Ebadollah Kheirati Roonizi

EURASIP J. Adv. Signal Process., December, 2024

Digital IIR filters: Effective in edge preservation?

[BibT_eX]

[DOI]

Signal Process., 2024

2023

Smoothing filter design: A general framework.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., August, 2023

Kalman filter/smoother-based design and implementation of digital IIR filters.

[BibT_eX]

[DOI]

Signal Process., July, 2023

Fourier Analysis: A new computing approach [Lecture Notes].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2023

2022

A Kalman Filter Framework for Simultaneous LTI Filtering and Total Variation Denoising.

[BibT_eX]

[DOI]

Ivan W. Selesnick

IEEE Trans. Signal Process., 2022

Kalman Filtering in Non-Gaussian Model Errors: A New Perspective [Tips & Tricks].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2022

An Extension of Quadratic Variation Regularization for Simultaneous Baseline Wander and Power Line Interference Removal from ECG.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2022

A New DDE Smoothing Filter for ECG Signal Denoising.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, 2022

2021

Band-Stop Smoothing Filter Design.

[BibT_eX]

[DOI]

Christian Jutten

IEEE Trans. Signal Process., 2021

ℓ<sub>2</sub> and ℓ<sub>1</sub> Trend Filtering: A Kalman Filter Approach [Lecture Notes].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2021

An Efficient Algorithm for Maneuvering Target Tracking [Tips & Tricks].

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2021

Forward-backward filtering and penalized least-Squares optimization: A Unified framework.

[BibT_eX]

[DOI]

Christian Jutten

Signal Process., 2021

A deep learning-based multi-model ensemble method for eye state recognition from EEG.

[BibT_eX]

[DOI]

Md. Aktaruzzaman

Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

2020

A New Approach to Gaussian Signal Smoothing: Application to ECG Components Separation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

Improved smoothness priors using bilinear transform.

[BibT_eX]

[DOI]

Christian Jutten

Signal Process., 2020

2019

A New Approach to ARMAX Signals Smoothing: Application to Variable-Q ARMA Filter Design.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

2017

ADAPTIVE MODELS-BASED CARDIAC SIGNALS ANALYSIS AND FEATURE EXTRACTION.

[BibT_eX]

[DOI]

PhD thesis, 2017

An Extended Bayesian Framework for Atrial and Ventricular Activity Separation in Atrial Fibrillation.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2017

2016

A Signal Decomposition Model-Based Bayesian Framework for ECG Components Separation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Dominant Atrial Fibrillatory Frequency Estimation using an Extended Kalman Filter.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

A new algorithm for estimating the ν-index using sinusoidal basis functions.

[BibT_eX]

[DOI]

Luca T. Mainardi

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

A Comparison of Three Methodologies for the Computation of V-index.

[BibT_eX]

[DOI]

Massimo Walter Rivolta

Luca T. Mainardi

Proceedings of the Computing in Cardiology, 2015

2014

A Signal Decomposition Approach to Morphological Modeling of P-wave.

[BibT_eX]

[DOI]

Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013

A New Algorithm for Fitting a Gaussian Function Riding on the Polynomial Background.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2013

Morphological modeling of cardiac signals based on signal decomposition.

[BibT_eX]

[DOI]