Articles tagged with Signal Processing
Researchers at Rice University develop a new way to model the cochlea's sound processing using graph signal processing, identifying broader functional relationships between sensory cells. The model, called GSP Cochlea, performs better in detecting signals in noise and may hold the key to personalized device settings for hearing aids.
Researchers developed a compact aperture-adjustable antenna that maintains strong performance across the 57–71 GHz 5G band and improves signal strength by up to 62.2% at both lower and upper-band-edge frequencies. The system achieves data transmission speeds of up to 56 Gb/s, supporting future Beyond 5G and 6G applications.
The University at Albany has received a $1.3 million award from the National Science Foundation (NSF) to establish an advanced wireless testbed, enabling researchers to develop next-generation technologies for wireless communications and sensing systems across a wide range of frequencies.
Researchers have developed soft, brain-inspired electronics that can sense, store, and process information while conforming to biological tissues. These devices mimic the chemical processing of the human brain, executing complex tasks like heart rhythm classification at ultra-low voltages.
Researchers have demonstrated a record-breaking 450 terabits per second optical transmission over a field-deployed legacy fiber in London, UK. The achievement uses new optical-amplifier technologies to support ultra-wideband signals, exceeding previous records and unlocking previously untapped capacity in standard optical fibers.
Javad Khazaei's research focuses on developing a novel geometry-based predictive control paradigm for distributed energy resources in power systems. By simplifying complex nonlinear systems using reduced-order modeling, his approach aims to slash data requirements and computational burden while maintaining accuracy. This work has promi...
A team of researchers at The University of Osaka has created a wireless EEG transmission system that can operate without external power sources. The system harnesses energy from the temperature difference between the human body and surrounding air, allowing it to function reliably even in hot summer conditions.
Researchers have developed SmartDJ, an AI-powered editor that allows users to reshape audio experiences with simple words. The system uses language models and diffusion models to interpret high-level requests and generate edited outputs.
Researchers at Saarland University have developed a new class of miniature actuators using ultrathin silicone film-based pumps. The pumps can operate without motors, compressed air, or lubricants and can be switched on and off as needed.
Researchers at Saarland University have developed energy-efficient geometries for elastocaloric cooling elements using 3D printing. The technology uses shape-memory alloys to release heat when stretched and absorb it when released, promising a cleaner alternative to traditional cooling methods.
A research team at Saarland University has developed an AI-assisted method to determine temperature distribution inside a running electric motor in real time, without additional hardware. The system uses motor-condition data extracted from electromagnetic fields and can detect thermal overload and optimize power regulation.
Researchers have discovered that lithium dendrites in batteries are unexpectedly strong and brittle, causing short circuits and safety risks. The findings suggest that future battery design must change to improve safety and reliability of high-energy storage systems.
Electrical engineers at Duke University have developed the fastest pyroelectric photodetector, capable of capturing light from the entire electromagnetic spectrum. The device requires no external power and operates at room temperature, making it suitable for on-chip applications and multispectral cameras.
A nanostructure composed of silver and an atomically thin semiconductor layer can be turned into an ultrafast switching mirror device, displaying properties of both light and matter. This discovery could lead to dramatically increased information transmission rates in optical data processing.
Engineers have developed a device that can generate surface acoustic wave phonon lasers, enabling the creation of sophisticated chips in cellphones and other wireless devices. This technology could lead to smaller, higher-performance, and lower-power wireless devices like cell phones.
A new hybrid wireless access network called PHWAN has been proposed to improve the performance of smart factories. The framework combines different wireless systems, including 5G, Wi-Fi, and low-power industrial networks, to adapt dynamically to the needs of different machines.
Researchers created an ultrathin hydrogel electrode that can track vital signals without interruption, overcoming previous dehydration, freezing, and mechanical fragility issues. The new material forms a flexible layer that can withstand extreme temperatures and retain water content over time.
A new smartphone-based system can accurately diagnose sleep apnea in stroke patients, identifying 67% of those with moderate to severe apnea. The portable tool uses sensors and digital biomarkers to monitor breathing, oxygenation, and body position during the night.
Mustafa Aksoy is leading a research team to develop machine-learning algorithms to detect and remove radio frequency interference from NOAA satellite measurements. The goal is to improve the accuracy of weather forecasts and climate monitoring by mitigating the impact of RFI.
Researchers at Ritsumeikan University have discovered that the loss of TRPM1 ion channels sets off a cascade of changes leading to persistent oscillations in the retina. This finding illuminates the cellular basis of congenital stationary night blindness and identifies a common mechanism underlying retinal degenerative conditions.
