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961 articles for “Signals”
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FPGA-based Multichannel Digital Duty-Cycle Modulation and Application to Simultaneous Generation of Analog Signals
Abstract: The DCM (duty-cycle modulation) is used in industrial electronics as a special technique for producing switching time-varying periodic waves, with variable pulse width and modulation period. As an implication, unlike the fixed period of a PWM wave, the cyclic ratio of a DCM signal changes as a function of the modulating input according to a known function. However, most existing research works related to DCM-based instrumentation systems, are limited to …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 1, 2017 · pp. 23–35 Read article
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Estimation of Power System Stabilizer Parameters Using Swarm Intelligence Techniques to Improve Small Signal Stability of Power System
Abstract: Interconnection of the power system utilities and grids presents a formidable challenge in front of design engineers. With the interconnections, power system has emerged as a more complex and nonlinear system. In recent years, small signal stability issues have gained much importance along with the conventional transient stability issues. Transient stability of the power system can be achieved with high gain and fast acting automatic voltage regulators (AVRs). However, AVRs …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 16–25 Read article
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Evaluation of OTA Amplifier Using EEG Signals
Abstract: AbstractOver the last few years, there has been a tremendous exploration in VLSI industries in response to scaling trends towards deep submicron technology. Demand for low power and efficient amplification are rising in day-to-day life. In the process of scaling the CMOS nanometer demand low supply, which is helped to design digital circuit realization at very low power consumption. But it is not valid for analog circuit realization. The related …
Published in Trends in Opto-electro & Optical Communication · Vol. 10, Issue 2, 2020 · pp. 5–14 Read article
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Headway Compression during Queue Discharge at Signalized Intersections under Mixed Traffic Condition
Abstract: The evaluation of capacity at signalized intersection is an important component in the planning, design, operation and management of transportation system. Presently, the methodologies available for the estimation of capacity of signalized intersections are based on the concept of saturation flow(s). Saturation flow is the steady maximum queue discharge rate after the green onset. According to the U.S. Highway Capacity Manual, this steady maximum rate is generally achieved after the …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 2, 2014 · pp. 15–22 Read article
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Exploiting Phase of Speech Signal for Speaker Recognition
Abstract: Abstract—Performance of speaker recognition system with feature based on temporal phase is presented in this paper. In the state of the art spectral feature, Mel Frequency Cepstal Coefficient (MFCC) only magnitude of the Fourier Transform of speech signal is considered while phase is ignored. The cepstral coefficients extracted from temporal phase (MFTPC) of speech signal are used as features for speaker recognition system. The performance of MFTPC feature is evaluated …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 81–87 Read article
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Synthesis of Brassinosteroid with Signaling and Response to Abiotic Stress: Review
Abstract: Brassinosteroids (BRs) are a group of plant steroid hormones with multiple roles in plant growth, development, and responses to stresses and signaling functions to promote cell expansion and cell division and plays a role in etiolation and reproduction. The entire synthetic pathway of sterol biosynthesis is brassinolide (BL) from the general campesterol synthesis pathway in Arabidopsis. Campesterol converts to BL in two different ways campesterol dependent or campesterol independent pathway. …
Published in Research & Reviews : Journal of Botany Read article
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Human Deep Skin Surface Vibration Frequency Detection from CT and DT Signals Using Genetic Algorithms
Abstract: To diagnose respiratory problems early on, a contactless, non-invasive, real-time assessment of human vibration is a crucial prerequisite. Optoelectronic plethysmography (OEP) and the forced oscillation technique (FOT), are two widely utilized methodologies, depending on variations in each patient’s local chest impedance. Calibration of the devices before each measurement is hence the primary problem of these approaches. This report presents a simulation-based analysis to assess the effectiveness of the CT and …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 9–16 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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A Combined ECG and PPG Signal Powered Artificial Intelligence-Based Prediction Model for Stroke
Abstract: Stroke is one of the most common causes of morbidity and mortality around the world, and emphasis on prevention and early detection strategies cannot be overstated. This review aims to integrate techniques of artificial intelligence with electrocardiogram and photoplethysmogram signals to enhance stroke prediction and monitoring of cardiovascular health. All in all, the application of artificial intelligence that incorporates machine learning, deep learning, or hybrid models gives robust tools toward …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
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Seasonal Variation of VLF Radio wave Signal Strength at 19.8 KHz Received at Khatav India (16o46ʹN, 75o53ʹE)
Abstract: This research is a detailed study of the seasonal behavior of the VLF field strength of the waves transmitted by VLF station NWC Australia (19.8 kHz). This research was carried out by using the VLF Field Strength Monitoring System located at Khatav, India (16°46ʹN, 75°53ʹE) during the period of August 2009 to July 2010. This study explores how the ionosphere and VLF radio waves react to the solar radiation. In …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 1–9 Read article
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Spectral Mapping and Tracking Error of MBOC signal and Wavelet based GNSS receiver
Abstract: This research paper delves into the historical evolution and contemporary state of the art in navigation technologies, emphasizing the paramount importance of reliable positioning systems. Tracing the journey from ancient primitive methods to the present-day Global Navigation Satellite Systems (GNSS), with a focus on the Global Positioning System (GPS), the paper explores the diverse instruments and methods developed by civilizations throughout history to determine location and navigate effectively. The main …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 50–65 Read article
