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961 articles for “Signals”
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Harmonic Analysis of Arterial Blood Pressure Signal Using Fourier Decomposition for Autonomic Health Assessment
Abstract: AbstractIn the present study, the arterial blood pressure waveform is decomposed utilizing Fourier to examine the fundamental frequency and to build up a linkage for autonomic health assessment. This methodology will produce practically identical fundamental frequency, either utilizing noninvasively recorded photoplethysmogram (PPG) or the blood pressure signal. In order to normalize the both, signal PPG waveform is approximated to arterial blood pressure waveform by nonlinear fitting blood pressure values to …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 7–14 Read article
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Stationary Wavelet and Recursive Least Square Filtering Based Fetal ECG Data Extraction from Composite Abdominal Signal
Abstract: This paper introduces a fast methodology for fetal ECG extraction based on stationary wavelet and noise canceler adaptive filter with the recursive least square filter. Firstly, signals are preprocessed by moving averaging filter for removing baseline wander. The stationary wavelet and the recursive least square filter is applied on preprocessed signal that effectively separates the maternal ECG and extracts fetal ECG (fECG) from the abdominal ECG. Finally, fetal ECG(fECG) is …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 46–58 Read article
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Efficient AES for Biometric Image Signal Processing
Abstract: Abstract: Several computation schemes and architectural designs have been suggested during the last three decades for efficient hardware implementation of biometric applications. The biometric application of advanced encryption standard (AES) algorithm in high texture image signal processing. The proposed AES very large-scale Integration (VLSI) architecture has 16 % and 15 % less dynamic power consumption and LUT utilization then available best design available AES architecture in the presented literature survey. …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 7–9 Read article
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Investigation of Surface Electromyography Signal for an Upper Limb Amputee
Abstract: Surface electromyography (SEMG) is a method to measure the muscle activity of the skin. Sensors placed on the skin detect the electrical current or signal generated by active muscles. Lot of the research has focuses on the detection of signal from upper limb amputee with activity of triceps and biceps muscles. Our main aim of this study is to process the acquired signal from the different muscles of the shoulder …
Published in Current Trends in Signal Processing · Vol. 7, Issue 1, 2017 · pp. 19–28 Read article
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Study of ECG Signal Features Extraction using Wavelet Transform: A Review
Abstract: QRS-complex detection is used for analysis of ECG signal. ECG gives the information about electrical activity of the heart Since an ECG is a non-stationary signal and consists of various types of noise such as baseline wander, power line interference and muscle noise. To eliminate such types of noise wavelet transform is used. Mother wavelet is widely used to extract information from these types of signal by denoising. This paper …
Published in Current Trends in Signal Processing · Vol. 4, Issue 2, 2014 · pp. 1–6 Read article
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Signal Integrity Analysis of Single Walled Carbon Nano Tube based Interconnects at 32 nm Technology Node
Abstract: The rising demands for ultra-high-speed processors and portable devices have made the transistor and interconnect scaling a challenging issue in present days. In this work, the impedance parameter of copper and CNT based interconnects are calculated at 32 nm technology node for different lengths. The performances of CNT based interconnects are analyzed and compared with Cu based interconnects in terms of crosstalk. The conventional copper interconnects are not able to …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 1, 2018 · pp. 33–42 Read article
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Effect of vehicle composition on signalized intersection capacity
Abstract: For the design of signalized intersections, capacity is the most critical parameter used. Proper capacity assessment plays an important role in deciding the degree of operation. In order to estimate capacity, the saturation flow rate must be assessed by considering the parameters affected. The main objective of the present study is to identify the impact of the composition of the vehicle and the effect of the time taken to cross …
Published in Trends in Transport Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 1–7 Read article
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An Overview of Classification of Signal and System
Abstract: AbstractSignals and systems are abstract concepts of a wide variety of physical variables and processes in various fields in engineering and sciences. This paper presents the basic idea of signal and system along with their classification. In the real world, any quantity reveals variation in time or variation in space or any other independent variable is potentially a signal. This paper includes a theoretical view with some supportive equation in …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 46–49 Read article
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Arabidopsis thaliana. (L.) Heynh Multifunctional Sensor Proteins and Signaling Networks Plant Photoreceptors
Abstract: Light is a crucial environmental cue for the growth and development of plants as well as the production of photosynthetic energy. In order to recognize and process information from incoming light, plants employ sophisticated mechanisms. With the model plant Arabidopsis thaliana, five different types of photoreceptors have been found. (L.) Heynh Photoreceptors play a specialized and/or recurring role in fine-tuning many aspects of the plant's life cycle. Unlike mobile animals, …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 1, Issue 2, 2023 · pp. 08–24 Read article
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Investigation of the Modulation of Solar Wind and Communication Signal Waves and its Effect on Earth Navigation System
