—Conserving network-wide energy consumption is becoming an increasingly important concern for network operators. In this work, we study network-wide energy conservation problem w...
Sets of multivariable functions are described for which worst case errors in linear approximation are larger than those in approximation by neural networks. A theoretical framework...
Linear approximation of point spread function (PSF) is a new method for determining subpixel translations between images. The problem with the actual algorithm is the inability of ...
This paper presents a framework for multiresolution compression and geometric reconstruction of arbitrarily dimensioned data designed for distributed applications. Although being ...
The pipelined CORDIC with linear approximation to rotation has been proposed to achieve reductions in delay, power and area; however, the schemes for rotation (multiplication) and...
Abstract. We present a distinguishing attack against SOBER-128 with linear masking. We found a linear approximation which has a bias of 2−8.8 for the non-linear filter. The atta...