Results 81 to 90 of about 9,784,899 (249)
Full-analytic frequency-domain 1pN-accurate gravitational wave forms from eccentric compact binaries
, 2010 The article provides ready-to-use 1pN-accurate frequency-domain gravitational wave forms for eccentric nonspinning compact binaries of arbitrary mass ratio including the first post-Newtonian (1pN) point particle corrections to the far-zone gravitational ...
F. W. J. Olver +5 more
core +1 more source
Reciprocal control of viral infection and phosphoinositide dynamics
FEBS Letters, EarlyView.Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
EURASIP Journal on Advances in Signal Processing, 2003 Frequency-domain blind source separation (BSS) is shown to be equivalent to two sets of frequency-domain adaptive beamformers (ABFs) under certain conditions. The zero search of the off-diagonal components in the BSS update equation can be viewed as the
Hinamoto Yoichi +5 more
doaj +1 more source
Gauge techniques in time and frequency domain TLM
, 2009 Typical features of the Transmission Line Matrix (TLM) algorithm in connection with stub loading techniques and prone to be hidden in common frequency domain formulations are elucidated within the propagator approach to TLM.
Cap +13 more
core +1 more source
Frequency-domain gravitational waves from nonprecessing black-hole binaries. II. A phenomenological model for the advanced detector era [PDF]
, 2015 We present a new frequency-domain phenomenological model of the gravitational-wave signal from the inspiral, merger and ringdown of nonprecessing (aligned-spin) black-hole binaries.
Sebastian Khan +6 more
semanticscholar +1 more source
Frequency-Domain and Spatial-Domain MLMVN-Based Convolutional Neural Networks
AlgorithmsThis paper presents a detailed analysis of a convolutional neural network based on multi-valued neurons (CNNMVN) and a fully connected multilayer neural network based on multi-valued neurons (MLMVN), employed here as a convolutional neural network in the
Igor Aizenberg, Alexander Vasko
doaj +1 more source
Cointegration in Frequency Domain [PDF]
Existence of a cointegration relationship between two time series in the time domain imposes restrictions on the series zero-frequency behaviour in terms of their squared coherence, phase, and gain, in the frequency domain. I derive these restrictions by
Daniel Levy
core
Information theoretic interpretation of frequency domain connectivity measures
, 2010 To provide adequate multivariate measures of information flow between neural structures, modified expressions of Partial Directed Coherence (PDC) and Directed Transfer Function (DTF), two popular multivariate connectivity measures employed in ...
Baccalá, Luiz Antonio +2 more
core +1 more source
A Time–Frequency Domain Analysis Method for Variable Frequency Hopping Signal
SensorsA variable frequency hopping (VFH) signal is a kind of frequency hopping (FH) signal that varies both in frequency and dwell time. However, in radio surveillance, the existing methods for unidentified signals using VFH cannot be effectively handled.
Zhengzhi Zeng +3 more
doaj +1 more source
Broadband Beamspace DOA Estimation: Frequency-Domain and Time-Domain Processing Approaches
EURASIP Journal on Advances in Signal Processing, 2007 Frequency-domain and time-domain processing approaches to direction-of-arrival (DOA) estimation for multiple broadband far field signals using beamspace preprocessing structures are proposed.
Yan Shefeng
doaj +2 more sources