An aircraft component detection method based on 3D recognition and relative position estimation is proposed in this paper. Direct detection of components that are small parts of an object is difficult for the lack of distinctive features. Since relative position of a component to the main axis of the plane is invariant to 3D transformation, major direction vector is proposed to find search regi...

The development of a symbolic computer algebra toolbox for the computation of two dimensional (2D) Fourier transforms in polar coordinates is presented. Multidimensional Fourier transforms are widely used in image processing, tomographic reconstructions and in fact any application that requires a multidimensional convolution. By examining a function in the frequency domain, additional informati...

We propose and demonstrate three-dimensional rearrangements of single atoms. In experiments performed with single 87Rb atoms in optical microtraps actively controlled by a spatial light modulator, we demonstrate various dynamic rearrangements of up to N = 9 atoms including rotation, 2D vacancy filling, guiding, compactification, and 3D shuffling. With the capability of a phase-only F...

In applications like weather monitoring, remote sensing, seismic signal processing etc, the boundaries and sharp features of the images have to be enhanced to obtain useful results and interpretations. The two dimensional(2D) highpass filters are used for such image processing applications. A direct design of the 2D high pass filter using frequency transformation has not been reported in the li...

We define a quantum–mechanical time operator that is selfadjoint and compatible with the energy operator having a spectrum bounded from below. On their common domain, the operators of time and energy satisfy the expected canonical commutation relation. Pauli’s theorem is bypassed because the correspondence between time and energy is not given by the standard Fourier transformation, but by a var...

Thus far, we have seen a number of different approaches to extracting information from data. This week, we will discuss the Fourier transform, and other related transformations that map data into a rather different space, while preserving the information. The Fourier transformation is usually presented as an operation that transforms data from the “time” or “space” domain, into “frequency” doma...

Abstract In this work, the Mellin transform method was used to obtain solutions for the stress field components in two dimensional (2D) elasticity problems in terms of plane polar coordinates. the Mellin transformation was applied to the biharmonic stress compatibility equation expressed in terms of the Airy stress potential function, and the boundary value problem transformed to an algebraic  ...

I apply Fourier and Chebyshev spectral methods to derive accurate and efficient algorithms for velocity continuation. As expected, the accuracy of the spectral methods is noticeably superior to that of the finite-difference approach. Both methods apply a transformation of the time axis to squared time. The Chebyshev method is slightly less efficient than the Fourier method, but has less problem...

Thus far, we have seen a number of different approaches to extracting information from data. This week, we will discuss the Fourier transform, and other related transformations that map data into a rather different space, while preserving the information. The Fourier transformation is usually presented as an operation that transforms data from the “time” or “space” domain, into “frequency” doma...

Thus far, we have seen a number of different approaches to extracting information from data. This week, we will discuss the Fourier transform, and other related transformations that map data into a rather different space, while preserving the information. The Fourier transformation is usually presented as an operation that transforms data from the “time” or “space” domain, into “frequency” doma...