Abstract: The solar wind is an uninterrupted outflow of magnetized plasma from the solar corona that reaches interplanetary space and accumulates in the earth's outer atmosphere disturbing the navigation and communication systems. Incoming solar winds move across in the space, form waves during times of robust solar activity. These waves undergo modification in Earth's atmospheric and interfere with communication signal. Navi-Aid Airport frequency communication data, together with ACE Satellite Electron and …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 3, 2024 · pp. 26–32 Read article
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Ionospheric Disturbances and Communication Signal anomalies due to eruption of Solar flare Activity
Abstract: Solar flares tend to disrupt the radio communication systems and modulate active radio wave frequencies, particularly the ones that have utility in High Frequency (HF) radio signals and transceiver signals because they are the ones who find utility in radio communications systems. Solar flares generate electromagnetic waves which interact with the earth’s atmospheric medium and travel through the ionospheric region. These electromagnetic waves modulate radio frequency communication signals. This modulation …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 7–14 Read article
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Role of PI3K/AKT/mTOR Signaling Pathways in Breast Cancer
Abstract: Abstract: Breast cancer is among the most commonly diagnosed cancers and remains a leading cause of mortality among women globally. Although early detection and interventions aimed at curtailing tumor progression have significantly improved breast cancer survival rates, there is an ongoing demand for more potent systemic therapies to effectively prevent metastasis. A central pathway frequently associated with the growth, survival, and motility of breast cancer cells is the PI3K/AKT/mTOR signaling …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 23–34 Read article
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Host-Microbiota Crosstalk in the Rumen: Signaling Pathways for Nutrient Metabolism and Disease Resilience in Dairy Cows
Abstract: The rumen serves as a highly intricate microbial ecosystem, fundamentally responsible for the degradation of fibrous plant materials in ruminant. The intricate host-microbiota crosstalk within the rumen significantly influences nutrient metabolism, growth, and health outcomes in livestock. The interaction between the host and its microbial community, mediated through signaling pathways including the production of short-chain fatty acids (SCFAs), bile acids, and various metabolites, is crucial for enhancing nutrient absorption, fermentation …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 29–41 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Diet-Gene Interactions in Farm Animals: Molecular Dynamics, Gene Expressions, Signalling Pathways and Precision Nutrition for Sustainable Productivity
Abstract: Diet-gene interactions represent a central mechanism through which nutrition influences growth, health, and productivity in farm animals. Recent advances in molecular biology and genetics have revealed that nutrients act not only as metabolic substrates but also as signalling molecules capable of modulating gene expression, cellular pathways, and epigenetic regulation. This review synthesizes current knowledge on the molecular dynamics of nutrient utilization in farm animals, with emphasis on nutrigenomic responses, nutrient …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 Read article
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Inter-patient Heartbeat Classification Using Higher Order Statistics and Symbolic Dynamics of ECG Signal
Abstract: Computer assisted heartbeat classification techniques have gained significant importance in the recent years as they aid the cardiologists in identifying abnormal heartbeats in ECG recordings. These techniques are of vital importance especially for the long term ECG recordings where it is not feasible to manually analyze the numerous heartbeats. Electrocardiogram (ECG) is an electrical representation of human heart activities and change of these activities is reflected in the morphology of …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 37–45 Read article
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Hand Grasp Recognition and Classification of Prehensile Surface EMG Signals
Abstract: Myoelectric control signals are commonly used as a convenient solution of prosthesis control for the disabled persons or amputees. Surface EMG signal being noninvasive is easy to acquire and is commonly used in prosthetic devices. Myoelectric control system is the fundamental component of modern prostheses, which uses the myoelectric signals from an individual’s muscles to control the prosthesis movements. In this paper data collected from several subjects using four surface …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 29–38 Read article
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Empirical Mode Decomposition versus Wavelet filtering for Time Domain Electromagnetic Signals
Abstract: Time Domain Electromagnetic (TDEM) methods are used for exploration of deep seated mineral deposits by measuring sub-surface conductivity of the earth. The response of earth is measured by an induction coil. The signals acquired are contaminated by variety of noises. Signal filtering plays a major role in order to obtain deeper information regarding subsurface conductivities. Various methods based on conventional DSP filters, wavelets, etc. have been attempted. This paper explains …
Published in Current Trends in Signal Processing · Vol. 3, Issue 1, 2013 · pp. 8–14 Read article
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Analysis of Signal Processing Algorithms for Bio-Medical Applications
Abstract: Epilepsy is a burdensome brain disorder, in which heavy seizures will happen again and again. Sudden explosion of electrical activity during the seizures will create a blackout for patients and it will break the body equilibrium, so patients may fall down. Epilepsy affects a large population around the globe. It may begin at any age and last for generations. It can be controlled by the surgical removal of the brain …
Published in Current Trends in Signal Processing · Vol. 12, Issue 3, 2022 · pp. 24–27 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 9–22 Read article