Researchers at SwRI discovered a security vulnerability in the Signal Level Attenuation Characterization (SLAC) protocol used in electric vehicle-to-grid communications. The team successfully modeled and replicated a machine-in-the-middle attack that could manipulate or halt EV charging processes.
Researchers developed a novel topology-aware multiscale feature fusion network to enhance EEG-based motor imagery decoding. The TA-MFF network achieves excellent classification performance, outperforming state-of-the-art methods by leveraging spectral-topological data analysis-processing and inter-spectral recursive attention.
Researchers from Chung-Ang University have developed a novel AI-based approach for producing high-fidelity and defect-aware ultrasonic images, outperforming traditional techniques. This technology has the potential to revolutionize non-destructive testing in industries such as semiconductors, energy, and automotive.
Researchers at Rice University have developed a new method to generate radio wave patterns that can identify signal direction with unprecedented accuracy, enabling rapid establishment of wireless links. This breakthrough enables high data-rate links to form almost as soon as the signal is sent.
A U-M-led team is working to minimize latency in virtual and augmented reality games for people with Parkinson's disease. They are developing two games: an adaptive soccer game and a word game that enables players to fight the progression of the disease through physical and cognitive exercise.
Scientists have developed a programmable electronic circuit that harnesses high-frequency electromagnetic waves to perform complex parallel processing at light-speed. This breakthrough has the potential to power next-generation wireless networks, real-time radar, and advanced monitoring in various industries.
The US Naval Research Laboratory has installed a state-of-the-art cluster system for growing and analyzing quantum materials at the atomic level. This allows researchers to study materials one layer at a time, eliminating the need for sample transfer and reducing contamination risk.
A team of researchers at UC Santa Cruz developed a system using low-cost WiFi devices and machine learning algorithms to accurately measure heart rate. They found that the system worked regardless of body position or distance from the hardware, with high accuracy even after just five seconds of monitoring.
A team of researchers developed a scalable biological signal-processing framework that uses synthetic operational amplifiers to convert mixed cellular inputs into clean, orthogonal outputs. This enables precise, predictable control of complex biological systems, with applications in biomanufacturing and signal decomposition.
The new Harvard device can turn purely digital electronic inputs into analog optical signals at high speeds, addressing the bottleneck of computing and data interconnects. It has the potential to enable advances in microwave photonics and emerging optical computing approaches.
A team of researchers developed a new quantum framework for analysing higher-order network data using topological signal processing. The Quantum Topological Signal Processing (QTSP) framework achieves linear scaling in signal dimension, opening the door to efficient quantum algorithms for problems previously considered out of reach.
A research team has experimentally demonstrated a nonlinear wave phenomenon that changes its frequency depending on the direction of incoming waves. The system exhibits different responses to waves entering from one side versus the other, with potential applications in medical ultrasound imaging and noise control.
Researchers from Science Tokyo developed analog relay stations to extend mmWave coverage, achieving over 1 Gbps throughput and enhancing stability in previously unreachable zones. The innovative solution utilizes distributed relay diversity to maintain signal strength and throughput even with blockage.
Scientists have developed a method to extract insect heart rates from video footage taken with digital cameras, preserving their natural behavior. The technique uses advanced signal processing and machine learning algorithms to analyze subtle body movements and detect accurate cardiac activity.
Researchers develop smart planning systems to predict weld bead geometry and optimize deposition paths, reducing thermal stresses and defect rates. Innovations in real-time monitoring and auxiliary strategies improve material integrity and mechanical properties.
A study by NYU Abu Dhabi researchers has found a key mechanism that shapes brain development and how it may be disrupted in autism and schizophrenia. The research reveals the role of m6A methylation in regulating protein production in growing neurons.
A team of researchers from Japan has developed an ultra-compact, low-power 150 GHz radio module enabling high data rates in mobile devices. The proposed design integrates a phased-array transceiver with several key innovations to overcome the main challenges of operating at frequencies in the 150 GHz band.
A new world record has been set for petabit-class transmission over a distance of 1,808 km using a 19-core optical fiber with low loss across multiple wavelength bands. The demonstration marks a major step forward in developing scalable, high-capacity networks and addressing the world's growing demand for data.
The MyoStep project represents a significant advancement in pediatric mobility aids for children with cerebral palsy, addressing motor impairments that restrict participation in physical activities. The soft power suit provides a lightweight, discreet solution tailored to fit seamlessly into the lives of children and their families.
Researchers developed an advanced detector system combining silicon and germanium detectors for high-efficiency charged-particle decay studies. The system achieved precise tracking of decay processes and efficient discrimination between particles, showcasing its potential for studying exotic nuclear structures.
