1 code implementation • 7 Oct 2021 • Milad Soltany Kadarvish, Hesam Mojtahedi, Hossein Entezari Zarch, Amirhossein Kazerouni, Alireza Morsali, Azra Abtahi, Farokh Marvasti
Hence, it is vital to suggest an optimization algorithm to find the sub-optimal structure of the ensemble network, which is done in this paper.
1 code implementation • 7 Apr 2017 • Ali Mottaghi, Kayhan Behdin, Ashkan Esmaeili, Mohammadreza Heydari, Farokh Marvasti
In this paper, we design a system in order to perform the real-time beat tracking for an audio signal.
no code implementations • 19 May 2018 • Ashkan Esmaeili, Kayhan Behdin, Mohammad Amin Fakharian, Farokh Marvasti
In this paper, we propose two new algorithms for transduction with Matrix Completion (MC) problem.
no code implementations • 9 Jun 2017 • Ali Taimori, Farokh Marvasti
In the proposed sampler, we adaptively determine the number of required samples for retrieving image based on space-frequency-gradient information content of image patches.
no code implementations • 25 Jan 2017 • Amirhossein Javaheri, Hadi Zayyani, Farokh Marvasti
The proposed criterion called Convex SIMilarity (CSIM) index is a modified version of the Structural SIMilarity (SSIM) index, which despite its predecessor, is convex and uni-modal.
no code implementations • 21 Nov 2016 • Ahmadreza Moradipari, Sina Shahsavari, Ashkan Esmaeili, Farokh Marvasti
When sparse models are also suffering from MI, the sparse recovery and inference of the missing models are taken into account simultaneously.
no code implementations • 28 Jun 2017 • Amirhossein Javaheri, Hadi Zayyani, Farokh Marvasti
In this paper, we study the missing sample recovery problem using methods based on sparse approximation.
no code implementations • 9 Mar 2017 • Nematollah Zarmehi, Farokh Marvasti
In this letter, we propose an algorithm for recovery of sparse and low rank components of matrices using an iterative method with adaptive thresholding.
no code implementations • 3 Jan 2017 • Mohammad Amin Fakharian, Ashkan Esmaeili, Farokh Marvasti
The algorithm is then modified and optimized for missing scenarios.
no code implementations • 26 Jun 2016 • Ashkan Esmaeili, Arash Amini, Farokh Marvasti
In this paper, we investigate the recovery of a sparse weight vector (parameters vector) from a set of noisy linear combinations.
no code implementations • 23 Jan 2014 • Hossein Hosseini, Ali Goli, Neda Barzegar Marvasti, Masoume Azghani, Farokh Marvasti
In this paper, we propose a method for image block loss restoration based on the notion of sparse representation.
no code implementations • 12 Jun 2016 • Ashkan Esmaeili, Farokh Marvasti
This paper will focus on comparing the power of IMAT in reconstruction of the desired sparse signal with LASSO.
no code implementations • 10 Jul 2014 • Hossein Hosseini, Farzad Hessar, Farokh Marvasti
In this paper, we propose a method for real-time high density impulse noise suppression from images.
no code implementations • 7 Oct 2018 • Ashkan Esmaeili, Kayhan Behdin, Sina Al-E-Mohammad, Farokh Marvasti
In this paper, we propose a novel approach in order to recover a quantized matrix with missing information.
no code implementations • 29 Oct 2018 • Ashkan Esmaeili, Farokh Marvasti
Next, we form an unconstrained optimization problem by regularizing the rank function with Huber loss.
no code implementations • 7 Nov 2018 • Ali Taimori, Farokh Marvasti
Compressive sensing is a new technology for modern computational imaging systems.
no code implementations • 16 Nov 2018 • Ashkan Esmaeili, Farokh Marvasti
Sparse Inverse Covariance Estimation (SICE) is useful in many practical data analyses.
no code implementations • 4 Jun 2019 • Mahdi Shamsi, Mahmoud Ghandi, Farokh Marvasti
Iterative methods have led to better understanding and solving problems such as missing sampling, deconvolution, inverse systems, impulsive and Salt and Pepper noise removal problems.
no code implementations • 22 Oct 2019 • Mahdi Shamsi, Alireza Moslemi Haghighi, Farokh Marvasti
This paper considers the problem of detecting impaired and noisy nodes over network.
no code implementations • 13 Mar 2021 • Seyed Majid Naji, Azra Abtahi, Farokh Marvasti
In the proposed methods, the sparse structure of a network as well as the values of its parameters are trained and updated during the learning process.
no code implementations • 2 Oct 2020 • Mahmoud Essalat, Mahdi Boloursaz Mashhadi, Farokh Marvasti
A major contribution of this work is that it alleviates the need to use simultaneous acceleration signals.
no code implementations • 19 Sep 2022 • Razieh Torkamani, Hadi Zayyani, Farokh Marvasti
In addition, some synthetic and real-world experiments show the advantage of the proposed algorithm in comparison to some other adaptive algorithms in the literature of adaptive graph signal recovery.
no code implementations • 7 Oct 2022 • Naseh Majidi, Mahdi Shamsi, Farokh Marvasti
This paper aims to offer an approach using Twin-Delayed DDPG (TD3) and the daily close price in order to achieve a trading strategy in the stock and cryptocurrency markets.
no code implementations • 21 Sep 2023 • Mahdi Shamsi, Farokh Marvasti
This paper presents an innovative approach leveraging Spectrally Efficient Frequency Division Multiplexing (SEFDM) with enhancements, including Frequency Domain Cyclic Prefix (FDCP) and Modified Non-Linear (MNL) acceleration, to address challenges arising from delay and Doppler shift in mobile communication channels.
no code implementations • 15 Oct 2023 • Mahdi Shamsi, Farokh Marvasti
Distributed algorithms, particularly Diffusion Least Mean Square, are widely favored for their reliability, robustness, and fast convergence in various industries.
no code implementations • 28 Dec 2023 • Amirhossein Javaheri, Arash Amini, Farokh Marvasti, Daniel P. Palomar
Learning a graph from data is the key to taking advantage of graph signal processing tools.