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27 articles for “signal to noise ratio (SN)”
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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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Optimization of Machining Parameters in Electric Discharge Machining of Al 65032
Abstract: Electric discharge machining has the potential to maintain surface topography and produce less stresses and destruction to the components. In this machining there is no contact between the tool and the work piece. The spark generated due to the electrostatic field generation between tool and the work piece. The objective of this experimentation was to create guidelines for electric discharge machining of Al 65032. Aluminum alloy 65032 is one of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 3, 2015 · pp. 15–22 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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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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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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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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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
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Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 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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Determining the Effect of Cutting Parameters on Surface Roughness in Turning Process Using the Taguchi Method
Abstract: This study focuses on optimizing turning parameters based on the Taguchi method to minimize surface roughness (Ra). Experiments have been conducted using the L9 orthogonal array in a CNC turning machine. Turning tests are carried out on aluminium alloy AISI 1061 with carbide cutting tools. Each experiment is repeated two times and each test uses a new cutting insert to ensure accurate readings of the surface roughness. The statistical methods …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 2, Issue 3, 2015 · pp. 17–22 Read article
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ECG De-noising Techniques and Optimal Feature Selection Using Principle Component Analysis
Abstract: AbstractECG (Electrocardiography) is used to record and determine the condition of the heart. This paper provides an overview of various ECG de-noising techniques that are used to eliminate different type of noises; therefore, noise reduction procedure to be performed to eliminate different type of noises such as baseline wander, dc offset and high frequency interference, and then the pre-processed signal is used to extract features from the ECG signal. This …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 1, 2018 · pp. 14–20 Read article
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Performance Analysis of Carrier Frequency Offset (CFO) and Phase Noise in 4G Communication System
Abstract: For telecommunication services the dramatic shift in the market has been made in beginning of 21st century. In these days' communication network the key challenges is to integrate numerous serves, convey the additional data as expeditiously as doable through limited bandwidth and providing high information data rates. For 4G communication systems 3GPP introduced two features Higher Order Modulation and Multiple Input Multiple Output (MIMO) in OFDM system but one limiting …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 1, 2016 · pp. 33–46 Read article
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Performance Analysis of FIR Digital Filter using Artificial Neural Network for ECG Signal
Abstract: AbstractIn performance of electrocardiography (ECG) signal, signal acquisition must be noise free. This paper deals with the application of the digital finite impulse response (FIR) filter on the raw ECG signal. In this paper different window techniques used to design FIR filter and their signal to noise ratio are compared. The dataset configured for multilayer perceptron (MLP) training with feed forward algorithm. Finally the MLP is trained and the results …
Published in Journal of Communication Engineering & Systems · Vol. 3, Issue 2, 2013 · pp. 28–32 Read article