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Design and Analysis of a Fifth Order Low Pass Gm-C Filter for Seizure Detection
Electroencephalogram (EEG) signals have weak amplitude and have susceptibility to noise from supplies, electrodes and added sources. The preamplifier...
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Reduction of Total Harmonic Distortion of Bus Voltage in a Single-Phase Long-Distance Distribution Lines by a Z-Source Harmonic Power Filter Unit
This study deals with a Z-HPU (Z-source harmonic power filter unit) to suppress propagation of voltage harmonics to each bus due to resonance between...
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Design and application of a novel low-voltage low-power OTA using signal attenuation technique for high linearity
This paper presents static and dynamic theoretical analysis of a new Operational Transconductance Amplifier (OTA) dedicated to low-voltage and...
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Adaptive recursive system identification using optimally tuned Kalman filter by the metaheuristic algorithm
This paper developed a new and efficient approach, the metaheuristic optimisation approach based on the Kalman filter (KF), to accurately identify...
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An Efficient Implementation of Programmable IIR Filter for FPGA
The reduced complexity design of the IIR filter is discussed in this paper. The use of the IIR filter has been variably increasing during the present...
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Design of Trisection Based Band Pass Filter for 5g Communication
In contemporary microwave channels like broadband satellite technology and green RF, electromagnetic radiation (RF) disturbance is a crucial factor....
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Automated Classification of Woodball Swinging Phases from Inertial Measurement Unit Using Least Square Method
Woodball is a rising regular sport that garnered a lot of attention from people with different ages and genders due to its easy playstyles and...
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Noise Suppressing Cascaded IIR Elliptic Filter Design for ECG Signals
Electrocardiogram (ECG) is the common clinical observation to detect heart abnormalities. ECG signal is often contaminated with noises during...
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Classification of Four-Class Motor-Imagery Data for Brain-Computer Interfaces
Brain-computer interface (BCI) provides opportunities for patients with severe motor impairment to regain their motor controls by decoding and...
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Laplace Transformation in Continuous-Time LTI Systems
In this chapter, we deal with the one-sided Laplace transformation, widely applied in analog systems. We recall in brief the definition and basic...
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Designing series of fractional-order elements
In this paper we propose an efficient approach to design fractional-order elements’ (FOEs) series, while using a very limited set of “seed” FOEs. The...
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Fractional-order analysis of thin magnetostrictive actuators (TMA): analytical solutions, rich dynamics and control
In this paper, a fractional-order version of TMA is presented. Using multiple time scale method, analytical solutions are obtained in order to point...
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Algorithm for Simplifying Procedures for Digital Measurement of Signal Parameters and Reducing Signal Errors
In the article, the determination of the number of digital measurements of integral parameters of signals and the error that occurs during the...
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Development of EEG-Based System to Identify Student Learning Attention Ability
It cannot be denied that teaching and learning are vital in education systems regardless of the level of education either in primary school,...
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Decoding Motor Decision-Making Patterns: An EEG and EMG Connectivity Modeling Approach
Cognitive workload is a widely used concept for addressing the balance between task demand and the subject's available resources to complete the...
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Augmenting ECG Data with Multiple Filters for a Better Emotion Recognition System
A physiological-based emotion recognition system (ERS) with a unimodal approach such as an electrocardiogram (ECG) is not as popular compared to a...
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System Identification of a Six-Story Lightweight Timber Frame Building Using Ambient Vibration Measurements at Different Environmental Conditions
Ambient vibrations of a six-story lightweight timber frame building were measured under different environmental conditions in order to obtain the...
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Brunnstrom Stage Evaluation Using a Single Sensor for Hemiplegic Upper-Extremities Based on Deep Features
Motor function Evaluation is an indispensable part of rehabilitation treatment for stroke patients. As a rule, this process is manually performed by...
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Abnormal Signals Elimination in Hardness Evaluation Using Barkhausen Noise and Tangential Magnetic Field
In this paper, magnetic Barkhausen noise (MBN) and tangential magnetic field (TMF) are employed to quantitatively predict the hardness of bearing...
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Automating the Frequency Domain Decomposition Technique Using the Modal Assurance Criterion
Infrastructures are degrading rapidly, which necessitates the application of automated dynamic characterization in damage identification schemes. The...