PROJECT TITLE :

A Robust Parallel Algorithm for Combinatorial Compressed Sensing - 2018

ABSTRACT:

It was shown in previous work that a vector x E R n with at most k <; n nonzeros will be recovered from an expander sketch Ax in O(nnz(A) log k) operations via the parallel-I 0 decoding algorithm, where nnz(A) denotes the quantity of nonzero entries in an exceedingly E R m×n . In this Project, we present the strong-I zero decoding algorithm, that robustifies parallel-b zero when the sketch Ax is corrupted by additive noise. This robustness is achieved by approximating the asymptotic posterior distribution of values in the sketch given its corrupted measurements. We tend to offer analytic expressions that approximate these posteriors under the assumptions that the nonzero entries within the signal and also the noise are drawn from continuous distributions. Numerical experiments presented show that robust-I 0 is superior to existing greedy and combinatorial compressed sensing algorithms in the presence of little to moderate signal-to-noise ratios within the setting of Gaussian signals and Gaussian additive noise.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Robust Modulation of PWM-Based Multi-Level Perpendicular Magnetic Recording for Conventional Media - 2018ABSTRACT:During this letter, we propose a sturdy 3-ary modulation for a pulse width modulation (PWM)-based
PROJECT TITLE :Robust Automated VHF Modulation Recognition Based on Deep Convolutional Neural Networks - 2018ABSTRACT:This letter proposes a completely unique modulation recognition algorithm for terribly high frequency (VHF)
PROJECT TITLE :Robust Chance Constrained Power Allocation Scheme for Multiple Target Localization in Colocated MIMO Radar System - 2018ABSTRACT:Taking into consideration the probabilistic uncertainty on the target radar cross
PROJECT TITLE :Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model - 2018ABSTRACT:Low-light image enhancement ways based on classic Retinex model try to govern the estimated illumination and to project it
PROJECT TITLE :Robust Single-Image Super-Resolution Based on Adaptive Edge-Preserving Smoothing Regularization - 2018ABSTRACT:Single-image super-resolution (SR) reconstruction via sparse illustration has recently attracted broad

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry