Articles tagged with Signal Processing
A POSTECH research team developed a novel multidimensional sampling theory to overcome limitations of flat optics. Their study identifies constraints of conventional sampling theories and presents an innovative anti-aliasing strategy, significantly enhancing optical performance.
The open-source AI model analyzes medical images, generates detailed reports, and answers clinical questions to streamline diagnostics and improve accuracy. BiomedGPT aims to democratize healthcare and reduce disparities amongst patients by providing easily accessible data to bolster underserved hospitals.
Tobias Ackels' research reveals that mammals can differentiate between odor sources at lightning speed, using a temporal dimension to orient themselves in space. This ability is encoded in the output of the olfactory bulb and could be used for early detection of dementia.
Professors Scott Acton and Mathews Jacob of UVA's Charles L. Brown Department of Electrical and Computer Engineering were named to the IEEE Signal Processing Society's 2025 Class of Distinguished Lecturers for their groundbreaking work in signal processing, artificial intelligence, and medical imaging.
A team of researchers from the University of Ottawa has developed innovative methods to enhance frequency conversion of terahertz (THz) waves in graphene-based structures, unlocking new potential for faster, more efficient technologies in wireless communication and signal processing. These advancements hold great promise for wireless c...
Charles Langston is awarded the Harry Fielding Reid Medal for his groundbreaking work on receiver function methodology, enabling unprecedented detail in imaging the Earth's crust and upper mantle. His techniques underlie multi-station imaging methods used globally, and have also been applied to study seismic data from Mars InSight.
Concordia researchers propose a novel method using ultrasound-guided microbubbles to stimulate critical cytokine secretion in T cells, potentially re-activating them and increasing the release of proteins needed to fight cancer. The approach could complement existing treatments and improve outcomes.
The University of Virginia's AI-powered vision system, mimicking praying mantis eyes, has been selected as the best paper of 2024 by Science Robotics. The innovative system enables machines to track objects in 3D space, addressing limitations in current visual data processing.
A team led by University of Rochester professor Edmund Lalor aims to understand how the brain processes audiovisual information to improve speech comprehension for individuals with cochlear implants. They will use noninvasive electroencephalography (EEG) brainwave measurements to study how people respond to multisensory speech.
Researchers developed a low-power, high-frequency signal transmission tag that can efficiently reflect signals at untapped frequencies, eliminating the need for power-hungry signal transmitters. This technology enables real-time monitoring in industrial settings and has potential applications in smart cities and agriculture.
Researchers at the University of Pennsylvania School of Engineering and Applied Science have developed a novel photonic switch that can redirect signals in trillionths of a second with minimal power consumption. The new switch uses non-Hermitian physics and silicon material to achieve unprecedented speed and efficiency.
Researchers at Princeton University have developed an AI-powered system to design complex wireless chips, reducing time and cost. The AI creates intricate electromagnetic structures that improve performance and efficiency, often in ways that human designers cannot understand.
Researchers at UMass Amherst have identified Hsc70 as a vital chaperone protein that ensures SNAP-25's proper functioning in neurotransmission. The study sheds new light on the underlying mechanics of neurodegenerative diseases like Alzheimer's and Parkinson's.
A research team led by USC aims to create comprehensive maps of retinal nerve connections to understand and combat retinitis pigmentosa, a progressive eye disease affecting 2 million people globally.
A study by University of Essex researchers found that women who notice and attend to internal bodily signals, such as heartbeats and sensual touch sensations, experience more frequent orgasms. The research suggests that focusing on the body rather than the mind can lead to increased orgasm satisfaction.
Researchers are developing a system to instantly conceal and anonymize voices through computer-generated speech. The technology will allow users to control factors like age, gender, and dialect in real-time conversations.
Richard Baraniuk, a Rice University professor, has been awarded the 2025 IEEE Jack S. Kilby Signal Processing Medal for his pioneering work in multiscale and sparse signal processing. He is also a pioneer of the open education movement, transforming access to learning materials worldwide through OpenStax.
Researchers from the University of South Australia have developed a celestial navigation system that uses visual data from stars to provide an alternative means of nighttime navigation in environments where GPS is unavailable or unreliable. The system has been tested on a fixed-wing drone and demonstrated accurate positioning within fo...
Scientists have developed a liquid ink that can be printed onto a patient's scalp to measure brain activity, offering an alternative to traditional EEG tests. The e-tattoo technology is quick, comfortable, and stable, with potential applications in non-invasive brain-computer interface devices.
Researchers at TU Wien found that retinal ganglion cells retain their ability to produce different signals even after blindness. These intrinsic properties are stable and can be utilized in retinal implants, leading to better stimulation strategies for blind patients.
