On a class of L-splines of order 4: fast algorithms for interpolation and smoothing
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DOI: 10.1007/s10543-020-00801-8
Abstract: In this paper a special class of one-dimensional L -splines of order 4 is studied, which naturally appear in the computation of interpolation and smoothing with multivariate polysplines. Fast algorithms are provided for interpolation and… read more here.
Keywords: class splines; class; fast algorithms; splines order ... See more keywords
Automatic generation of fast algorithms for matrix–vector multiplication
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DOI: 10.1080/00207160.2017.1294252
Abstract: ABSTRACT This paper describes the methods for finding fast algorithms for computing matrix–vector products including the procedures based on the block-structured matrices. The proposed methods involve an analysis of the structural properties of matrices. The… read more here.
Keywords: matrix; fast algorithms; matrix vector; automatic generation ... See more keywords
Fast Algorithms for Designing Complementary Sets of Sequences Under Multiple Constraints
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DOI: 10.1109/access.2019.2910852
Abstract: Complementary sets of sequences (CSSs) are widely used in many applications, such as active sensing and wireless communication. The construction of CSS has attracted considerable attention over the past few decades. In this paper, efficient… read more here.
Keywords: complementary sets; sets sequences; algorithms designing; designing complementary ... See more keywords
Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs
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DOI: 10.1109/tcad.2019.2897701
Abstract: In recent years, convolutional neural networks (CNNs) have become widely adopted for computer vision tasks. Field-programmable gate arrays (FPGAs) have been adequately explored as a promising hardware accelerator for CNNs due to its high performance,… read more here.
Keywords: networks fpgas; neural networks; convolutional neural; fast algorithms ... See more keywords
Sampling of Planar Curves: Theory and Fast Algorithms
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DOI: 10.1109/tsp.2019.2954508
Abstract: We introduce a continuous domain framework for the recovery of a planar curve from a few samples. We model the curve as the zero level set of a trigonometric polynomial. We show that the exponential… read more here.
Keywords: curve; sampling planar; theory fast; curves theory ... See more keywords