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961 articles for “Signals”
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Audio Signal and Video Signal Plotted with respect to Each Other on a Graph Paper Using X-Y Plotter and Further Audio Signal Listen at Tape Recorder and Video Signal Display at Color TV Monitor
Abstract: The study presents a concept of designing a Plotter circuit that becomes capable to plot two signals (Audio signal as well as Video signal) with respect to each other at a time on the single graph paper. Here, two signals are: one is the audio signal from singer (Mr. Udit Narayan) song (Papa kehte hey) and another Video signal of CAR shape created using C-programming at computer Graphics, these two …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 2, 2022 · pp. 1–9 Read article
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Study of Signal Processing Using Applications of Fourier Series
Abstract: This essay discusses the use of the Fourier series in the field of signal processing. It will include the results of various tests performed on the variable and the results it produces in the form of graphical diagrams. In order to acquire the right information exchange, we have observed a variety of distinct frequency pattern graphs. Also, the stated graph of filtered signal provides unique pattern that may find application …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 3, 2022 · pp. 35–43 Read article
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Vector Signal Transceiver (VST) in LabVIEW: A Review
Abstract: AbstractOver the past few decades, the increasingly popular architecture of RF systems with software has become increasingly popular. Almost every commercial automated RF system (COTS) today uses application software for communication via the bus interface with the device. As the complexity of radio frequency applications is increasing, engineers are constantly faced with the dilemma of increasing functionality without increasing testing time and, ultimately, to verify the cost. Although improvements in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 1, 2018 · pp. 1–5 Read article
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Computational Approaches to Understanding Cellular Signaling Pathways
Abstract: Cellular signaling pathways are fundamental in regulating vital processes, such as cell growth, differentiation, and apoptosis. The intricate and interconnected nature of these signaling networks requires sophisticated methods for their analysis. Computational approaches, including mathematical modeling, network analysis, and machine learning, have revolutionized the way researchers analyze and simulate cellular signaling. This article provides a comprehensive overview of computational strategies employed to model signaling pathways, with a focus on integrating …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 8–13 Read article
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IOT based Smart Traffic Signal Violation Monitoring System using Edge Computing
Abstract: Monitoring the traffic signal surveillance camera by a group of police administrators can be a daunting task due to the sheer volume of data(videos)that must be collected and analyzed. In developing countries such as India, traffic police department need a easy way to catch the vehicle owners who have violated the traffic signal rules. Currently, they are collecting the video near the traffic signal for 24*7 and the administrators are …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 2, 2020 · pp. 10–16 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
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Traffic Signal Ambulance for Fastag Radio Wave Signal
Abstract: Radio frequency identification (RFID) tag communication with electrical reader E-reader (comers) connect to larger network based on data particular (RFTD), traffic congesting problem is a phenomena huge impact to the transportation system in country. This couses many problem spacially when there are emergency cuses at traffic light interections which are alwass busy with many vechicles. A traffic light controller system is designed in order to solve problems.
Published in Current Trends in Signal Processing · Vol. 11, Issue 1, 2021 · pp. 30–35 Read article
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Pathloss and Coverage Analysis of FM Signals for Terrestrial Communication Design over Akure, Nigeria
Abstract: Accurate analysis of Free Space Loss (FSL) of electromagnetic radiations plays significant roles in the design and planning of terrestrial communication system at radio wave and microwave frequencies. Hence, it remains important to continuously evaluate the dependence of radio waves signal strength on the properties of the propagating medium. This work employed drive test technique and free space loss analysis of some Frequency-Modulated (FM) channels in Akure, Ondo State, Nigeria, …
Published in Journal of Microwave Engineering and Technologies · Vol. 10, Issue 2, 2023 · pp. 8–21 Read article
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Triangular Waveform Generation using Mixed Signal Modeling
Abstract: The development of modeling languages such as Verilog-HDL and Verilog-AMS allows the behavior of analogue and mixed signal circuits to be described with a more lucid way as compared to the conventional circuit-level simulators. Mixed-signal simulators are thus providing a new platform for more efficient modeling of mixed signal that contains both the analogue and discrete features which was not previously possible. The non-linear characteristics of many circuits are still …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 2, 2014 · pp. 8–17 Read article
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An Innovative Approach of the Analysis of the Low Noise of a CMOS-Based Amplifier for Analog Signal-based Applications
Abstract: A low-noise amplifier (LNA), which is based on the cascode feedback methodology, has been commonly used for various wireless protocol-based network applications nowadays. It is so because this topology ensures that the low-noise amplifier (LNA) can achieve quite a high performance and thus, provides a high qualitative output. This amplifier is operated with a low voltage supply in the range of few volts that requires that the impedances of the …
Published in Journal of VLSI Design Tools and Technology · Vol. 2, Issue 1-2-3, 2012 · pp. 7–15 Read article
