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33 articles for “signal-to-noise (SNR) ratio”
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Study The Effect on Bit Error Rate (BER) for Elevated Signal to Noise Ratio (SNR) in IOT Based Systems Using Cooperative Communication
Abstract: AbstractCooperative communication is the future of wireless and mobile communication. The diversity antenna technology that can be utilized by cooperative communication can improve the quality of the signal received by a mobile. The mobile nodes can further improve signal quality by using multiple input multiple output systems. The cooperative communication is the best way to increase the availability of signals which has become very difficult after restrictions on the establishment …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 8–14 Read article
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Single Sensor Camera Image Denoising Using PCA and Demosaicking with LMMSE
Abstract: Single sensor cameras are used mostly for image acquisition in digital cameras with a colour filter array (CFA). These cameras save image in an unrefined format, since the complete process of image acquisition get lengthy and complex, so it introduces noise in the image and hence requires some efficient technique for denoising. Different techniques have been used to denoise the captured image but efficiency of the algorithms has not been …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 1–10 Read article
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Optimizing Manufacturing Processes with Taguchi Method in Production Engineering
Abstract: The Taguchi Method, pioneered by Genichi Taguchi, stands as a powerful optimization tool within the realm of production engineering. This paper delves into the principles, applications, and significance of the Taguchi Method in enhancing manufacturing processes. With a focus on minimizing variation and improving performance, this methodology plays a crucial role in addressing challenges faced by industries in their pursuit of operational excellence. The core components of the Taguchi Method, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 2, 2023 · pp. 1–8 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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Millimeter Wave Modulation for 5G Communication
Abstract: The universal bandwidth shortage for providing high data rate in gigabit per second has motivated the study of Underutilized millimeter wave band. It provides frequency spectrum for future fifth generation mobile communication networks. Propagation of millimeter wave in environment is affected by atmospheric conditions like rain, fog, cloud etc. and it is mostly affected due to presence of rain and rate of rainfall. Our objective is to develop modulation technique …
Published in Recent Trends in Electronics Communication Systems · Vol. 2, Issue 2, 2015 · pp. 31–36 Read article
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Performance Analysis of IEEE 802.22 Wireless Regional Area Network with Different Modulation Schemes and Code Rates: A Review
Abstract: Abstract: The wireless regional area network (WRAN) is an IEEE 802.22 standard. It operates in the very high frequency and ultra-high frequency range. It works on the principle of cognitive radio. The basic objective of WRAN is to sense the available frequency spectrum and assign this sensed frequency to the secondary user. The performance of the network strongly depends on the wireless environment and different channel conditions. In this paper, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 3, 2019 · pp. 12–17 Read article
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Wavelets-based Denoising by Optimizing Polynomial Threshold Function
Abstract: In this paper, a wavelets-based technique for denoising of one-dimensional signals is proposed which employs artificial bee colony (ABC) algorithm for optimizing a new polynomial threshold function. The coefficients of the threshold function are optimized dynamically to maximize the output signal to noise ratio (SNR). ABC algorithm calculates the coefficients for maximum output SNR. The proposed technique is tested for three artificial signals, namely blocks, bumps and Doppler signals. Additive …
Published in Current Trends in Signal Processing · Vol. 4, Issue 2, 2014 · pp. 11–23 Read article
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Series Resistor Method for Higher Signal-to-Noise Ratio and High Sensitivity in Superconducting Nanowire Single-Photon Detectors
Abstract: A series resistor method has been presented for higher signal-to-noise and high sensitivity in superconducting nanowire single-photon detectors (SNSPD). This method has given a very high useful data yields exceeding 50% while still maintaining pure single-photon operation and wide dynamic range. The SNSPD signal is roughly proportional to the nanowire width, so narrow nanowire have poor signal-to-noise ratio (SNR) at widths from 4–30 nm and fabrication at these length scales …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 4, Issue 2, 2014 · pp. 1–4 Read article
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EEG Data Compression Using Communication Techniques for PMS
Abstract: Compression of EEG (Biological) is an important issue as concern to the telemedicine area. Many of researchers have carried out the work in this domain but still the area provides an ample space for research. This research aims to develop algorithm for the compression of EEG data. In this research the constructive communication modules are used to compress the EEG data. Thirty two channels are used to load the real …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 1–6 Read article
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Comparative Analysis of FIR Digital Filters for Noise Reduction in EMG Signal
Abstract: In the performance of electromyogram (EMG) signal, signal acquisition must be noise free. This paper deals with the application of digital finite impulse response (FIR) filter on the raw EMG signal. In this paper different window techniques are used to design FIR filter and after designing the filters their values are used to calculate signal-to-noise ratio (SNR), power spectral density (PSD), and standard deviation. The results of SNR, PSD and …
