VLSI architecture of exponential block for non-linear SVM classification | IEEE Conference Publication | IEEE Xplore

VLSI architecture of exponential block for non-linear SVM classification


Abstract:

In this work, we present a dedicated hardware implementation of exponential function computation unit using CORDIC (Coordinate Rotation Digital Computer) algorithm for ex...Show More

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.
Date of Conference: 10-13 August 2015
Date Added to IEEE Xplore: 28 September 2015
ISBN Information:
Conference Location: Kochi, India

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