A novel physical reservoir computing device uses a dye-sensitized solar cell to mimic human synaptic elements, enabling efficient time-series data processing and low power consumption. The device achieved high computational performance in tasks such as human motion classification with over 90% accuracy.
A new eavesdropping technology has been developed to intercept underwater messages from the air, posing significant security risks. The device uses radar to decode tiny vibrations on the water's surface, allowing for location identification and message interception.
PanoRadar leverages radio waves and AI to enable robots to navigate challenging environments like smoke-filled buildings or foggy roads with high resolution. The system combines measurements from all rotation angles to enhance imaging resolution, creating a dense array of virtual measurement points.
University of Delaware professor Benjamin Jungfleisch receives a five-year $798,000 grant to develop low-energy computing using magnetic nanostructures. The project aims to improve AI processing power and reduce energy consumption.
A team at MIT discovered pyrene, a large carbon-containing molecule, in a distant interstellar cloud. The finding supports the PAH hypothesis and suggests that pyrene may have contributed to the formation of our solar system's chemical inventory.
Researchers successfully generate guided sound waves on a microchip using lasers, enabling interactions with the environment and paving the way for new sensing technologies. The innovative approach uses special glass to contain sound waves, making it ideal for applications in signal processing and communication technologies.
Researchers at Yokohama National University have developed a novel platform for electrical-to-spin conversion using spin-wave reservoir chips. These devices improve learning accuracy and short-term memory tasks by transforming electrical signals into corresponding spin-wave representations.
Researchers from Charité have shown that deep brain stimulation using electrical impulses can accelerate movement and shorten delays in Parkinson's patients. By decoding the intent preceding voluntary movement seconds before action, they discovered that dopamine significantly speeds up this process.
Researchers create a miniature, chip-based 'tractor beam' that can capture and manipulate cells at distances of over a hundred times further away from the chip surface. This technology has the potential to revolutionize biologists and clinicians' ability to study DNA, classify cells, and investigate disease mechanisms.
Researchers found that low Wnt signaling levels regulate NPC self-renewal, while higher levels initiate differentiation into mature kidney cell types. The studies also reveal the role of beta-catenin in aggregating NPCs to form early kidney structures.
A research team has developed a simplified synthesis method for organic fluorophores using formaldehyde, reducing molecular size and increasing atomic efficiency. The new technique can also be applied to in vivo environments, showing promise for life sciences research and diagnostics applications.
Researchers use high-resolution computer simulations and terabytes of data to detect faint signals from the Epoch of Reionization, providing insights into galaxy formation. The study sets an upper limit on when the EoR likely ended, offering a new parameter for scientists to work with as they continue to investigate the early universe.
Researchers used fMRI to observe brain activity in participants exposed to varying levels of pain stimuli, manipulating their expectations about the level of pain. The study found that higher-level networks integrated pain-related signals into the experience of pain by adding preserved expectation and stimulus information together.
A new Northwestern Medicine study identifies critical language connector sites in the cerebral cortex that work together to produce language. These sites serve as connectors between subnetworks of people, serving a similar function for language in the brain.
Researchers developed a system to effectively split transmissions from a single antenna array into multiple beams without additional hardware, allowing satellites to overcome the one-to-one user ratio. This enables significant reductions in cost and power consumption, potentially leading to fewer satellites, smaller satellites, or both.
Newly developed tools enable selective labeling and manipulation of synapses, advancing understanding of learning, memory, and neurological disorders. The review highlights promising molecular actuators and optogenetic approaches to unravel synaptic function mysteries.
Dr. Josephine Wu's project, OPTO-BIOPRINTING, aims to develop a novel platform for spatiotemporally guided tissue engineering using cellular self-assembly and light triggering. The goal is to create living organ replacements that can perform as well as native equivalents.
Researchers at Macquarie University have developed a new way to produce ultraviolet light sensors using acetic acid vapour, improving performance without high-temperature processing. The study shows the sensors can be made more responsive and reliable by exposing them to vinegar vapour for around 15 minutes.
Seven rock samples collected along the fan front of Mars' Jezero Crater show evidence of minerals formed in water, suggesting a watery environment. While organic matter cannot be confirmed, these rocks may hold the key to finding remnants of ancient Martian life.
A new mixed physical node reservoir computing system uses artificial light-emitting synapses to effectively extract spatiotemporal characteristics of input signals. The device achieves over 97% recognition accuracy in image classification tasks and improves multi-channel image recognition from 93.16% to 99.25%.
