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961 articles for “Signals”
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An Improved Power Line Interference Reduction Approach Based on Combination of Mirror Extension and IIR filtering Through a Data Driven Mechanism
Abstract: Electrocardiogram (ECG) is a clinical sign monitoring measurement of the cardiac abnormalities. Like other biomedical signals, the ECG signal is also contaminated by various kinds of noise and artifacts such as power line interference, base line wandering, muscle artifacts and electrode artifacts. The present paper proposes a scheme for power line interference (PLI) reduction from ECG signal. It makes use of the concept of mirror method, empirical mode decomposition (EMD) …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 13–21 Read article
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Application of Compressive Sensing for Sampling and Reconstruction of MRI Images
Abstract: In recent years, a new theory of compressive sensing has evolved which asserts that super resolved signals and images can be recovered with far fewer samples than that demanded by the Nyquist sampling theorem. It is required that the signal being sensed has a low information-rate meaning that it is sparse in original or some transform domain. Former approaches capture the complete signal and process it to extract the information. …
Published in Current Trends in Signal Processing · Vol. 6, Issue 2, 2016 · pp. 42–48 Read article
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An Efficient Recursive Least Square (ERLS) Algorithm for Spectral Estimation with the Aid of Wavelet and Artificial Intelligence
Abstract: The spectral estimation technique is used for time frequency signal analysis, speech processing, and other signal processing applications. Some drawbacks of RLS algorithm are that it requires high computational power and the output obtained is numerically instability. So, the spectral efficiency of the signal is affected and a power error occurs in the estimator. In this paper, an efficient recursive least square (ERLS) algorithm is proposed for improving the power …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 1–10 Read article
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Evaluation of Speech Recognition System for Security Purposes using Comparative Correlation Method
Abstract: Humans rely heavily on language for communication and most often, speech (oral) is one of the commonest means of communication. The speech recognition system is a smart system which grants access to users by recognizing the speech of the authorized user. Speech recognition is smart and precise in terms of authentication and validation. The problem with most security systems is imbalance pitch estimation, random noise and increment in theft due …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 1–9 Read article
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Evaluation of Optimal Parameters for Wire EDM Machine on En45A Alloy Steel using Taguchi and Grey Relational Analysis (GRA) Method
Abstract: The core goal of this research paper is to evaluate process parameters of wire electrical discharging machining and to find out the best parameter among the multiple responses given by machine. Wire cut machine is very accurate and precise machine which is actually manufactured to cut those material which have high strength, toughness, and hardness. This machine works on melting property; here spark is generated between the work piece and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 1, 2016 · pp. 11–21 Read article
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Power and Congestion Control for M.A.N.E.T using Cross-Layer Design for Future Technology
Abstract: AbstractRouting in M.A.N.E.T is challenging due to its navigation feature. The main causes of link failure are mobility, interference, and congestion. Mobility means that each node is free to move within its transport range. Interference occurs due to collision and hidden node. A hidden node means two nodes outside the radio range of each, simultaneously try to transfer data to an intermediate node, which lies in the radio range of …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 3, 2019 · pp. 1–12 Read article
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Survey of Techniques for Clustering and Classification of ECG using WEKA
Abstract: ECG analysis can be done for automatic detection of abnormality in cardiac activity. This can be helpful in generating alert for saving a precious life. Various techniques have been proposed in literature for feature detection and classification such as; fuzzy logic methods, artificial neural networks (ANN), and support vector machines (SVM), wavelet transform, Hilbert transform, etc. Recently, numerous researches and techniques have been developed for analyzing the ECG signal on …
Published in Journal of Microcontroller Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article
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Real-time Implementation of Binary Mask Algorithm for Hearing Prosthetics
Abstract: As the current speech enhancement algorithms can give results for improved speech audibility only. So, our main motivation is to develop speech enhancement algorithm that would improve performance in speech for hearing impaired persons. In this paper, an algorithm is presented for improving speech intelligibility. Various speech enhancement algorithms were developed but only some of them can be used for real time hearing aid applications. This proposed algorithm can be …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 1, 2016 · pp. 36–42 Read article
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ECG De-noising Techniques and Optimal Feature Selection Using Principle Component Analysis
Abstract: AbstractECG (Electrocardiography) is used to record and determine the condition of the heart. This paper provides an overview of various ECG de-noising techniques that are used to eliminate different type of noises; therefore, noise reduction procedure to be performed to eliminate different type of noises such as baseline wander, dc offset and high frequency interference, and then the pre-processed signal is used to extract features from the ECG signal. This …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 1, 2018 · pp. 14–20 Read article
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Review Paper on Issues of AODV and Study of Cross Layer Design in MANET
