Optimisation based design of finite impulse response (FIR) filters has been an active area research for quite some time. The various algorithms proposed FIR filter aim at meeting a set desired specifications in the frequency domain. Evolutionary have found to be very effective because non-linear, non-differentiable and non-convex nature associated optimisation problem. present work proposes two modified versions recently developed evolutionary technique i.e. artificial bee colony (ABC)...

Summary A fractional delay filter is used to increase the accuracy, preciseness, time synchronization, and stability of signal processing system. However, designing a for specified delay, without affecting spectral characteristics challenging because nondifferentiability multimodal nature its objective function. In this paper, more accurate design technique has been proposed filters, based on recently developed firefly algorithm improved version. The designed filters offer variable delay....

This paper proposed a modified evolutionary technique formed by the hybridization of bee colony and Nelder–Mead Simplex search to optimize coefficients Quadrature Mirror Filter (QMF). The performance QMF can be evaluated in terms error pass-band, stop-band measure ripple. A objective function is designed this work, expressed as weighted sum errors minimized using technique. results obtained from are compared with previously reported optimization techniques based on design. significant...

In genomic research, identifying the exon regions in eukaryotes is most cumbersome task. This article introduces a new promising model-independent method based on short-time discrete Fourier transform (ST-DFT) and fine-tuned variational mode decomposition (FTVMD) for regions. The proposed uses N/3 periodicity property of eukaryotic genes to detect using ST-DFT. However, background noise present spectrum ST-DFT since sliding rectangular window produces spectral leakage. To overcome this,...

Motivated by the need of reducing power consumption (PC) in two dimensional (2D) finite impulse response (FIR) filters, this work, 2D FIR filter design task is formulated as an optimisation problem that seeks to attain desired frequency and reduces PC. The has been solved using modified version artificial bee colony algorithm. applicability proposed approach evaluated designing circular shaped filters for a set specifications domain. designed have compared with other reported state art...

Fractional order representation has been more effective in analyzing various physical systems efficiently as compared to conventional integer representation. allows higher be replaced by small fractional equivalent systems. In this paper, filters are designed using Swarm intelligence based evolutionary optimization algorithm. The have with other state of the art techniques. evaluate reduction proposed technique converted digital filter. applicability for real time applications validated...

Abstract Recent trend indicates that the assessment of low complexity is crucial for an effectual design digital filter. Earlier existing algorithms solely focused on reducing pass band ripples and stop in spite requirement implementation finite impulse response (FIR) filter design. In this regard, optimization‐based FIR using multiobjective improved Salp swarm optimization algorithm have been designed. The proposed method not only minimizes but also transition band, number sparsity, which...

Fuel Cells (FCs) are the most reliable sources as compared to like photovoltaic (PV) and wind based energy systems. Among various types of FCs, Polymer Electrolyte Membrane have been widely employed for low medium power applications due advantages high efficiency operating temperature. An equivalent mathematical model PEMFC with accurate parameters is essential analyzing its behavior characterizing voltage-current (V-I) relation grid integration. Traditional optimization techniques parameter...

Abstract In recent years, the diverse application in various disciplines and versatility has gained a huge interest for researchers to research on multi-sensor data fusion technology. The remote sensing process involves measurement recording of from scene. Thus, systems are known be powerful tool as they help earth's atmosphere surface monitor at different scales. faces serious challenge captured by multiple sensors heterogeneous. This affects efficient processing effectiveness that is being...

This study is focused on designing an expert system for home appliances by using wireless sensors which can help the common people to repair frequent problems of appliances. In general, are having very little knowledge about They used contact service providers or vendors solutions. But many times problem minor and still it consumes both money time because lack among this paper a combination with proposed solve such kind in framework installed different regions home. Whenever occurs any part...

In this paper, sparse FIR filter design using multiobjective bio geography based optimization is considered. The metaheuristic algorithm inspired by geographical science. It easier in implementation, robust and faster convergence. objective function of includes minimization pass band ripples stop ripples. tradeoff between the ripple cannot be solved a single therefore problem formulated to solve problem. evaluation proposed method divided into two parts. first part, designed with desired...

Speech is considered as the fundamental aspect of communication between human being, speech recognition stated overall process to convert sound into corresponding text based on a specific language. The implementation has supported individuals, business and others in order possess better interaction so realise its objectives. This been regarded collating message or some form meaning input received from voice another individual. analytics key part it converts individual digital store them...