21 citations · 40 across the 6 of their papers we have counts for
6 papers
Fourier Transform Approach to Machine Learning III: Fourier Classification
Soheil Mehrabkhani
We propose a Fourier-based learning algorithm for highly nonlinear multiclass classification. The algorithm is based on a smoothing technique to calculate the probability distribut…
Fourier Transform Approach to Machine Learning II: Fourier Clustering
Soheil Mehrabkhani
We propose a Fourier-based approach for optimization of several clustering algorithms. Mathematically, clusters data can be described by a density function represented by the Dirac…
Fourier Transform Approach to Machine Learning I: Fourier Regression
Soheil Mehrabkhani
We propose a supervised learning algorithm for machine learning applications. Contrary to the model developing in the classical methods, which treat training, validation, and test…
A Fourier-based Solving Approach for the Transport of Intensity Equation without Typical Restrictions
Soheil Mehrabkhani, Lennart Wefelnberg, Thomas Schneider
The Transport-of-Intensity equation (TIE) has been proven as a standard approach for phase retrieval. Some high efficiency solving methods for the TIE, extensively used in many wor…
Optimization of phase retrieval in the Fresnel domain by the modified Gerchberg-Saxton algorithm
Soheil Mehrabkhani, Melvin Kuester
The modified Gerchberg-Saxton algorithm (MGSA) is one of the standard methods for phase retrieval. In this work we apply the MGSA in the paraxial domain. For three given physical p…
Is the Rayleigh-Sommerfeld diffraction always an exact reference for high speed diffraction algorithms?
Soheil Mehrabkhani, Thomas Schneider
In several areas of optics and photonics like wave propagation, digital holography, holographic microscopy, diffraction imaging, biomedical imaging and diffractive optics, the beha…