PROJECT TITLE:

An Accuracy Adjustment Fixed Width Booth Multiplier Based on Multilevel Conditional Probability - 2014

ABSTRACT:

This transient proposes an accuracy-adjustment mounted-width Booth multiplier that compensates the truncation error using a multilevel conditional chance (MLCP) estimator and derives a closed type for numerous bit widths L and column info w. Compared with the exhaustive simulations strategy, the proposed MLCP estimator substantially reduces simulation time and easily adjusts accuracy primarily based on mathematical derivations. Unlike previous conditional-likelihood strategies, the proposed MLCP uses entire nonzero code, specifically MLCP, to estimate the truncation error and achieve higher accuracy levels. Furthermore, the easy and tiny MLCP compensated circuit is proposed during this temporary. The results of this temporary show that the proposed MLCP Booth multipliers achieve low-value high-accuracy performance.


Did you like this research project?

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


PROJECT TITLE :Faultprog: Testing the Accuracy of Binary-Level Software Fault Injection - 2018ABSTRACT:Off-The-Shelf (OTS) software parts are the cornerstone of contemporary systems, as well as safety-important ones. However,
PROJECT TITLE :Enhancing Localization Scalability and Accuracy via Opportunistic Sensing - 2018ABSTRACT:Employing a mobile phone for fine-grained indoor localization remains an open drawback. Low-complexity approaches without
PROJECT TITLE :Low Cost and High Accuracy Data Gathering in WSNs with Matrix Completion - 2018ABSTRACT:Matrix completion has emerged very recently and provides a brand new venue for low value knowledge gathering in Wireless Sensor
PROJECT TITLE :Dual-Quality 4:2 Compressors for Utilizing in Dynamic Accuracy Configurable Multipliers - 2017ABSTRACT:In this paper, we propose four four:a pair of compressors, that have the flexibleness of switching between the
PROJECT TITLE : High Accuracy Retinal Layer Segmentation For Optical Coherence Tomography Using Tracking Kernels Based On Gaussian Mixture Model - 2014 ABSTRACT: Ophthalmology needs automated segmentation of retinal layers

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

Project Enquiry