Hoomaan Maskan

Hoomaan Maskan

PhD student in Mathematical Statistics

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portfolio

publications

Incorporation of prior knowledge into sparse time dispersive OFDM channel estimation via weighted atomic norm minimisation

Published in IET Communications, 2020

This paper is about incorporation of prior knowledge for a more accurate channel estimation.

Recommended citation: @article{hezaveh2020incorporation, title={Incorporation of prior knowledge into sparse time dispersive OFDM channel estimation via weighted atomic norm minimisation}, author={Hezaveh, Hoomaan and Valiulahi, Iman and Kahaei, Mohammad Hossein}, journal={IET Communications}, volume={14}, number={11}, pages={1704--1708}, year={2020}, publisher={Wiley Online Library} } https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-com.2019.0430

Sparse Signal Reconstruction using Blind Super-resolution with Arbitrary Sampling

Published in IEEE SIGNAL PROCESSING LETTERS, VOL. 27, 2020, 2020

This paper is about sparse blind deconvolution recovery when sampling instances are not integers and Fourier basis is not applicable.

Recommended citation: @article{hezave2020sparse, title={Sparse signal reconstruction using blind super-resolution with arbitrary sampling}, author={Hezave, Hoomaan and Javadzadeh, Milad and Kahaei, Mohammad Hossein}, journal={IEEE Signal Processing Letters}, volume={27}, pages={615--619}, year={2020}, publisher={IEEE} } https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9066889

Super-resolution DOA estimation for wideband signals using non-uniform linear arrays with no focusing matrix

Published in IEEE Wireless Communications Letters, 2021

In this letter, we represent the data model of a wideband DOA estimation problem in a new form. Then, using this model, we propose an atomic norm minimization problem that leads to an accurate wideband DOA estimation method with no need for any focusing matrices.

Recommended citation: @ARTICLE{9665751, author={Jirhandeh, Milad Javadzadeh and Hezaveh, Hoomaan and Kahaei, Mohammad Hossein}, journal={IEEE Wireless Communications Letters}, title={Super-Resolution DOA Estimation for Wideband Signals Using Non-Uniform Linear Arrays With No Focusing Matrix}, year={2022}, volume={11}, number={3}, pages={641-644}, doi={10.1109/LWC.2021.3139568}} [http://academicpages.github.io/files/paper3.pdf](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9665751)

Demixing sines and spikes using multiple measurement vectors

Published in Elsevier Journal of Signal Processing, 2023

In this paper, we consider the demixing of sines and spiky noises.

Recommended citation: @article{MASKAN2023108786, abstract = {We address the line spectral estimation problem with multiple measurement corrupted vectors. Such scenarios appear in many practical applications such as radar, optics, and seismic imaging in which the measurements can be modeled as the sum of a spectrally sparse and a block-sparse signal known as outlier. Our aim is to demix the two components and for this purpose, we design a convex problem whose objective function promotes both of the structures. Using the Positive Trigonometric Polynomials (PTP) theory, we reformulate the dual problem as a Semidefinite Program (SDP). Our theoretical results state that for a fixed number of measurements N and constant number of outliers, up to O(N) spectral lines can be recovered using our SDP problem as long as a minimum frequency separation condition is satisfied. Our simulation results also show that increasing the number of samples per measurement vectors reduces the minimum required frequency separation for successful recovery.}, author = {Hoomaan Maskan and Sajad Daei and Mohammad Hossein Kahaei}, doi = {https://doi.org/10.1016/j.sigpro.2022.108786}, issn = {0165-1684}, journal = {Signal Processing}, keywords = {Spectral super resolution, Demixing, Multiple measurement vector, Atomic norm, Convex optimization}, pages = {108786}, title = {Demixing Sines and Spikes Using Multiple Measurement Vectors}, url = {https://www.sciencedirect.com/science/article/pii/S0165168422003255}, volume = {203}, year = {2023}, bdsk-url-1 = {https://www.sciencedirect.com/science/article/pii/S0165168422003255}, bdsk-url-2 = {https://doi.org/10.1016/j.sigpro.2022.108786}} [http://academicpages.github.io/files/paper3.pdf](https://www.sciencedirect.com/science/article/pii/S0165168422003255)

talks

teaching

Estimation Theory

Graduate course, School of Electrical Engineering, Iran University of Science and Technology, 2019