Researchers at Vanderbilt University Medical Center have detected strong white matter signals in the spinal cord that promote nerve regeneration and healing after injury. These signals are comparable to those seen in gray matter, which enables targeted delivery of electromagnetic stimuli or drugs to restore nerve activity.
Researchers at Pohang University of Science & Technology have developed a novel analog hardware using ECRAM devices that maximizes AI computational performance. Their technique, which uses a three-terminal structure with separate paths for reading and writing data, demonstrates excellent electrical and switching characteristics.
A protocol has been designed to harness the power of quantum sensors, allowing for fine-tuning of quantum systems to sense signals of interest. The framework uses a combination of qubits and bosonic oscillators to create sensors that are vastly more sensitive than traditional sensors.
A novel, fast and high-quality neural text-to-speech model was successfully developed using a Transformer encoder + ConvNeXt decoder and MS-FC-HiFi-GAN. The model can synthesize one second of speech at high speed in just 0.1 seconds using a single CPU core, achieving eight times faster synthesis than conventional methods.
A new Reichman University study demonstrates how external representation of physiological signals can improve internal balance. The researchers created an immersive multisensory environment that mirrors the user's breathing pattern, leading to significant improvements in interoceptive sensibility and flow among users.
Researchers have developed a smart RNA capable of regulating gene expression in response to various signals, enabling the precise design of gene therapies and advanced personalized treatments for diseases.
Researchers at Duke University have broken through the performance wall of adaptive radar systems using convolutional neural networks, paralleling computer vision. They've released a large open-source dataset for other AI researchers to build upon their work, aiming to tackle industry needs like object detection and tracking.
Researchers at Rice University have developed a nanosized sensor that records the electrical activity of spinal neurons in action. The sensor, called spinalNET, can track individual neurons over multiple days, providing valuable insights into the mechanisms controlling movement and sensation in the spinal cord.
Researchers at McLean Hospital discovered that declining arousal levels during brain scans artificially inflate brain connection strength maps. By removing a specific noise signal, they found a method to eliminate these distortions, enhancing the validity of fMRI findings.
Researchers have developed a groundbreaking solution to overcome DAC challenges, achieving record-breaking data transmission performance. The innovative approach enables the transmission of signals at rates exceeding 124 GBd PAM-4/6 and 112 GBd PAM-8 over long distances using low-cost digital-to-analog converters.
Researchers at Penn Engineering have developed an adjustable filter that can prevent interference and enable the use of higher-frequency bands in wireless communications. The filter, made from a unique material called yttrium iron garnet, is tiny and requires minimal power, making it suitable for future mobile devices.
Researchers aim to create polymers that can form the basis of effective sensors for applications in physiological, environmental, and Internet of Things monitoring. The goal is to increase energy efficiency and broaden material choices, enabling devices to operate at low voltage and interact with ions and transport ionic charges.
Insects like fruit flies use simple, efficient systems to recognize odors. Researchers found that paired olfactory receptor neurons in fly antennae facilitate computations in the central brain through pre-processing stage.
A team of visionaries at the Carney Institute developed 3D-printed brain and spinal cord implants, revolutionizing surgical implantations and optical access. Bioluminescence imaging overcomes limitations of traditional fluorescent microscopy, providing unprecedented observation of neural and vascular activity.
The MiFuture project aims to develop ultra-massive MIMO technology for future cell-free heterogeneous networks, enabling innovative applications such as telesurgery and holographic virtual meetings. Fifteen PhD students will be funded to complete their doctoral studies and generate highly qualified researchers in this field.
Researchers developed a new method to accelerate high-resolution ultrasound localization microscopy using deep learning, enabling faster and more accurate imaging of microvascular structures. The technique, called LOCA-ULM, improves spatial resolution and processing speed while maintaining sensitivity for functional imaging.
A research team has successfully created a new dimension in photonic machine learning by incorporating sound waves, enabling the creation of reconfigurable neuromorphic building blocks. This innovation has the potential to revolutionize computing tasks by providing high-speed and large-capacity solutions.
Researchers from the University of Rochester found that blinking allows brains to process visual information more effectively, providing a new understanding of how humans see. By modulating visual input, blinks reformulate visual signals, enabling better perception of big patterns and overall visual scenes.
Researchers propose a hybrid data driven framework combining VMD, ISSA, and MKSVR to enhance battery SOH estimation and RUL prediction. The approach achieves accurate predictions with high stability.
Researchers have introduced a refined method for analyzing brain signals, providing a more detailed understanding of the brain's complex activity. This enhancement enables scientists to better understand how brain activity correlates with different tasks and behaviors.