Iterative Alpha Expansion for estimating gradient‐sparse signals from linear measurements

Comparison of Linear and Non-linear Fitting Methods for Estimating T1 from SPGR Signals

Introduction: T1 maps can be computed from spoiled gradient recalled echo (SPGR) images acquired with different repetition times (TRs) and/or flip angles. Recently, the acquisition of high resolution T1 maps in a clinically feasible timeframe has been demonstrated with Driven Equilibrium Single Pulse Observation of T1 (DESPOT1) [1]. DESPOT1 derives T1 from two or more SPGR images acquired with ...

Rapid estimation of sunflower leaf area from linear measurements

A Fast Iterative Algorithm for Recovery of Sparse Signals from One-Bit Quantized Measurements

This paper considers the problem of reconstructing sparse or compressible signals from one-bit quantized measurements. We study a new method that uses a log-sum penalty function, also referred to as the Gaussian entropy, for sparse signal recovery. Also, in the proposed method, sigmoid functions are introduced to quantify the consistency between the acquired one-bit quantized data and the recon...

Iterative methods for solving non linear Fokker-Planck equation

On the modified iterative methods for $M$-matrix linear systems

This paper deals with scrutinizing the convergence properties of iterative methods to solve linear system of equations. Recently, several types of the preconditioners have been applied for ameliorating the rate of convergence of the Accelerated Overrelaxation (AOR) method. In this paper, we study the applicability of a general class of the preconditioned iterative methods under certain conditio...