Topic
Linear approximation
About: Linear approximation is a research topic. Over the lifetime, 3901 publications have been published within this topic receiving 74764 citations.
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01 Jan 1983
26 citations
TL;DR: It is shown that the best linear approximation of the MIMO LNL system in the mean square sense can be obtained by the orthogonal projection (ORT) subspace identification method.
26 citations
TL;DR: In this paper, the determination of l'ordre exact d'approximation de certains espaces de fonctions-splines regulieres a deux variables
Abstract: Determination de l'ordre exact d'approximation de certains espaces de fonctions-splines regulieres a deux variables
26 citations
TL;DR: This paper presents a relaxation of a provably good algorithm for lossy signal compression, based on the piecewise linear approximation of functions, and describes an architecture suitable for the single-chip implementation of the proposed algorithm.
Abstract: Lossy compression schemes are often desirable in many signal processing applications such as the compression of ECG data. This paper presents a relaxation of a provably good algorithm for lossy signal compression, based on the piecewise linear approximation of functions. The algorithm approximates the data within a given tolerance using a piecewise linear function. The paper also describes an architecture suitable for the single-chip implementation of the proposed algorithm. The design consists of control, two multiply/divide units, four adder/subtracter units, and an I/O interface unit. For uniformly sampled data, no division is required, and all operations can be completed in a pipelined manner in at most three cycles per sample point. The corresponding simplified architecture is also presented. >
26 citations
TL;DR: In this article, a novel microwave imaging approach to reconstruct the dielectric properties of targets hosted in partially known, noncanonical, scenarios is proposed and assessed, taking joint advantage of the recently introduced virtual experiments paradigm and exploits a new linear approximation developed within such a framework.
Abstract: A novel microwave imaging approach to reconstruct the dielectric properties of targets hosted in partially known, noncanonical, scenarios is proposed and assessed. The method takes joint advantage of the recently introduced virtual experiments paradigm and exploits a new linear approximation developed within such a framework. Such an approximation implicitly depends on the unknown targets and, therefore, has a broader applicability as compared with the traditional distorted Born approximation. Being noniterative, the resulting distorted-wave inversion method is capable of quasi-real-time imaging and successfully images nonweak perturbations. The performances of the novel imaging method have been assessed with simulated data and validated experimentally against some of Fresnel data sets.
26 citations