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87 articles for “signal-to-noise (S/N 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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Optimization of TIG Welding Process Parameters of Ss 304 By Taguchi Method and Grey Relation Analysis
Abstract: TIG welding is one of the widely used welding processes in manufacturing industries. In any of the welding processes, many factors play a vital role in obtaining strength of welding joint like bead geometry. So, there is need of optimizing the TIG process for a better so in this paper optimization of various TIG parameters have been done like bead geometry, penetration, and HAZ (Heat Affected Zones) on the basis …
Published in Journal of Production Research & Management · Vol. 9, Issue 3, 2019 · pp. 27–40 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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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
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Evaluation of Optimal Parameters for Wire EDM Machine on En45A Alloy Steel using Taguchi and Grey Relational Analysis (GRA) Method
Abstract: The core goal of this research paper is to evaluate process parameters of wire electrical discharging machining and to find out the best parameter among the multiple responses given by machine. Wire cut machine is very accurate and precise machine which is actually manufactured to cut those material which have high strength, toughness, and hardness. This machine works on melting property; here spark is generated between the work piece and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 1, 2016 · pp. 11–21 Read article
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Surface Roughness in Traverse Cut Cylindrical Grinding of Phosphor Bronze
Abstract: In the present work, traverse cut cylindrical grinding process has been analyzed and optimized to obtain desired surface roughness while machining of phosphor bronze material. Experiments have been planned as per Taguchi’s L16 orthogonal array. Four levels of the input parameters have been used. The parameters are: longitudinal feed, work-speed and in-feed. The results have been studied, plotted and discussed. The effect of process parameters on responses have been analyzed …
Published in Journal of Automobile Engineering and Applications · Vol. 6, Issue 1, 2019 · pp. 20–24 Read article
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Investigating the Combined Effect of FDM 3D Printing Parameters on Tensile Behavior of ABS Plastic Using Taguchi Method.
Abstract: Fused Deposition Modelling (FDM) is a commonly utilized method in additive manufacturing. FDM is greatly affected by its printing parameters, which is why selecting the proper parameters is crucial for obtaining the desired properties of 3D printed parts. In this paper we have experimentally and statistically studied the influence of FDM 3D printing parameters (infill pattern, infill density and layer thickness) on tensile strength using Acrylonitrile Butadiene Styrene (ABS) filament. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 161–169 Read article
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Optimization of Machining Parameters on End Milling of EN 8 Back Shaft for Power Press
Abstract: The most of the industries carried out various machining processes are the heart of any industries. The processes are advanced day by day in order to achieve goal of efficiency. The paper state about one of the process namely end milling on experimentally investigates the effect of input parameters on material removal rate and surface roughness for key way cut on particular back shaft. Design of experiment carried out by …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 49–58 Read article
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Analysis of Cooperative Communication Techniques
Abstract: The scope of this study is to analyze cooperative communication techniques by measuring the symbol error rate vs. signal to noise ratio and analyzing the merits and demerits of those techniques. Unless stated otherwise, the channel is modelled as Rayleigh fading and noise is modeled as white Gaussian. The results of this study can be used to understand the benefits of cooperative protocols and their necessity in future communication systems. …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 7, Issue 3, 2020 · pp. 1–9 Read article
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Comparative Analysis of Digital Image Watermarking using DCT and DWT
Abstract: AbstractWatermarking is a technique to hide information into digital data and provides security against intentional and unintentional attack. It is a very important and emerging field which helps to protect ownership of digital information. Watermarking is the process of inserting or hiding information behind cover data. In this paper we discussed about two digital watermarking techniques, Discrete Cosine Transform (DCT) and discrete wavelet Transform (DWT). The parameters to test robustness …
Published in Journal of Communication Engineering & Systems · Vol. 4, Issue 1, 2014 · pp. 1–5 Read article
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Design and Performance Trends of Low Power Sigma-Delta A/D Converters
Abstract: Analog-to-Digital Converters (ADCs) act as the bridge linking the real world and the digital world, i.e., they can covert the analog signal to the digital signal, and hence benefit to the storage, processing and transmission of the data. This paper presents a first of its kind study on the various Sigma-Delta (ΣΔ) ADC architectures proposed to achieve low power consumption and their performances have been compared with respect to the …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 2, 2016 · pp. 5–12 Read article
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Advanced Polymer Nanocomposite EEG Electrodes for Enhanced Epileptic Seizure Detection: A Comparative Analysis
Abstract: Electroencephalography (EEG) has been very important in the detection of epileptic seizures so as to enable successful diagnosis, surveillance and therapy of epilepsy. Nevertheless, EEG electrodes based on traditional metals may be limited due to high or high contact impedance, lack of biocompatibility, discomfort to patients and prone to motion artifacts, which interfere with signal quality and diagnostic adequacy. The recent progress in material science has resulted in coming up …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 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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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 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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Adaptive Drift Correction in Polymer-Based Wearable Biosensors via Data-Driven Signal Modeling
Abstract: Polymer-based wearable biosensors have emerged as a promising technology for continuous health monitoring due to their mechanical flexibility, biocompatibility, and suitability for long-term physiological interfacing. However, prolonged exposure to biofluids, environmental variability, and mechanical deformation introduces signal drift, which significantly degrades measurement accuracy and limits clinical reliability. This paper presents a data-driven methodology for compensating signal drift in polymer-based wearable biosensors using adaptive signal processing and machine learning techniques. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 131–139 Read article
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ENHANCING CONTROL WITH EMBEDDED SSVEP-BCI
Abstract: Brain–Computer Interface (BCI) technology establishes a direct communication link between the human brain and external devices without relying on muscular activity. Among various BCI paradigms, the Steady-State Visually Evoked Potential (SSVEP)-based approach has gained significant attention due to its high signal-to-noise ratio, minimal user training, and suitability for real-time applications. However, implementing such systems on embedded hardware presents challenges such as limited computational resources, signal noise, and latency in processing. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 41–52 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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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