Results 71 to 80 of about 73,711 (304)
Advanced Science, EarlyView.Single‐cell and spatial profiling of 110 human thoracic aortic samples reveals a stromal–immune circuit driving aortic dissection. An elastin‐rich fibroblast subset is depleted with age and markedly reduced in disease, weakening aortic wall integrity.
Jing Tao +25 more
wiley +1 more source
Sidelobe Level Reduction in the ACF of NLFM Signals Using the Smoothing Spline Method
IEEE AccessThe high level of sidelobes in the autocorrelation function of the nonlinear frequency modulation signal is a challenge. One of the conventional methods to reduce the sidelobe levels is to use the principle of stationary phase.
Roohollah Ghavamirad +2 more
doaj +1 more source
INFORMATION PROCESSING WITH AN OPTICAL SENSOR WHEN INCOMPLETE INITIAL INFORMATION
Adaptivni Sistemi Avtomatičnogo Upravlinnâ, 2019 The range of tasks, solved by the properties of classification and generalization, is quite broad. However, the quality of solving to the problem, for one reason or another, is not always the same.
Igor Parkhomey +3 more
doaj +1 more source
Additive Autocorrelation of Resilient Boolean Functions [PDF]
, 2004 In this paper, we introduce a new notion called the dual function for studying Boolean functions. First, we discuss general properties of the dual function that are related to resiliency and additive autocorrelation. Second, we look at preferred functions which are Boolean functions with the lowest 3-valued spectrum.
Guang Gong, Khoongming Khoo
openaire +1 more source
On the estimation of the autocorrelation function
, 2010 The autocorrelation function has a very important role in several application areas involving stochastic processes. In fact, it assumes the theoretical base for Spectral analysis, ARMA (and generalizations) modeling, detection, etc.
Ortigueira, Manuel
core +1 more source
Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning
Advanced Science, EarlyView.ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen +6 more
wiley +1 more source
Derivation of correlation dimension from spatial autocorrelation functions.
PLoS ONEBackgroundSpatial complexity is always associated with spatial autocorrelation. Spatial autocorrelation coefficients including Moran's index proved to be an eigenvalue of the spatial correlation matrixes. An eigenvalue represents a kind of characteristic
Yanguang Chen
doaj +1 more source
The limiting power of autocorrelation tests in regression models with linear restrictions [PDF]
It is well known that the Durbin-Watson and several other tests for first-order autocorrelation have limiting power of either zero or one in a linear regression model without an intercept, and tend to a constant lying strictly between these values when ...
Wan, Alan, Zou, Guohua, Banerjee, Anurag
core
Robust estimation of autocorrelation function
, 2020 The autocorrelation function is a basic tool for time series analysis. The clas- sical estimation is very sensitive to outliers and can lead to misleading results.
Lain, Michal
core
Autocorrelation function of inter-arrival times.
, 2019 Autocorrelation function of inter-arrival times.
José L. Torrecilla (4172740) +4 more
core +1 more source