Results 31 to 40 of about 5,908,180 (304)

Efficient Bayesian Phase Estimation [PDF]

open access: yesPhysical Review Letters, 2016
We provide a new efficient adaptive algorithm for performing phase estimation that does not require that the user infer the bits of the eigenphase in reverse order; rather it directly infers the phase and estimates the uncertainty in the phase directly from experimental data.
Wiebe, Nathan, Granade, Christopher E
openaire   +3 more sources

Analysis and Application of Taylor-Kalman Filters Under a Distorted Grid Condition

open access: yesIEEE Access, 2020
The Taylor-Kalman filter (TKF) is a linear filter that can be modeled using either an accurately modeled TKF (known as the modified TKF) or an approximately modeled TKF.
Wen Xu, Chun Huang, Xing Xie
doaj   +1 more source

Quantum eigenvalue estimation via time series analysis

open access: yesNew Journal of Physics, 2019
We present an efficient method for estimating the eigenvalues of a Hamiltonian H from the expectation values of the evolution operator for various times.
Rolando D Somma
doaj   +1 more source

Self-Learning Event Mistiming Detector Based on Central Pattern Generator

open access: yesFrontiers in Neurorobotics, 2021
A repetitive movement pattern of many animals, a gait, is controlled by the Central Pattern Generator (CPG), providing rhythmic control synchronous to the sensed environment.
Rudolf Szadkowski   +2 more
doaj   +1 more source

Hierarchical Data Decision Aided 2-Source BPSK H-MAC Channel Phase Estimator with Feed-Back Gradient Solver for WPNC Networks and Its Equivalent Model

open access: yesInformation, 2019
This paper focuses on the channel state estimation (CSE) problem in parametrized Hierarchical MAC (H-MAC) stage in Wireless Physical Layer Network Coding (WPNC) networks with Hierarchical Decode and Forward (HDF) relay strategy.
Jan Sykora
doaj   +1 more source

Multitaper estimates of phase-amplitude coupling [PDF]

open access: yesJournal of Neural Engineering, 2021
Abstract Phase-amplitude coupling (PAC) is the association of the amplitude of a high-frequency oscillation with the phase of a low-frequency oscillation. In neuroscience, this relationship provides a mechanism by which neural activity might be coordinated between distant regions.
Kyle Q Lepage   +3 more
openaire   +2 more sources

Multibaseline Gradient Ambiguity Resolution To Support Minimum Cost Flow Phase Unwrapping [PDF]

open access: yes, 2010
The TanDEM-X Mission has as primary objective to generate a high resolution global Digital Elevation Model. This paper proposes a new method for multibaseline Phase Unwrapping which is the critical point of this generation.
Marie Lachaise   +5 more
core   +1 more source

Iterative Code-Aided ML Phase Estimation and Phase Ambiguity Resolution

open access: yesEURASIP Journal on Advances in Signal Processing, 2005
As many coded systems operate at very low signal-to-noise ratios, synchronization becomes a very difficult task. In many cases, conventional algorithms will either require long training sequences or result in large BER degradations.
Wymeersch Henk, Moeneclaey Marc
doaj   +1 more source

Autocorrelation Function of Full-Response CPM Signals and Its Application to Synchronization

open access: yesIEEE Access, 2019
Two types of the autocorrelation functions of the full-response continuous phase modulation (CPM) signal are investigated in the paper, the autocorrelation functions are proven to be periodic functions when the modulation index of the CPM signal is h=1 ...
Zhengguang Xu, Qifeng Wang
doaj   +1 more source

Five-phase version of 12slots/8poles three-phase Synchronous Machine for Marine-propulsion [PDF]

open access: yes, 2014
Multiphase machines are widely used in electric marine propulsion especially because of their fault-tolerance which allows to guarantee the propulsion even if a fault occurs in the electrical system.
SCUILLER, Franck   +5 more
core   +1 more source

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