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241 articles for “signal”
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A LOOK AT ANALOGUE SIGNALS
Abstract: Analogue signals are what classic communication and signal processing systems are built on. These signals are necessary for showing things that happen in the real world, such sound, light, and temperature. They change all the time. In electronics and communication, signals are necessary for sending information from one place to another. There are two main types of signals: analogue and digital. Analogue signals use continuous and smoothly changing waveforms to …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 17–27 Read article
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Recent Changes in the Signal System
Abstract: Recent years have seen big improvements in signal systems, thanks to fast progress in communication technologies, artificial intelligence, and hardware capabilities. Signal systems are very important for modern technology. They are the basis for many different uses, including telecommunications, transportation, industrial automation, and medical diagnostics. Signal systems are all about making, sending, processing, and understanding signals, whether they are analogue or digital, so that information may be shared easily. As …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Performance Analysis of Hybrid Signal Processing Methods in Modern Communication Networks
Abstract: Modern communication networks require high-speed, reliable, and energy-efficient signal transmission for applications such as wireless communication, satellite systems, Internet of Things (IoT), smart healthcare, and next-generation 5G/6G networks. Traditional signal processing techniques often face limitations in dynamic communication environments due to interference, noise, latency, and bandwidth constraints. Hybrid signal processing methods combine multiple techniques including analog-digital processing, adaptive filtering, beamforming, machine learning, and intelligent optimization to enhance communication performance and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–35 Read article
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A Study of Delta Modulation Techniques for Bandwidth- Efficient Signal Transmission
Abstract: Delta modulation is an important signal processing technique widely used in digital communication systems for efficient analog-to-digital signal conversion and bandwidth reduction. With the increasing demand for high-speed and low-complexity communication systems, bandwidth-efficient transmission methods have become essential in modern telecommunication networks. This study presents a comprehensive analysis of delta modulation techniques and their role in improving signal transmission efficiency in digital communication environments. The paper examines the operating principles …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 31–43 Read article
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Fault Diagnosis of Helical Gear Box Using Variational Mode Decomposition with Naïve Bayes and Bayes Net Classifiers through Vibration Signals
Abstract: Gear is a very important machine component which finds use in most of the machines which requires some sort of power transmission or reduction. Unattended faults in gears can be catastrophic for the machine leading to halts in production and consequent economic loss. The requirement for a gear fault detection and diagnosis system is thus emphasized. Vibration signals are often used in fault diagnosis applications along with Fast Fourier transform …
Published in International Journal of Manufacturing and Materials Processing · Vol. 1, Issue 1, 2014 · pp. 1–16 Read article
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AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge Devices
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
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Hybrid Digital–Analog Signal Processing Framework forEnhanced Data Transmission in Next-Generation Wireless Communication Systems
Abstract: The rapid advancement of next-generation wireless technologies such as 5G and 6G has created an increasing demand for high data rates, low latency, and energy-efficient communication systems. Conventional digital signal processing techniques, while flexible and accurate, often suffer from high computational complexity and power consumption, whereas analog signal processing provides low-latency and energy-efficient solutions but lacks adaptability and robustness. This paper proposes a novel hybrid digital–analog signal processing framework that …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 50–59 Read article
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Optimization of Traffic Signal Timing for Urban Mobility: A Case Study
Abstract: AbstractUrban traffic congestion is one of the most pressing challenges in modern cities, leading tosubstantial economic losses, environmental degradation, and reduced quality of life. Traditionalfixed-time traffic signal systems are often inadequate in addressing fluctuating traffic demands,contributing significantly to this congestion. This paper explores the optimization of traffic signaltiming using a genetic algorithm (GA) integrated with real-time traffic data to improve urbanmobility. A case study was conducted at three highly congested …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 10, Issue 2, 2024 · pp. 20–25 Read article
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Effect of encroaching vehicles on capacity of signalized intersections in mixed traffic conditions
Abstract: This paper estimates capacity of signalized intersections in heterogeneous traffic conditions considering the effect of encroaching vehicles. Accurate estimation of capacity of signalized intersections plays vital role in evaluating performance of whole road network. In the present paper two sets of saturation flow values are estimated separately by considering and not considering the effect of encroaching vehicles. Also, the capacity of the signalized intersections is found considering the effect of …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 6, Issue 1, 2020 · pp. 1–8 Read article
