Introduction With the revolution in contemporary medicines, medical imaging techniques such as magnetic resonance (MRI), ultrasound, CT scan, etc. have been widely employed for more accurate and precise pathological variations well diagnosis. Medical based diagnosis is nonin

Adaptive systems have been used in a wide range of applications for almost four decades. It includes adaptive equalization, noise cancellation, system Identification, Inverse modeling, linear prediction etc. is often assume to be random process. This paper describes the concept neural network implementation cancelling using Least-Mean Square filter algorithm. In this, coefficients are adjusted by an analog instead numerical algorithms. Due its real time processing capabilities, can optimize...

The phenomenon of compact model has become an extensive area research. This article presents a mixed approach for order reduction (MOR) single input and output system (SISO). technique is based on Padé approximation which gives equal emphasis to time moments Markov parameters nature-based particle swarm optimization (PSO) approach. In this method, numerator derived using PSO denominator approximation. worthiness effectiveness the method are investigated in terms integral square error (ISE)....

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 presents a rule-based fuzzy logic controller applied to scalar closed loop Volts/Hz induction motor (IM) control with slip regulation and its simulation results. The IM is model in terms of d-q windings, synchronous frame associated the frequency ωs stator excitation. results obtained are interesting, considering presence strong non-linearity model. A for speed Induction developed by using Fuzzy MATLAB Toolbox SIMULINK. also introduced system keeping be constant when load varies....

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...

A hybrid approach for model order reduction is proposed in this paper. The approximants denominator polynomial are derived by matching both Markov parameters and Time moments, whereas numerator derivation error minimization done using Fminsearch algorithm. efficiency of the method can be investigated terms closeness response reduced with respect to that higher original a comparison integral square as well.

Introduction To acquire good quality and clear image is always a challenging task. Therefore development of new improved techniques for degradation attract the researchers.1 Diagnosis through digital imaging scheme plays dominant role in medical research, clinical practices, etc. Us

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...

X-Ray is boon for medical practitioner as it helps in identifying the patient situation. Noise disturbance which gets on images easily (due to blood flow problem, due internal instruments etc) and alter image with unknown parameter. The aim of this paper improve quality using various linear filters. This an overview effective filtering method obtain enhanced or improved from distorted image. Experimental results will illustrate performance all filters studied.

Model order reduction (MOR) has been an emergent field of research in control theory and numerical analysis. This paper presents a Padé approximation based technique i.e. matching both time moments Markov parameters for single input output (SISO) system.

In this paper a mixed approach for model order reduction is proposed. The proposed combines eigen spectrum analysis and Pade based moment matching technique reduction. denominator of the higher system(HOS) derived using whereas numerator dynamics are determined which utilizes both time Markov parameters. efficiency powerfulness method evaluated in terms performance index known as integral square error(ISE). This guarantees stability if original system stable.

Cognitive Radio (CR) is an emerging and fascinating wireless technology for the opportunistic use of under spectrum that promises to change future technological trends forever if employed in a proper way. For communication most prevailing job cognitive radio performs enthusiastically search portions frequency band spectrum. Hence at every node radio, network reinvigorated by analyser. This paper includes, introduction filter bank, contrivance CR systems sensing. Numerous aspects analyser...

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...

Image denoising is a vital problem in medical image processing. During acquisition process images are often degraded. The degradation may involve blurring, information loss due to noises, sampling and quantization effect. Disturbances occurs flow of blood body, use interior devices, etc. which results altering the with unknown parameters. In this paper performance nonlinear filtering methods obtain improved from distorted compared carefully examined on basis various parameters viz. PSNR,...

Metaheuristic algorithms have made an unprecedented impact on model order reduction (MOR). Almost every year new algorithm emerges with extended literature. These nature-based metaheuristic attracted researchers to apply these for finding reduced approximants of higher system. This paper proposes a mixed approach based BAT (BA) which is inspired by echolocation microbats and Padé approximation matching both time moments Markov parameters. Further the efficiency method investigated in terms...

Background /Objectives: A novel approach for image encryption using chaotic functions and denoising encrypted adaptive weighted median filter is proposed. The proposed method implemented quality improvement of biometric images. Methods/Statistical Analysis: techniques are simulated MATLAB platform. Qualitative quantitative statistical analyses have been done performance parameters such as Peak Signal to Noise Ratio, Mean Square Error, Structural Similarity Index. Denoising images computed...