DocumentCode
3659509
Title
VLSI architecture of exponential block for non-linear SVM classification
Author
Shradha Gupta;Sumeet Saurav;Sanjay Singh;Anil K Saini;Ravi Saini
Author_Institution
AIM &
fYear
2015
Firstpage
528
Lastpage
532
Abstract
In this work, we present a dedicated hardware implementation of exponential function computation unit using CORDIC (Coordinate Rotation Digital Computer) algorithm for extended range of input arguments. Hardware architecture design is done keeping in view its possible integration in the hardware implementation of the Radial Basis Function (RBF) based Support Vector Machine (SVM) classifier. The designed architecture is prototyped on a field programmable gate array (FPGA) to meet the specific requirement of performance. The proposed design is operating at a maximum clock frequency of 249 MHz. This shows good performance of our proposed architecture in terms of speed. Synthesis result also reveals that the proposed architecture is resource efficient.
Keywords
"Computer architecture","Hardware","Algorithm design and analysis","Radiation detectors","Signal processing algorithms","Clocks","Support vector machines"
Publisher
ieee
Conference_Titel
Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on
Print_ISBN
978-1-4799-8790-0
Type
conf
DOI
10.1109/ICACCI.2015.7275662
Filename
7275662
Link To Document