Results 271 to 280 of about 5,908,180 (304)

Polynomial Phase Estimation by Least Squares Phase Unwrapping

IEEE Transactions on Signal Processing, 2014
Estimating the coefficients of a noisy polynomial phase signal is important in fields including radar, biology and radio communications. One approach attempts to perform polynomial regression on the phase of the signal. This is complicated by the fact that the phase is wrapped modulo 2π and must be unwrapped before regression can be performed.
Robby G. McKilliam, Barry G. Quinn, I. Vaughan L. Clarkson, William Moran 0001, Badri N. Vellambi   +4 more
openaire   +3 more sources

Agnostic estimation for phase retrieval

J. Mach. Learn. Res., 2020
Summary: The goal of noisy high-dimensional phase retrieval is to estimate an \(s\)-sparse parameter \(\boldsymbol{\beta}^*\in \mathbb{R}^d\) from \(n\) realizations of the model \(Y = (\mathbf{X}^T \boldsymbol{\beta}^*)^2 + \varepsilon \). Based on this model, we propose a significant semi-parametric generalization called misspecified phase retrieval (
Matey Neykov, Zhaoran Wang 0001, Han Liu 0001   +2 more
openaire   +2 more sources

Phase Reassignment with Efficient Estimation of Phase Difference

2022 30th European Signal Processing Conference (EUSIPCO), 2022
Maria Åkesson 0001, Maria Sandsten
openaire   +2 more sources

Estimation of sensor gain and phase

IEEE Transactions on Signal Processing, 1994
The problem of estimating the direction-independent gain and phase characteristics of an array of sensors, using knowledge of the true field covariance at the sensor locations, is considered. A concise expression for the log-likelihood function is derived and several mathematical properties of this objective function are given.
openaire   +2 more sources

Phase Estimation

2023
openaire   +1 more source

Quantum-enhanced stochastic phase estimation with the SU(1,1) interferometer

Photonics Research, 2020
Yanbo Lou, Jietai Jing, Liyun Hu
exaly  

An estimation algorithm for 2-D polynomial phase signals

IEEE Transactions on Image Processing, 1996
J M Francos
exaly  

A Machine Learning Approach to Phase Reference Estimation With Noise

IEEE Transactions on Communications, 2020
Ning Xie, Alex Liu, Le Ou-Yang
exaly  

Phase estimation using a state-space approach based method

Optics and Lasers in Engineering, 2013
Rajshekhar Gannavarpu, Pramod Rastogi
exaly  

PHASE ESTIMATION METHOD AND PHASE ESTIMATION DEVICE

2012
CHENG CHANG LEE, TAO ZHENNING, LI LEI
openaire   +1 more source