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A Low-Power Chopper-Stabilized Amplifier forHigh-Resolution Biomedical Signal Acquisition
Abstract: Biomedical signal acquisition systems such as ECG, EEG, and EMG require analog front-end (AFE) circuits capable of amplifying extremely small, low-frequency physiological signals in the presence of noise, interference, and motion-induced artifacts. These signals usually fall within the sub-millivolt range and are highly susceptible to low-frequency noise and amplifier offset. Chopper-stabilized amplifiers offer a compelling solution by suppressing flicker noise (1/f noise) and minimizing input- referred offset, especially for low-frequency …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 1–14 Read article
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Hybrid Signal Processing Framework for Seamless Integration of Analog and Digital Communication Systems in 6G Networks
Abstract: The next 6G phase of evolution of the communication system is expected to deliver data speedexceeding terabits per second, very low latency, and connectivity everywhere among heterogeneous devices. These performance goals can only be met through signal processing architecture paradigm shift. The paper will describe a Hybrid Signal Processing Framework (HSPF) which combines the analog and digital communication methods to leverage the complementary benefits of the two spheres. The framework …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 28–42 Read article
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Hybrid Signal Processing Framework for Seamless Integration of Analog and Digital Communication Systems in 6G Networks
Abstract: The next 6G phase of evolution of the communication system is expected to deliver data speed exceeding terabits per second, very low latency, and connectivity everywhere among heterogeneous devices. These performance goals can only be met through signal processing architecture paradigm shift. The paper will describe a Hybrid Signal Processing Framework (HSPF) which combines the analog and digital communication methods to leverage the complementary benefits of the two spheres. The …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 Read article
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TRAFFIC CONTROL SYSTEM: CASE STUDY OF BALEWADI HIGH STREET SIGNAL
Abstract: Abstract— The increasing demand for efficient traffic management in urban areas is crucial for enhancing safety, reducing congestion, and improving overall mobility. This study focuses on the design and implementation of an intelligent traffic control system at two critical intersections in Pune: Balewadi High Street Bridge and Lt. Baburao Habaji Saykar Chowk. The study identifies key traffic flow issues, including congestion, delay, and poor intersection geometry, and proposes the use …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 8–13 Read article
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Design and development of Economical Mobile signal jammer
Abstract: With mobile telephony reaching many people's budget, cell phones work for a wider userbase. Mobile technology is a technology type that is used primarily in cellularcommunication and other related aspects. The broad use of cell phones may cause someproblems such as irritating ringing sound or vibration that is not appreciated in some areas.One of many possibilities to disrupt these mobiles are by installing certain devices whichmake mobile phones obsolete. While …
Published in International Journal of Electrical Power System and Technology · Vol. 6, Issue 1, 2020 · pp. 10–17 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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The Cellphone Communication Crisis: Lost Signals, Dropped Calls
Abstract: Cellular communication is becoming an important feature of modern life offering immediate connectivity for personal, commercial and emergency communications. But poor network performance, lost calls, weak signals and limited coverage continue to be serious concerns for users around the world. The essay addresses the emerging crisis in cellular communication by assessing the main reasons for connectivity problems, such as network congestion, inadequate infrastructure, geographical obstacles, and technology constraints. The rapid …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 49–53 Read article
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Wavelet Analysis for the Calculation of FFT Length Using Digital Signal Processing
Abstract: Introduction of the microprocessor in the late 1970's and early 1980's meant digital signal processing (DSP) techniques could be used in a much wider range of applications. DSP has been used to transform and manipulate analog and digital signals. This paper inculcates the parameters and calculation of fast fourier transform (FFT) length using Spectral and Wavelet Analysis by using Texas Instruments (TMS320C6713) DSP starter kit. DSP chip – a programmable …
Published in International Journal of Analog Integrated Circuits · Vol. 1, Issue 2, 2015 · pp. 1–9 Read article
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Study of ECG Signal by Using Different Order Kaiser Window and Neural Network
Abstract: The morphology of ECG signal has been used for recognizing much variabilitys’s of heart activity, so it is very important to get the parameters of ECG signal. In this paper used to design different order of FIR filter and Kaiser window techniques and result train by neural network. Keywords: ECG data signal, FDA tool, nn tool
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 2, Issue 1, 2016 · pp. 15–19 Read article