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 :
بازگشت