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A Review for Performance Improvement (BER, PAPR) of OFDM Signals by using Various Modulation Techniques & Selective Mapping Companding, Partial Transmit Sequences Companding Techniques
Abstract: The OFDM may well be a multicarrier modulation technique has proved itself at intervals the sector of high-speed communication sanctioning current technologies to attain a high transmission rate. It’s used in most communication standards. One in each of the most drawbacks of OFDM modulation is that the sturdy PAPR of the following signals. This characteristic makes OFDM signals really sensitive to the nonlinearities of analog parts, notably those of power …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 2, 2019 · pp. 26–33 Read article
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Review of Machine Technique for Prediction of Depression Using EEG Signal
Abstract: Depression is a prevalent mental health disorder that affects millions worldwide, often leading to significant personal and societal burdens. Traditional diagnostic methods for depression rely heavily on subjective assessments, which can be prone to bias and inconsistency. In recent years, there has been a growing interest in utilizing machine learning techniques to predict depression based onelectroencephalogram (EEG) signals, offering a promising avenue for more objective and reliable diagnosis. This review …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 3, 2023 · pp. 23–29 Read article
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Fourier Transform and Optical Analogy of the Sharply Pulsed E.P. Seismic Signals Propagating Through The Core of Earth
Abstract: AbstractLike light rays that encounter a water surface, seismic rays are governed by the laws of reflection and refraction. Eventually, there exist wave properties within these. Due to rigorous BIS (breakdown of integrated system) processes, severe consequences like earthquakes occur. The waves that are generated in an earthquake down into the interior of the earth are called earthquake waves or seismic waves. In the present paper, the author will consider …
Published in Trends in Opto-electro & Optical Communication · Vol. 5, Issue 1, 2015 · pp. 9–12 Read article
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Analysis of M-ary Signaling for Weak Turbulence Regime in FSO Communication System
Abstract: Abstract: The need for high data rate LOS communication is accomplished using the Free Space Optical communication. Being a very cost-effective approach, it contributes to the easy set-up and deployment of point to point terrestrial link. It transmits the light signal in free space channel (air, vacuum etc.) using LASERs or LEDs and received via photodetector. In this paper, the channel is modelled using Lognormal turbulence model. This channel model …
Published in Trends in Opto-electro & Optical Communication · Vol. 9, Issue 1, 2019 · pp. 24–31 Read article
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Performance Analysis of Wireless Propagation Model to Improve Signal Strength and BER for Wireless Mobile Network
Abstract: AbstractWhenever we setup a network, environment properties such as fading, scattering etc. plays a very important role in choosing spectrum and method of propagation. The spectrum deals with frequency range suitable for communication in a particular environment, and the propagation method deal with channel selection, channel sensing and to perform quality communication throughout the network. To achieve quality output from the network, it is necessary to define network under different …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 2, 2015 · pp. 1–7 Read article
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Bandwidth Extension of Speech Signal Artificially & Transmission & Coding for Wireless Communication
Abstract: AbstractIn today’s next generation wireless communication, decoded speech quality at recipient side initiate quiet and slim; mainly recognized to intrinsic band limitation (300-3400 Hz). so as to increase clearness and genuineness of improved speech signal. Narrowband speech coders be supposed to promote to wideband coders supports bandwidth of 50-7000Hz. extensive time duration has been left for advancement from narrowband to fully wideband well-suited systems. Many smart devices at the present …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 111–116 Read article
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Minimising Round Road Trip Using Automated Traffic Navigation System
Abstract: The concept of traffic navigation without the reliance on conventional traffic signals is gaining prominence. This novel approach seeks to enhance urban vehicular movement by obviating the need for traditional signal systems. This summary delves into the multifaceted realm of signal-free traffic navigation, encompassing cutting-edge technologies like artificial intelligence, machine learning, and sensor arrays. The advantages, including congestion reduction, heightened fuel efficiency, and enhanced traffic fluidity, are expounded upon. Moreover, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 3, 2023 · pp. 10–14 Read article
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Lithium Induces Lower Specific Activity and Expression of Acetylcholinesterase in Old Aged Rats Brain and Liver for the Regulation of Acetyl Choline Cellular Signaling
Abstract: Acetylcholinesterase (AChE) acts on acetylcholine (ACh) to terminate its actions on the synaptic cleft by cleaving Ach to choline and acetate. This directly correlates with memory dysfunction and loss of cognitive functions in Alzheimer’s disease (AD) patients which was a continuous decline of the cholinergic neurotransmission in cortical and other regions of human brain. Specific activity and expression for AChEwere determined in LiCl2 treated young and old male wistar rat's …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 2, 2018 · pp. 1–12 Read article
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Ventricular Arrhythmia Detection Techniques for ECG Signal: A Survey Approach
Abstract: Electrocardiogram (ECG) represents the electrical activity of the heart and is used to measure the rate and regularity of heartbeats. In this paper we propose a method for an Independent Component Analysis (ICA) based detection and classification of the ventricular arrhythmia. The malignant ventricular arrhythmia database from www.physionet.org/physiobank/database/vfdb has been utilized for evaluating the algorithm over MATLAB interface. This scheme assimilates ICA and probabilistic neural network for classifying critical arrhythmia …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 5, Issue 1, 2015 · pp. 25–30 Read article