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Journal ArticleDOI

Capricious Digital Filter Design and Implementation Using Baugh–Wooley Multiplier and Error Reduced Carry Prediction Approximate Adder for ECG Noise Removal Application

K. Saritha Raj, +2 more
- 23 Jun 2023 - 
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This article is published in Circuits Systems and Signal Processing.The article was published on 2023-06-23. It has received 0 citations till now. The article focuses on the topics: Adder & Carry-save adder.

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Journal ArticleDOI

Correction to: An Efficient VLSI Architecture for Fast Motion Estimation Exploiting Zero Motion Prejudgment Technique and a New Quadrant-Based Search Algorithm in HEVC

Francis H. Shajin, +2 more
- 30 Sep 2021 - 
TL;DR: New quadrant-based search algorithm with zero motion prejudgment method is proposed for motion estimation (ME) in HEVC (High Efficiency Video Coding) standard to obtain efficient output with low motion estimation time.
Journal ArticleDOI

Low power area efficient adaptive FIR filter for hearing aids using distributed arithmetic architecture

P. V. Praveen Sundar, +4 more
- 01 Jun 2020 - 
TL;DR: This paper recast the hearing aid using distributed arithmetic (DA), which enables the implementation of hearing aid without multipliers, and it is shown that low complexity hearing aid architecture can be obtained.
Journal ArticleDOI

An Optimistic Design of 16-Tap FIR Filter with Radix-4 Booth Multiplier Using Improved Booth Recoding Algorithm

M. Sakthimohan, +1 more
- 19 Nov 2020 - 
TL;DR: Results show that the Improved Booth multiplier-based FIR (radix-4) filter leads to smallest power and area, and the proposed multiplier architecture helps to minimize the number steps in multiplication and also in digital circuits decrease the propagation delay.
Journal ArticleDOI

A novel intelligent technique for energy management in smart home using internet of things

P. Rajesh, +2 more
- 01 Aug 2022 - 
TL;DR: In this article , the authors proposed a hybrid method for energy management system (EMS) in smart home using internet of things (IoT). The proposed hybrid method is hybrid wrapper of both Sailfish Optimizer (SFO) and Adaptive Neuro-Fuzzy Interference System (ANFIS).
Journal ArticleDOI

Efficient Framework for Brain Tumour Classification using Hierarchical Deep Learning Neural Network Classifier

Francis H. Shajin, +3 more
- 20 Aug 2022 - 
TL;DR: In this article , an efficient framework is proposed for brain tumour classification (BTC) based on hierarchical deep-learning neural network (HieDNN) classifier, which achieves higher accuracy of 31.14%, 16.09% and 11.48% during benign; during malignant higher accuracy 35.18, 19.17% and 22.80%; during normal higher accuracy 44.20, 29.97% and 20.44% compared with the existing methods, like convolutional neural network for BTC depending on MRI images (CNN-BTC), microscopic brain tumours detection with classification utilising 3D CNN and feature selection architecture (3DCNN- BTC), BTC utilising hybrid deep auto-encoder using Bayesian fuzzy clustering-based segmentation methodology (DAEN-BTC).