An optimal channel estimation scheme for intelligent reflecting surfaces based on a minimum variance unbiased estimator

TL Jensen, E De Carvalho - ICASSP 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
In a wireless system with Intelligent Reflective Surfaces (IRS) containing many passive
elements, we consider the problem of channel estimation. All the links from the transmitter to …

Review of the quasi-maximum likelihood estimator for polynomial phase signals

I Djurović, M Simeunović - Digital Signal Processing, 2018 - Elsevier
Several papers have been published recently on the quasi-maximum likelihood (QML)
approach for the polynomial phase signals (PPS) parameter estimation. The QML is …

Parameter measurement of LFM signal with FRI sampling and nuclear norm denoising

Z Wei, N Fu, S Jiang, X Li, L Qiao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Measurement of linear frequency modulation (LFM) signal is significant for radar,
communication, and electronic reconnaissance fields. An LFM signal is a wideband signal …

QML-RANSAC instantaneous frequency estimator for overlapping multicomponent signals in the time-frequency plane

I Djurović - IEEE Signal Processing Letters, 2018 - ieeexplore.ieee.org
Effective quasi maximum likelihood-random samples consensus algorithm is proposed for
the instantaneous frequency (IF) estimation of overlapping signals in the time-frequency (TF) …

An efficient method for parameter estimation and separation of multi-component LFM signals

Z Lu, S Liu, J Qiu, Q Huang, C Yang - Signal Processing, 2023 - Elsevier
In this paper, an efficient and robust algorithm for fast parameter estimation and separation
of multi-component LFM signals is proposed, which is suitable for processing overlapping …

Parameters estimation of linear frequency modulated signal using Kalman filter and its extended versions

E Moradi, R Mohseni - Signal, Image and Video Processing, 2023 - Springer
The problem of linear frequency modulated (LFM) or chirp signal analysis is proposed in this
paper. It is considered as an estimation theory problem in which the LFM parameters are …

Sparse modeling of the early part of noisy room impulse responses with sparse bayesian learning

M Fu, JR Jensen, Y Li… - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
A model of a room impulse response (RIR) is useful for a wide range of applications.
Typically, the early part of a RIR is sparse, and its sparse structure allows for accurate and …

Bayesian estimation of instantaneous speed for rotating machinery fault diagnosis

Y Hu, F Cui, X Tu, F Li - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
The instantaneous speed (IS), ie, instantaneous frequency, is an important feature to exploit
the time-frequency characteristic of nonstationary signals. The IS estimation is widely used …

Estimation of chirp signals with time-varying amplitudes

X Meng, A Jakobsson, X Li, Y Lei - Signal Processing, 2018 - Elsevier
The problem of parameters estimation of signals composed of an unknown number of chirps
with time-varying amplitude is presented using a sparse reconstruction framework. The …

Non-stationary prediction for addressing the non-causality problem in fixed-filter ANC headphones for speech reduction

Y Iotov, SM Nørholm, V Belyi… - 2023 31st European …, 2023 - ieeexplore.ieee.org
In some situations, speech can be a disturbing source of ambient noise. Active noise control
(ANC) systems have difficulties in dealing with speech due to its non-stationary nature when …