse oximetry measures local variations of blood volume in tissues, reflecting the peripheral pulse modulated by heart activity, respiration and other physiological effects. We propose an algorithm based on the
A. Garde+4 more
semanticscholar +1 more source
Bayesian spectral modeling for multiple time series [PDF]
We develop a novel Bayesian modeling approach to spectral density estimation for multiple time series. The log-periodogram distribution for each series is modeled as a mixture of Gaussian distributions with frequency-dependent weights and mean functions.
Cadonna, Annalisa+2 more
core +1 more source
In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali+3 more
wiley +1 more source
Comparison Between the Exact Likelihood and Whittle Likelihood for Moving Average Processes
For Gaussian stationary processes, the likelihood functions include the inverse and determinant of the covariance matrices, and Whittle likelihood is considered as a standard technique to avoid expensive matrix determinant and inversions under large ...
Xiaofei Xu+2 more
doaj +1 more source
Comparison of the STA/LTA and power spectral density methods for microseismic event detection
Summary We have compared the performance of two microseismic event detectors, namely the STA/LTA and PSD methods. We conclude that the PSD technique outperforms the STA/LTA method by detecting a higher number of weak microseismic events that are obscured
Yoones Vaezi, M. Baan
semanticscholar +1 more source