PROJECT TITLE :

Weighted Partitioning for Fast Multiplier-less Multiple Constant Convolution Circuit - 2016

ABSTRACT:

A replacement radix-3 partitioning technique of natural numbers, derived by the burden partition theory, is used to make a multiplierless circuit that's well suited to multimedia filtering applications. The partitioning methodology permits conveniently premultiplying thirty two-b floating-point filter coefficients with the tiniest set of components composing an unsigned integer input. During this manner, like the distributed arithmetic, shifters and recoding circuitry, typical of alternative well-known multiplier circuits, are completely substituted with simplified floating-purpose adders. Compared to the existent literature, targeted to each field-programmable gate array and std_cell technology, the proposed solution achieves state-of-the-art performances in terms of elaboration velocity, achieving a vital path delay of regarding a pair of ns each on a Xilinx Virtex seven and with CMOS 90-nm std_cells.


Did you like this research project?

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


PROJECT TITLE : Index-based Intimate-Core Community Search in Large Weighted Graphs ABSTRACT: On a number of different kinds of graphs, community search that locates communities dependent on a query has been investigated. Intimate-core
PROJECT TITLE : W-GeoR: Weighted Geographical Routing for VANET’s Health Monitoring Applications in Urban Traffic Networks ABSTRACT: The infrastructure-based communication system that is currently in place is susceptible
PROJECT TITLE : A Computationally Efficient Connectivity Index for Weighted Directed Graphs With Application to Underwater Sensor Networks ABSTRACT: The global connectivity of complex networks that have random links is the
PROJECT TITLE : A Review for Weighted MinHash Algorithms ABSTRACT: The computation of data similarity, also known as data distance, is a fundamental research topic that serves as the basis for a large number of high-level applications
PROJECT TITLE : Active Learning From Imbalanced Data A Solution of Online Weighted Extreme Learning Machine ABSTRACT: Active learning is well known for its ability to improve the quality of a classification model while also reducing

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

Project Enquiry