Basis pursuit denoising
id:
basis-pursuit-denoising-283-18318977
title:
Basis pursuit denoising
text:
In applied mathematics and statistics, basis pursuit denoising (BPDN) refers to a mathematical optimization problem of the form where λ is a parameter that controls the trade-off between sparsity and reconstruction fidelity, x is an N × 1 solution vector, y is an M × 1 vector of observations, A is an M × N transform matrix and M < N . This is an instance of convex optimization. Some authors refer to basis pursuit denoising as the following closely related problem: which, for any given λ , is equ
brand slug:
wiki
category slug:
encyclopedia
description:
Mathematical optimization problem
original url:
https://en.wikipedia.org/wiki/Basis_pursuit_denoising
date created:
date modified:
2024-01-05T13:55:56Z
main entity:
{"identifier":"Q4867574","url":"https://www.wikidata.org/entity/Q4867574"}
image:
fields total:
13
integrity:
14