Quasi-Convolution Pyramidal Blurring

A Methodology for Deblurring and Recovering Conformational States of Biomolecular Complexes from Single Particle Electron Microscopy

In this paper we study two forms of blurring effects that may appear in the reconstruction of 3D Electron Microscopy (EM), specifically in single particle reconstruction from random orientations of large multi-unit biomolecular complexes. We model the blurring effects as being due to independent contributions from: (1) variations in the conformation of the biomolecular complex; and (2) errors a...

Convolution and Homogeneous Spaces

Features Invariant Simultaneously to Convolution and Affine Transformation

The contribution is devoted to the recognition of objects and patterns deformed by imaging geometry as well as by unknown blurring. We introduce a new class of features invariant simultaneously to blurring with a centrosymmetric PSF and to affine transformation. As we prove in the contribution, they can be constructed by combining affine moment invariants and blur invariants derived earlier. Co...

Performance Comparison of MIMO-OFDM System

In this paper, we exhibit 2×2 MIMO framework utilizing alamouti space time Block code for level blurring channel. In non level blurring channel i.e. recurrence particular multipath channel, convolution of the channel drive reaction with STBC yield crushes the orthogonality of the STBC that can be comprehended by utilizing Orthogonal Frequency division Multiplexing (OFDM). At long last, we contr...

Restoring Images Degraded by Spatially Variant Blur

Restoration of images that have been blurred by the effects of a Gaussian blurring function is an ill-posed but well-studied problem. Any blur that is spatially invariant can be expressed as a convolution kernel in an integral equation. Fast and effective algorithms then exist for determining the original image by preconditioned iterative methods. If the blurring function is spatially variant, ...