cosamp-0.1.0.0: Compressive Sampling Matched Pursuit (CoSaMP) algorithm as presented in Needell and Tropp's 2008 paper http://arxiv.org/abs/0803.2392.
Safe HaskellSafe-Inferred
LanguageHaskell2010

CoSaMP

Description

Compressive Sampling Matched Pursuit (CoSaMP): Iterative signal recovery from incomplete and inaccurate samples" by Deanna Needell & Joel Tropp

Synopsis

Documentation

cosamp Source #

Arguments

:: Matrix Double

sampling matrix Φ

-> Vector Double

noisy sample vector u

-> Int

sparsity level s

-> Int

Number of Iterations (default 1000)

-> Double

Tolerance (default 1.0e-10)

-> Vector Double

s-sparse approsimation of the target signal

Compressive Sampling Matched Pursuit (CoSaMP)

dctOrtho :: Matrix Double -> Matrix Double Source #

DCT Type II where corresponding matrix coefficients are made orthonormal

idctOrtho :: Vector Double -> Vector Double Source #

Inverse DCT Type II where corresponding matrix coefficients are made orthonormal