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A Hybrid optimization algorithm is applied for designing stable infinite impulse response (IIR) digital filter based on L 1-approximation error criterion. The proposed Hybrid method calculates the optimal filter coefficients by exploring and exploiting the search space locally as well globally. The filter designed based on L 1-approximation error possesses(More)
The paper develops innovative methodology for robust and stable design of digital infinite impulse response (IIR) filters using a heuristic search method. The proposed heuristic search method enhances the capability to explore and exploit the search space locally as well globally to obtain optimal filter design parameters. A multicriterion optimization is(More)
A solution methodology for the design of digital infinite impulse response (IIR) filter considering multiple conflicting objectives has been proposed. The nucleus of the method is that multiple objectives can be attuned suitably, to optimize the performance in pass bands, stop bands and transition bands of IIR digital filters. The proposed method uses(More)
Cloud computing is a revolutionary movement in the area of IT industry that provides storage, computing power, network and software as an abstraction and as a service, on demand over the internet, which enables its clients to access these services remotely from anywhere, anytime via any terminal equipment. Since cloud has modified the definition of data(More)
In this paper, an optimal design of linear phase digital finite impulse response (FIR) filter using Modified Particle Swarm Optimization (MPSO) has been presented. In the design process, the filter length, pass band and stop band frequencies, pass band and stop band ripple sizes are specified. Sometimes the gradient based optimization techniques are not(More)
In the present investigation, the behavioral, morphological, and histopathological effects of cypermethrin, a widely used synthetic pyrethroid insecticide, was ascertained in male and female albino rats (Rattus norvegicus). Cypermethrin administered at repeated oral doses of 5 and 20 mg/kg/day for 30 days produced varying degree of mild to moderate toxic(More)
Machine vision is a computer based decision making process useful for reducing manual inspections. Accurate classification of agricultural products can be obtained by using external morphological details. This study presents a machine vision system that classifies turmeric rhizomes into three defined classes based on its origin. The objective of this paper(More)
Continuous, remote monitoring of patients using wearable sensors can facilitate early detection of many conditions and can help to manage the growing healthcare crisis worldwide. A remote patient monitoring application consists of many emerging services such as wireless wearable sensor configuration, patient registration and authentication, collaborative(More)