International Journal of Microwave Engineering and Technology
About the Journal
International Journal of Microwave Engineering and Technologyis a peer-reviewed journal that provides academicians and industries with high quality research papers and reviews in microwave engineering. Journal is positioned to provide transformation in the way scientific articles are communicated and is determined to publish high impact articles.
All contributions to the journal are rigorously refereed and are selected on the basis of quality and originality of the work. The journal publishes the most significant new research papers or any other original contribution in the form of reviews and reports on new concepts in all areas pertaining to its scope and research being done in the world, thus ensuring its scientific priority and significance.
Journal at a Glance
Latest Articles
Impact of I/Q Imbalance Due to Gain and Phase Mismatcheson IRR, Image Leakage, Constellation Distortion, SNR and BER in OFDM Systems
Abstract: Due to its great spectral efficiency and resilience to multipath fading, orthogonal frequency division multiplexing,or OFDM, has become a popular modulation technique in contemporary wireless communication systems.Reliable OFDM reception depends on accurate channel estimate, and methods like Least Squares (LS) andMinimum Mean Square Error (MMSE) estimation are frequently used to make up for channel impairments.However,…
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…
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…
Remote Sensing Technologies for Weather Forecasting: Techniques, Uses, andAssessment
Abstract: Remote sensing has become an important tool for modern weather forecasting since it lets us see the Earth's atmosphere and surface all the time and on a huge scale. Remote sensing uses satellites and sensors to collect data in real time on important weather variables like temperature, humidity, cloud cover, precipitation patterns, and atmospheric motion.…
An Overview on Harmonic Intelligence: BridgingMicrowave Sensing and AI-Driven IoT for Autonomous Decision-Making
Abstract: As the Internet of Things (IoT) ecosystem expands into complex industrial and urban environments, the demand for high-fidelity data acquisition and near-instantaneous edge processing has reached a critical juncture. Traditional optical and infrared sensors often falter under adverse conditions, such as dense smoke, occlusions, or low-light environments. This paper explores the transformative potential of microwave…
The Awesome Power of Microwaves: More than Heating Food
Abstract: An essential part of contemporary technology is microwave energy, a form of electromagnetic radiation having wavelengths between one metre and one millimetre. Its uses extend well beyond the kitchen, even though it is usually associated with cooking. This article overviews basic concepts of microwave energy, the interaction with materials and the generation of heat by…