Blar i NTNU Open på forfatter "Fouladi, Seyyed Hamed"
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On Improving Recovery Performance in Multiple Measurement Vector Having Dependency
Fouladi, Seyyed Hamed; Balasingham, Ilangko (Journal article; Peer reviewed, 2019)The multiple measurement vector (MMV) problem is applicable in a wide range of applications such as photoplethysmography (PPG), remote PPG measurement, heart rate estimation, and directional arrival estimation of multiple ... -
On Signal Recovery: Independent Component Analysis for Multiple Measurement Vectors and Source Separation
Fouladi, Seyyed Hamed (Doctoral theses at NTNU;2018:381, Doctoral thesis, 2018)In many applications such as natural sciences, medicine or imaging, some hidden features are to be extracted using some measurements. This arises inverse problem where the cause required to be obtained using the measurement. ... -
Recovery of Independent Sparse Sources From Linear Mixtures Using Sparse Bayesian Learning
Fouladi, Seyyed Hamed; Chiu, Sung-En; Rao, Bhaskar; Balasingham, Ilangko (Journal article; Peer reviewed, 2018)Classical algorithms for the multiple measurement vector (MMV) problem assume either independent columns for the solution matrix or certain models of correlation among the columns. The correlation structure in the previous ... -
Recovery of Linearly Mixed sparse Sources From Multiple Measurement Vectors Using l1 Minimization
Fouladi, Seyyed Hamed; Balasingham, Ilangko (Chapter, 2018)Multiple measurement vector (MMV) enables joint sparse recovery which can be applied in wide range of applications. Traditional MMV algorithms assume that the solution has independent columns or correlation among the ...