Spatial aliasing in multichannel seismic data can be overcome by solving an inversion in which the model is the section that would be recorded in a well sampled zero-offset experiment, and the data are seismic data after normal moveout (NMO). The formulation of the (linear) relation between the data and the model is based on the wave equation and on Fourier analysis of aliasing. A processing se...

Introduction: Variable density spiral (VDS) imaging typically samples low spatial frequencies densely and high spatial frequencies sparsely [1]. Reconstructed images are prone to aliasing artifacts, but they are considered to be acceptable in certain cases where aliasing of high spatial frequencies do not significantly deteriorate image quality. VDS imaging is particularly useful for dynamic MR...

Natural patterning of templates on GaAs by formation of cracks Yuxin Song,1 Hao Xu,1 Yaoyao Li,1,a Mahdad Sadeghi,2 and Shumin Wang1,2,a 1State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, China 2Department of Microtechnology and Nanoscience, Chalmers University of Technology,...

George Wolberg City College of New York 39.

Imaging devices exploit the Nyquist-Shannon sampling theorem to avoid both aliasing and redundant oversampling by design. Conversely, in medical image resampling, images are considered as continuous functions, are warped by a spatial transformation, and are then sampled on a regular grid. In most cases, the spatial warping changes the frequency characteristics of the continuous function and no ...

The Quantization Theorem I (QT I) implies that the likelihood function can be reconstructed from quantized sensor observations, given that appropriate dithering noise is added before quantization. We present constructive algorithms to generate such dithering noise. The application to maximum likelihood estimation (mle) is studied in particular. In short, dithering has the same role for amplitud...

Value Prediction is one of the newest techniques used to break down ILP limits. Despite being under continuous study during the last few years, a few aspects related to this emerging technique remain unanalysed in depth. Exhaustively investigated in the context of control speculation, confidence estimation has usually played a secondary role on value prediction and speculation. Closely linked t...

In this paper we propose a new strategy for the design of real-valued lterbanks which avoids aliasing in the subbands (\inband aliasing") such that applications where two subband signals have to be compared become possible. One example for such an application is subband adap-tive ltering, where, with the proposed lter-bank structure, the traditionally required cross-term adaptive lters between ...

Aliasing environments present the tasks of increased difficulty for Learning Classifier Systems. Aliasing squares look identical for an agent with limited perceptive power, but may demand a completely different optimal strategy. Thus, the presence of aliasing squares in a maze may lead to a non-optimal behaviour and decrease the agent’s performance. As a possible approach to the problem we intr...