Published in Recent Trends in Electronics Communication Systems · Vol. 3, Issue 1, 2016 · pp. 56–60 Read article
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An Improved Power Line Interference Reduction Approach Based on Combination of Mirror Extension and IIR filtering Through a Data Driven Mechanism
Abstract: Electrocardiogram (ECG) is a clinical sign monitoring measurement of the cardiac abnormalities. Like other biomedical signals, the ECG signal is also contaminated by various kinds of noise and artifacts such as power line interference, base line wandering, muscle artifacts and electrode artifacts. The present paper proposes a scheme for power line interference (PLI) reduction from ECG signal. It makes use of the concept of mirror method, empirical mode decomposition (EMD) …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 13–21 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
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Application of Wavelet De-noising for Wind Speed Retrieval from a 2.5 MHz Partial Reflection Radar
Abstract: Atmospheric studies related to middle-atmospheric coupling, climate monitoring, steering profiles for expendable launch vehicles and re-entry missions require atmospheric wind profiles as an important input. Atmospheric wind profiling is conventionally carried out using rawinsondes and radiosondes flown in high altitude balloons, complemented by sounding rockets and ground-based radars. The partial reflection radar (PRR) can be effectively used for the same purpose to an altitude of about 100 km. But deriving …
Published in Current Trends in Signal Processing · Vol. 3, Issue 2, 2013 · pp. 1–8 Read article
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Noise-Resilient QPSK Modem for Reliable Communication for Green Communication
Abstract: The channel noise is the severely degraded the performance of communication system and that also limits the maximum data transmission rate. Hence, it is required to design a demodulator in a receiver which overcomes the effect of noise in the received signal, reconstructs un-corrupted information signal and improves data rate. In QPSK, noise effect the phase of the modulated signal and that causes error in the information signal. This study …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 36–46 Read article
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Power Spectral Study of Heart Rate Variability Time Series by the Adaptive Modified Continuous Morlet Wavelet Transform
Abstract: In this paper, a newly developed method referred as adaptive modified continuous Morlet wavelet transform has been proposed to improve the energy concentration in the time-frequency domain. The improvement is achieved by introducing the shape parameter to the Morlet function that is known as modified Morlet function. To make it adaptive, the modified Morlet function was optimized by concentration measure based on automatic determination algorithm. The proposed method was validated …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 5–20 Read article
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Performance Analysis of QPSK & QAM Modulation Schemes for Long Term Evolution 4G Communication Standard
Abstract: Long Term Evolution (LTE) is the fourth-generation (4G) communication standard specified by third Generation Partnership Project (3GPP). The LTE standard deploys higher modulation schemes such as QPSK & QAM. These techniques along-with OFDM are widely utilized in LTE systems. The objective of this paper is to analyse and compare QPSK, 16-QAM, 64-QAM modulation techniques for different values of Signal to Noise Ratio (SNR). The simulation of these techniques is carried …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 2, 2019 · pp. 27–37 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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Influence of Alkali Treatment on the Tensile Properties of The Hybrid Fiber Reinforced Polymer Matrix Composite
Abstract: In this study, the effect of alkali treatment on the tensile strength of the hibiscus fiber, gongura fiber, and treated madar fiber-reinforced Polymer Matrix Composite (PMC) is studied. The Sodium Hydroxide (NaOH) solution is utilized for madar fiber treatment. The traditional hand layup methodology was used for fabrication. The influence of tensile property control variables such as duration of fiber treatment, concentration of NaOH for treatment, and proportion of fiber …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 28–34 Read article
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Optimized Receivers for Underwater Visible Light Communication
Abstract: For uses like ocean exploration, environmental monitoring, and underwater data transfer, wireless communication under water is crucial. Conventional acoustic and radio frequency communication methods suffer from low bandwidth, high latency, and severe signal attenuation in underwater environments. With its high data rate and low propagation delay, Visible Light Communication (VLC) provides a promising alternative. In this work, an underwater VLC system is implemented using Light Emitting Diodes (LEDs) with intensity …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
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Intelligent Electromagnetic Synthesis: An AI-Driven IoT Framework for Adaptive Antenna Design in Missile Navigation
Abstract: The rapid evolution of hypersonic and long-range tactical missile systems necessitates antenna architecture capable of maintaining robust communication links under extreme thermal, mechanical, and signal-jamming environments. Traditional antenna design methodologies often relying on iterative simulation cycles and static optimization are increasingly insufficient for the real-time requirements of modern aerospace navigation. This paper proposes an AI-driven, IoT- integrated framework that facilitates autonomous antenna design and performance optimization. By deploying a distributed …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article