Abstract: Routing in mobile ad hoc network (MANET) is challenging due to its mobility feature. The main reasons of link failures are mobility, interference and congestion. Mobility means, each node is free to move within its transmission range. Interference occurs due to collision and hidden nodes. Signal strength is considered as cross layer interaction parameter for implementing cross layer design (CLD). Received signal strength is taken from physical layer and is …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 2, 2016 · pp. 37–43 Read article
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A Visible Light-based Indoor Navigation and Localization Solution for Visually Criticized Users
Abstract: Visible Light Communication is seen as a promising option for 5G communication because to its characteristics such as operating in a non-licensed frequency spectrum, offering high bandwidth, using minimal power, and being immune to electromagnetic interference. This property allows light waves to transmit data faster and convey more information, making VLC a promising solution for providing universal electronic navigation assistance to visually challenged individuals. VLC utilizes the visible light spectrum …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 2, 2023 · pp. 22–34 Read article
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Review on Modern Electronics Communication System and Electromagnetic Spectrum used for Wireless Communication
Abstract: Electronic communication is a modern type of communication system. In modern Electronic communication, by using Electronic instruments or devices we can communicate with each other very easy and fast. For designing instruments or devices, numbers of Electronic circuits are used. Communication takes place by transmitting and receiving information signal by means of Chanel or medium. Information signal like voice, images, videos, different signals, different data, etc are we can communicate …
Published in Trends in Opto-electro & Optical Communication · Vol. 9, Issue 2, 2019 · pp. 25–28 Read article
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Power Spectral Study of Heart Rate Variability Time Series by the Adaptive Modified Continuous Morlet Wavelet Transform
Abstract: In this paper, a newly developed method referred as adaptive modified continuous Morlet wavelet transform has been proposed to improve the energy concentration in the time-frequency domain. The improvement is achieved by introducing the shape parameter to the Morlet function that is known as modified Morlet function. To make it adaptive, the modified Morlet function was optimized by concentration measure based on automatic determination algorithm. The proposed method was validated …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 5–20 Read article
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Coverage Driven Verification of Synchronous FIFO using UVM
Abstract: FIFO (first in first out) is a memory array in which the data written first into the memory will be read first with the help of the control signals read and write where the control signal write is used to write the data into the memory and the control signal read is used to read the data from the memory. To avoid the memory overflow and to know that whether …
Published in Recent Trends in Electronics Communication Systems Read article
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Reduce Traffic Congestion Using Automated Traffic Navigation System
Abstract: The concept of activity routing without reliance on traditional activity signals is gaining significant traction. This innovative approach aims to enhance urban vehicular movement by eliminating the need for conventional traffic signal systems. This summary delves into the intricate realm of signal-free activity routing, incorporating advanced technologies such as artificial intelligence, machine learning, and sensor networks. The benefits, including reduced congestion, increased fuel efficiency, and improved traffic flow, are thoroughly …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 34–40 Read article
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ENHANCING CONTROL WITH EMBEDDED SSVEP-BCI
Abstract: Brain–Computer Interface (BCI) technology establishes a direct communication link between the human brain and external devices without relying on muscular activity. Among various BCI paradigms, the Steady-State Visually Evoked Potential (SSVEP)-based approach has gained significant attention due to its high signal-to-noise ratio, minimal user training, and suitability for real-time applications. However, implementing such systems on embedded hardware presents challenges such as limited computational resources, signal noise, and latency in processing. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 41–52 Read article
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A Study on Recent Trends in Chemical Sensors for Detecting Toxic Materials
Abstract: Poisonous materials, such as mutagenic, carcinogenic, and poisonous compounds, are widely produced as a result of industrial development. Such materials continue to be hazardous to human health despite stringent management and control procedures. As a result, practical chemical sensors—such as optical, electrochemical, nanomaterial-based, and biological system-based sensors—are needed for the monitoring of dangerous chemicals. For the detection of harmful compounds, numerous new and existing chemical sensors are being created, along …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 26–35 Read article
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Fault Diagnosis of Air Compressor (AC) System using Local Mean Decomposition (LMD) and Logistic Regression (LR) Machine Learning Classifier
Abstract: This article presents a detailed and systematic procedure for performing fault diagnosis in an air compressor (AC) system by analyzing the audio signals generated during its operation. The analysis covers both normal (healthy) conditions and seven distinct types of faults, including bearing failure, flywheel malfunction, inlet valve leakage, outlet valve leakage, non-return valve failure, piston ring defect, and rider belt issues. To acquire the acoustic signals, the researchers utilized a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 416–427 Read article
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Advanced Polymer Nanocomposite EEG Electrodes for Enhanced Epileptic Seizure Detection: A Comparative Analysis
Abstract: Electroencephalography (EEG) has been very important in the detection of epileptic seizures so as to enable successful diagnosis, surveillance and therapy of epilepsy. Nevertheless, EEG electrodes based on traditional metals may be limited due to high or high contact impedance, lack of biocompatibility, discomfort to patients and prone to motion artifacts, which interfere with signal quality and diagnostic adequacy. The recent progress in material science has resulted in coming up …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article