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To Diagnose the Broken Tooth Fault, Signal Processing Techniques and Machine Learning Technique are Applied
Abstract: The objective of this research is to study the diagnosis of broken tooth fault of spur gear using vibration signals with signal processing and machine learning techniques. In this study, experiment has been performed and analyse on the broken tooth fault and healthy spur gear conditions. This paper describes two approaches to signal processing techniques from acquired vibration signals, which are time-domain and frequency domain, involving statistical characteristics of vibration …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 45–53 Read article
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Algebraic Foundations of Generalized Signal Processing: A Unified Approach Across Domains
Abstract: Using the techniques of algebra, notably polynomial algebras and modules, algebraic signal processing (ASP) is a contemporary, abstract framework that generalizes conventional signal processing— including Fourier analysis, filtering, and convolution. The notion is to use algebraic structures to explain signals, systems, and transformations such that ideas may be understood and generalized across many domains, including time, space, graph, or group. A unifying theoretical framework called ASP generalizes classical signal processing …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 33–44 Read article
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From Noise to Insight: An Academic Study of Electrical Signal Processing
Abstract: Electrical signal processing is very important for turning raw, often noisy data into useful and actionable information. This article gives a simple and easy-to-understand summary of the basic ideas and methods used in electrical signal processing, such as filtering, signal representation, modulation, and spectrum analysis. The focus is on how to effectively eliminate noise and interference to improve the quality and dependability of signals. The conversation connects ideas from theory …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 10–21 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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Elimination of Noise on ECG Signal Using Adaptive Filter
Abstract: There are various biomedical signals present in the human body, by examining these biomedical signal one can check the health condition of a person who is clinically fit or not. Electrocardiogram (ECG) is one of them. ECG plays an important role in the primary diagnosis, prognosis and survival analysis of heart diseases. This ECG signal is corrupted by various noises like power line interference, baseline wandering etc. One way to …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 9–15 Read article
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Spike Detection and Processing of TDEM Signals using Wavelet Transform
Abstract: This paper presents a new method for spike detection, parameterization and processing in ground based Time Domain Electromagnetic (TDEM) signals. Time Domain Electromagnetic methods are used for mineral exploration by sub-surface conductivity measurement of Earth. The Earth’s response measured using inductive sensors are contaminated by spikes in form of sferics and due to load and phase shift in power distribution lines. The spikes present in the measured signal can significantly …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 82–92 Read article
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Adaptive Drift Correction in Polymer-Based Wearable Biosensors via Data-Driven Signal Modeling
Abstract: Polymer-based wearable biosensors have emerged as a promising technology for continuous health monitoring due to their mechanical flexibility, biocompatibility, and suitability for long-term physiological interfacing. However, prolonged exposure to biofluids, environmental variability, and mechanical deformation introduces signal drift, which significantly degrades measurement accuracy and limits clinical reliability. This paper presents a data-driven methodology for compensating signal drift in polymer-based wearable biosensors using adaptive signal processing and machine learning techniques. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 131–139 Read article
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Non-invasive Extraction of Fetal Electrocardiogram and Maternal Electrocardiogram from Mixed Source Signal
Abstract: This paper is to bring in self-regulating methodology to obtain Fetal Electrocardiogram (FECG) and Maternal Electrocardiogram (MECG) from the mixed source signal. The Abdominal Electrocardiogram (AECG) is treated as an input signal to achieve the above-mentioned goal. FECG and MECG can be differentiated according to the power of a signal. FECG are weak signals as compared to that of MECG. But, FECG signals are engrossed in various other interference signals …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 16–22 Read article
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Denoising of XRD Signals
Abstract: In this paper, different types of signal are discussed. Also various methods of signal transformation are studied. A detailed study of different wavelet families is done. By using different signal transformation methods, XRD signals are denoised here. Original and denoised signal for different wavelet families are plotted on the basis of their best threshold values. Keywords: Signals, denoising, wavelets, fourier transform, threshold value Cite this ArticleJyoti Yadav. Denoising of XRD …
Published in Journal of Semiconductor Devices and Circuits · Vol. 4, Issue 3, 2017 · pp. 1–10 Read article
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Signal Identification of Differential STBC-OFDM System
Abstract: AbstractBlind recognition of communication parameters is a research topic of high importance for both military and civilian communication systems. Signal identification has emerged as an enabling technology for intelligent wireless communication systems with applications in military and commercial fields. Several identification algorithms are proposed for multiple antenna (MA) systems with multicarrier (MC) transmissions. The previously investigations are mostly limited to space-time block code (STBC) systems and space frequency block coding …
Published in Recent Trends in Electronics Communication Systems · Vol. 5, Issue 2, 2018 · pp. 21–27 Read article