Informatics Publishing Limited

M. V. Jithin Kumar ¹, K. B. Jayanthi ²

Affiliations
1 Department of Electronics and Communication Engineering, Heera College of Engineering and Technology, Kalliyode, Thiruvananthapuram - 695568, Kerala, IN
2 Department of Electronics and Communication Engineering, K. S. Rangasamy College of Technology, Namakkal District - 637215, Tamil Nadu, IN

Abstract

This paper presents a low-power higher radix multiplication algorithm based on Radix-16 32×32 bit Modified Booth Encoder (MBE). Hard multiples are the major factors for power consumption in higher radix MBE. This paper introduces the design of a Hybrid Multiplication Technique (HMT) to suppress the hard multiples that exist in a Radix-16 32×32 bit MBE. The proposed HMT uses Radix-8 and Radix-4 encoding technique along with Radix-16 to avoid the hard multiples. Experimental results based on Synopsys SDK 90nm, 1.32V standard-cell library show that the proposed HMT reduces power consumption up to 25% and 21% in comparison with conventional Radix-16 and Radix-8 MBE respectively. HMT equipped Radix-16 MBE also gives better performance than existing techniques with respect to frequency and power.

Keywords

Hard Multiples, Higher-Radix Modified Booth Multiplier, Low-Power, Slack, Synthesis

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R. Nandakumar ¹, K. B. Jayanthi ²

Affiliations
1 Department of Electronics and Communication Engineering, K.S.R. Institute for Engineering and Technology, IN
2 Department of Electronics and Communication Engineering, K.S. Rangasamy College of Technology, IN

Abstract

According to the report given by World Health Organization, by 2030 almost 23.6million people will die from cardiovascular diseases (CVD), mostly from heart disease and stroke. The main objective of this work is to develop a classifier for the diagnosis of abnormal Common Carotid Arteries (CCA). This paper proposes a new approach for the analysis of abnormalities in longitudinal B-mode ultrasound CCA images using multiwavelets. Analysis is done using HM and GHM multiwavelets at various levels of decomposition. Energy values of the coefficients of approximation, horizontal, vertical and diagonal details are calculated and plotted for different levels. Plots of energy values show high correlation with the abnormalities of CCA and offer the possibility of improved diagnosis of CVD. It is clear that the energy values can be used as an index of individual atherosclerosis and to develop a cost effective system for cardiovascular risk assessment at an early stage.

Keywords

Ultrasound, Common Carotid Artery, Multiwavelets, Energy Measurement, Classification.

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