Search
100 articles for “Signal Processing”
-
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
-
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
-
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
-
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
-
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
-
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
-
A Comprehensive Approach to Design and Implement a Fast FIR Filter for Signal Processing Applications
Abstract: Signal processing, communications, and computers all rely heavily on the field of digital signal processing (DSP). In DSP important application is Finite impulse response (FIR) filter. The initial objective of this inquiry is to present an approach for an improved framework of a FIR digital filter through the programme level to the hardware level. It influences the decision on design approaches, architecture, and the efficient use of hardware. The window …
Published in International Journal of Microwave Engineering and Technology · Vol. 9, Issue 1, 2023 · pp. 1–19 Read article
-
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
-
Missile Tracking and Detection Using SAR and MIMO Radar Signal Processing
Abstract: This paper presents a missile tracking and detection using SAR and MIMO Radar signal processing. SAR is a technique for computing high-resolution radar returns that exceed the traditional resolution limits imposed by the physical size, or aperture, of an antenna. By using Kaiser Window, the trade off exists between the main lobe width and the side lobe amplitude. Kalman filter is used to minimizing the maximum error between the frequency …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 1, Issue 1, 2016 · pp. 39–47 Read article
-
Development of an ATmega328-Based Oscilloscope for Quick Field Measurements
Abstract: Abstract: This paper presents an ATmega328 microcontroller-based oscilloscope developed with the ATmega328 microcontroller, designed for efficient signal analysis in a compact format. Featuring a 128x64 OLED display, multiple input channels, and integrated ADC for accurate signal sampling, the oscilloscope allows users to measure frequency, amplitude, and period effectively. Oscilloscopes are crucial for troubleshooting, diagnostics, and system design because they enable researchers and engineers to examine the properties of electrical systems, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 2, 2024 Read article
-
Facial Emotion Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human-computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using Convolutional Neural Networks (or CNNs) and Haar Cascade classifiers. The suggested method uses CNN to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing the input photos, followed by face detection …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article
-
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
-
Modern Technology Analog Circuits:Applications and Challenges - An Exploration
Abstract: An analog circuit is an electronic system that processes signals that vary continuously. The signals reflect physical quantities, such as sound, temperature or light, as proportionate levels of voltage or current. However, they are not digital circuits. They operate on a continuous spectrum. They use resistors, capacitors, and transistors, and can amplify, filter, or otherwise alter signals. Analog circuits are still a vital feature of electronic systems today, allowing continuous-time …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 14–23 Read article
-
Facial Emotion-Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human–computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using convolutional neural networks and Haar Cascade classifiers. The suggested method uses convolutional neural network to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing of the input photos, followed by face …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
-
Applications of Trans-Conductance Amplifier in CMOS
Abstract: Abstract: An output voltage proportionate to an input current is produced by the operating trans conductance amplifier. In this regard, it is equivalent to the fundamental purpose of the solid-state devices that make it possible. The operational transconductance amplifier (OTA) is a very adaptable and essential part of contemporary analog and mixed-signal electronic circuits because it produces an output voltage proportionate to an input current. With the extra advantage of …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 2, 2025 · pp. 1–6 Read article
-
A Review on Touchless Calling Bell
Abstract: On the principle of proximity or motion detection using an ultrasonic sensor or infrared (IR) sensor. In the modern world, automation and cleanliness are essential for guaranteeing ease and safety in our day-to-day activities. The Touchless Calling Bell is a modern and innovative device designed to eliminate the need for physical contact while operating a doorbell. Traditional doorbells require users to press a switch manually, which may lead to the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
-
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
-
AI-Based Noise Reduction Techniques for Digital and Analog Communication Systems
Abstract: Noise is one of the major challenges in modern communication systems because it significantly affects signal quality, transmission efficiency, and overall system reliability. Both digital and analog communication systems are influenced by different types of noise such as thermal noise, impulse noise, quantization noise, atmospheric noise, and channel interference. Conventional noise reduction techniques including filtering, adaptive equalization, and statistical signal processing have been extensively used to improve communication performance. However, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 40–48 Read article
-
Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article
-
Analysing Seismo-electromagnetic Waves through Wavelet Transformation
Abstract: This research has presented a sophisticated methodology for studying lithosphere-ionosphere coupling phenomena, emphasising the identification of pre-seismic activity through seismo-electromagnetic signal processing. The application of an advanced electric field monitoring device, coupled with the precision of the Discrete Wavelet Transform (DWT), has allowed us to uncover nuanced patterns in the ULF range, specifically related to seismic events during the Kumamoto Earthquakes. The detailed statistical analysis further supports the significance of …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 2, 2023 · pp. 10–17 Read article