We review compressive sensing and its extension to classification and joint signal recovery. We present an overview of compressed sensing, followed by some simulation results on perfect reconstruction for sparse signals. We review previous work on compressed signal classification and discuss relations between the two earlier papers. Finally, we discuss joint signal reconstruction for compressed...

3D reconstruction from image data is required in many medical procedures. Recently, the use of fluoroscopy data to generate these 3D models has been explored. Most existing methods require knowledge of the scanning path either from precise hardware, or pre-calibration procedures. We propose an alternative of obtaining this needed pose information without the need of additional hardware or pre-c...

INTRODUCTION A novel image reconstruction technique, which avoids aliasing artifacts by scalable image reconstruction in Magnetic Resonance Imaging, is proposed. The signal obtained in the phase-scrambling Fourier imaging technique can be transformed to the signal described in the Fresnel transform equation of the objects. Therefore, image reconstruction can be performed not only by inverse Fou...

A proposal for a new front-end architecture intended to capture signals in the optical module of an underwater neutrino telescope is described. It concentrates on the problem of power consumption, signal reconstruction, charge and time precision. . © 2008 Elsevier Science. All rights reserved PACS: Enter PACS number(s) here "

In this paper, we consider the method for reconstructing a signal from a finite number of samples. In shift-invariant space framework, we derive an aproximately min-max optimal interpolator to to reconstruct a signal on an interval. An effective non-iterative algorithm for signal reconstruction is given also. Numerical examples show the effectiveness of the proposed method.

“Everything should be modular” is an exalted goal stated by almost every architect – but is it really possible to achieve this goal? In this experience paper, we share our lessons learned across a number of restructuring projects that went modular. We discuss typical business motivations, restructuring efforts starting with good intentions, and reconstruction reality striking back. In retrospec...

This paper describes a new audio coding scheme based on sinusoidal coding of signals. Sinusoidal coding permits the representation of a given signal through the summation of sinusoids. The parameters of the sinusoids (the amplitudes, phases and frequencies) are transmitted to allow the signal reconstruction. In the proposed scheme, the sinusoidal parameters are sorted according to energy conten...

A model of reconstruction spending by an occupying force is developed, in which the local population may have different preferences over the allocation of spending than the occupier. When the spendingallocation is misaligned with local preferences an insurgency among some members of the community may result. Depending on the effectiveness of the insurgency, local opposition may constrain the ab...

Reconstructing explanations is crucial for the progress of science. We focused on the transition of interest in a key fact that contradicts the preceding explanation and has a central role in its reconstruction. We used a short story as an experimental material in which the participants first constructed a naı̈ve explanation and reconstructed it. First, when the naı̈ve explanation was rejected, a...

We propose a simple algorithm to control the spatial location of reconstruction errors inherent in gradient-based image compositing. We build upon the classical Poisson equation and add a weighting term that controls where reconstruction errors can occur. We define this term in such a way that residuals are mainly located in textured regions where they are less visible. Our approach is independ...