Sampling and Reconstruction Using Bloom Filters - 2018


During this Project, we address the problem of sampling from a set and reconstructing a collection stored as a Bloom filter. To the most effective of our information our work is the first to handle this question. We introduce a novel hierarchical data structure called BloomSampleTree that helps us style economical algorithms to extract an nearly uniform sample from the set stored during a Bloom filter and additionally permits us to reconstruct the set efficiently. Within the case where the hash functions used in the Bloom filter implementation are partially invertible, in the way that it's straightforward to calculate the set of elements that map to a explicit hash value, we have a tendency to propose a second, a lot of house-efficient technique called HashInvert for the reconstruction. We tend to study the properties of these 2 ways each analytically furthermore experimentally. We tend to offer bounds on run times for each ways and sample quality for the BloomSampleTree based mostly algorithm, and show through an intensive experimental evaluation that our methods are efficient and effective.

Did you like this research project?

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

PROJECT TITLE :QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee - 2018ABSTRACT:As a result of On-line Social Networks (OSNs) have become increasingly vital within the last decade, they need motivated a great
PROJECT TITLE :Spectral Domain Sampling of Graph Signals - 2018ABSTRACT:Sampling ways for graph signals within the graph spectral domain are presented. Though the standard sampling of graph signals will be considered sampling
PROJECT TITLE :Intentional Aliasing Method to Improve Sub-Nyquist Sampling System - 2018ABSTRACT:A modulated wideband converter (MWC) has been introduced as a sub-Nyquist sampler that exploits a collection of quick alternating
PROJECT TITLE :Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies - 2018ABSTRACT:The goal of this Project is to propose novel strategies for adaptive learning of signals outlined over graphs, which
PROJECT TITLE :Pixel Binning for High Dynamic Range Color Image Sensor Using Square Sampling Lattice - 2018ABSTRACT:We propose a brand new pixel binning theme for color image sensors. We minimized distortion caused by binning

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

Project Enquiry