Researchers introduced an innovative ML model for classifying faults in SRF cavities, utilizing historical data and expert insights to enhance operational stability. The system achieved high accuracy and efficiency, facilitating long-term trend analysis and proactive maintenance strategies.
The study provides a new look at the galactic region surrounding our solar system, revealing a roughly uniform background Lyman alpha sky brightness. The findings suggest hot interstellar gas bubbles may be regions of enhanced hydrogen gas emissions at a wavelength called Lyman alpha.
Researchers at EPFL discovered that iron-rich hematite exhibits new spin physics, enabling signal processing at ultrahigh frequencies and allowing repeated encoding and storage of digital data. This breakthrough paves the way for a more efficient and sustainable approach to spintronics.
MIT engineers developed ultrathin electronic films that sense heat and other signals, reducing the bulk of conventional goggles and scopes. The new pyroelectric thin film is highly sensitive to heat and radiation across the far-infrared spectrum, enabling lighter, more portable night-vision eyewear.
The SETI Institute has launched the ARISE Lab program, providing hands-on training for community college instructors and students in astronomy, digital signal processing, and radio science. The program combines real-time radio telescope data with experiential learning techniques to spark curiosity and build skills.
Researchers developed an in-situ EPR setup to accurately identify radicals generated by PAA activation under different UV wavelengths, revealing distinct radical generation pathways. The study provides new insights into the mechanisms of radical formation and transformation using density functional theory calculations.
Researchers have developed a novel wearable brain scanner that measures high frequency brain waves, revealing changes in E-I balance with age. This new technology allows for unprecedented precision in studying brain function in young children, potentially leading to better understanding of neurodevelopmental disorders like autism.
Researchers have discovered that the thalamus can update its own connections independently of the cortex, a finding relevant to children with neurodevelopmental disorders. This breakthrough suggests that modulating neurotransmitters in the thalamus could alter sensory processing and improve cognitive function.
The device uses AI technology to detect potential heart problems and provides real-time health insights. It has multiple points touching the skin near the heart, allowing for more accurate tracking even during movement.
Researchers from Prof. Yardena Samuels's lab developed a new approach to cancer treatment by manipulating cancer cells to produce dozens of suspicious proteins, leading to a powerful immune response that destroys human cancer cells and slows tumor growth in mouse models.
Researchers propose a general formula modeling bone adaptation as a function of key loading parameters. The formula provides insights into the relationship between mechanical signals and adaptive bone responses, offering guidance for optimizing exercise regimens and designing medical devices to promote bone health.
A new approach to AI developed by Texas A&M University engineers mimics the human brain's neural processes, integrating learning and memory in a single system. This 'Super-Turing AI' has the potential to revolutionize the industry by reducing energy consumption and environmental impact.
Researchers at Harvard created a new type of interferometer that can modulate aspects of light in one compact package, enabling precise control over light's frequency and intensity. This breakthrough has the potential to be used in advanced nanophotonic sensors or on-chip quantum computing.
Distributed acoustic sensing systems face data processing speed limitations; researchers leverage photonic neural networks to overcome these challenges. The TWM-PNNA system achieves high recognition accuracy above 90% with low power consumption, outperforming electrical GPUs by orders of magnitude.
Researchers at MIT have devised a simplified process to convert skin cells directly into neurons, bypassing the stem cell stage and achieving yields of over 10 neurons from a single skin cell. This approach could potentially be used to treat patients with spinal cord injuries or diseases that impair mobility.
A new diagnostic method called flicker optoretinography (f-ORG) analyzes the retina's reaction to light, helping to detect danger before symptoms appear. The technique detects even minor changes in photoreceptors, providing valuable insights into retinal health.
Researchers at UC San Francisco have enabled a paralyzed man to control a robotic arm through a device that relays signals from his brain to a computer. The device, known as a brain-computer interface (BCI), worked for a record 7 months without needing to be adjusted.
Scientists can now utilize communication signals from mega-constellations to track changes in the Earth's gravitational field and observe weather phenomena like heavy rain or sea level changes in real time. The accuracy of this method is currently limited to 54 meters, but researchers aim to improve it to just a few meters.
A new study proposes a theoretical framework for AI-based wearable blood pressure sensors, paving the way for non-invasive and continuous cardiovascular monitoring. The review highlights clinical aspects of implementation, real-time data transmission, and signal quality degradation, and presents strategies to address technical barriers.
Researchers discovered distinct neuronal populations in the ACC process pain and itch information separately, with stimulus-specific neurons receiving differentiated synaptic inputs from the mediodorsal thalamus. Suppressing these neurons reduced corresponding sensations without affecting the other.