PROJECT TITLE :

An Improved Signed Digit Representation Approach for Constant Vector Multiplication - 2016

ABSTRACT:

In this brief, the multiplier-free implementation of the constant vector multiplication is reexamined. A completely unique improved signed digit illustration technique is proposed to beat the two main drawbacks of the present multiplier-free techniques: one) computational redundancy and a couple of) circuit irregularity. The basic difference between the proposed technique and the existing multiplier-free techniques may be a novel optimization framework primarily based on vector decomposition. The constant vector is decomposed into 2 terms: a “public” vector and a “personal” matrix which carries with it the general public operations shared by all of the entries and also the private operations of every individual entry, respectively. In this manner, the overall information flow can be divided into 2 regular steps: multiplied by the “public” vector first and then by the “personal” matrix. The computational complexity reduction task is then achieved by minimizing the length of the “public” vector and the quantity of operations in the “personal” matrix. Experimental results demonstrate that the proposed technique outperforms the prevailing multiplier-free techniques in fewer operations and more regular circuit structure.


Did you like this research project?

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


PROJECT TITLE : Fully Dynamic kk-Center Clustering With Improved Memory Efficiency ABSTRACT: Any machine learning library worth its salt will include both static and dynamic clustering algorithms as core components. The sliding
PROJECT TITLE : IPFS and Blockchain based Reliability and availability improvement for integrated Rivers’ streamflow data ABSTRACT: The collection of data on streamflow using a variety of methods and the dissemination of
PROJECT TITLE : Fully Dynamic k-Center Clustering with Improved Memory Efficiency ABSTRACT: Any machine learning library worth its salt will include both static and dynamic clustering algorithms as core components. The sliding
PROJECT TITLE : Using Improved Conditional Generative Adversarial Networks to Detect Social Bots on Twitter ABSTRACT: The detection and elimination of dangerous social bots in social media has piqued commercial and academic interest.
PROJECT TITLE : Boosting Structure Consistency for Multispectral and Multimodal Image Registration ABSTRACT: In computer vision and computational photography, multispectral imaging is essential. It is vital to align spectral band

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

Project Enquiry