Articles tagged with Signal Processing
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.
A Mayo Clinic study found that microglia shield neurons from the aftereffects of anesthesia, enhancing and boosting neuronal activity to awaken the brain. This discovery could lead to new treatments for post-anesthesia delirium and hyperactivity.
Researchers found that individuals who excel at synchronizing speech rhythms can learn new words more efficiently and have stronger connections between brain areas involved in language processing. This ability is stable across time and not dependent on language experience.
Researchers developed ultra-thin defect-free semiconducting fibers, over 100 meters long, which can be woven into fabrics. The fibers demonstrate excellent electrical and optoelectronic performance, enabling various applications such as wearable electronics and sensors.
Scientists have created a way to correct distorted light patterns in real time without needing to reapply the same distortion. This method uses nonlinear optics and exploits difference frequency generation to produce an aberration-free output beam.
Two new studies explore the link between attention and eye movements, showing that attention can be lost when objects change suddenly before gaze falls on them. Researchers also found distinct neuronal signatures in primate visual cortex for attention and eye movement signals.
Researchers at City University of Hong Kong developed mixed-dimensional anti-ambipolar transistors for multifunctional electronics, enabling higher information density and lower power consumption. The new technology paves the way for simplified chip circuit design and versatile applications in digital and analog signal processing.
A new method for phase-modulated stimulated Raman scattering tomography enables rapid, label-free 3D chemical imaging of live cells and tissues. This technique improves lateral resolution and imaging depth compared to conventional methods.
Scientists from Tokyo Tech propose two design techniques to minimize unwanted signals known as fractional spurs, which degrade phase noise in output of the PLL. The first technique uses a cascaded-fractional divider and achieves a -62.1dBc fractional spur, while the second technique employs a pseudo-differential DTC, resulting in an in...
Researchers at Nanyang Technological University, Singapore, have created soft electronic sensors that can detect bioelectric signals from skin, muscles, and organs. These sensors empower individuals with limb disabilities to control robotic prostheses, machinery, and motorized wheelchairs using alternative muscle movements.
Researchers developed a compact, cost-effective PA sensing instrument for biomedical tissue diagnosis, showcasing its potential to streamline sampling processes and improve diagnostic accuracy for breast disease. The instrument successfully differentiated various tissue types based on quantitative spectral parameters.
The study reveals that the superior colliculus is vital in the transition from seeing individual flashes to smooth motion, and may be a key component in creating the continuity illusion. Different methods of measuring the Flicker Fusion Frequency threshold suggest other parts of the brain also play a role in this process.
Assistant Professor Santiago Segarra at Rice University has won the NSF CAREER Award to develop a new approach for AI-powered climate prediction by leveraging structural properties in real-world data. The research aims to create more effective learning algorithms for structured domains.
A team of neuroscientists has discovered that oligodendrocytes, myelin-forming cells, accelerate glucose consumption to deliver energy-rich molecules to rapidly firing axons. This communication is mediated by potassium signals and maintains axonal health.
Researchers at Duke University create a system called MadRadar that can trick automotive radar sensors into believing anything is possible without prior knowledge. The technology can hide existing cars, create phantom vehicles, or make it seem like an actual car has changed course.
Researchers from Osaka University and IMRA AMERICA have developed a photonics-based wireless link that breaks speed records for data transmission. The system achieved a single-channel transmission rate of 240 gigabits per second using ultra-low phase noise, paving the way for near-instantaneous global communication.
Researchers found that brain waves are slower in deep cortical layers and faster in superficial layers, with gamma waves dominating the topmost layers. These oscillations may play a fundamental role in brain function and contribute to disorders such as attention deficit hyperactivity disorder.
Researchers at Tokyo University of Science develop an edge computing device that processes signals in real time using physical reservoir technology, achieving faster data processing and lower computation costs. The device demonstrates enhanced learning capabilities, making it promising for applications in edge computing.
The COSMIC project uses cutting-edge technology to search for extraterrestrial signals, exploring new frequencies and enhancing our understanding of the universe. With its adaptability and future upgrades, COSMIC may cover more stars and unlock new explorations.
A team of scientists used functional near-infrared spectroscopy (fNIRS) to measure brain activity in two key visual regions, the lateral occipital complex (LOC) and fusiform face area (FFA). The study found that fNIRS successfully measured LOC activity but had limitations in detecting FFA activity due to its depth. This research has th...
A team of researchers, led by Associate Professor Hiroyuki Fujioka from Tokyo Institute of Technology, investigated the feasibility of bound tetraneutron emission in thermal neutron-induced fission of Uranium-235. They found that the instrumental neutron activation method can be applied to address open questions in nuclear physics.
A research team developed electrostatic materials capable of responding to weak ultrasound, generating static electricity for implantable neurological stimulators. The technology eliminates the need for batteries, reduces device size, and minimizes strain on the human body. Experimental validation confirms its effectiveness in animal m...
A new study published in Nature Human Behaviour found that the colour of light has a limited impact on the human internal clock and sleep. The researchers exposed volunteers to different coloured lights, including blueish and yellowish lights, to determine their effect on the body.
Researchers used AI to analyze electroretinogram signals from children's eyes, identifying unique features associated with autism spectrum disorder (ASD). The test, completed within 10 minutes, shows promise for diagnosing ASD more accurately and efficiently than current methods.
Researchers discovered a novel therapeutic target BAMBI that suppresses immune cells, reducing the effectiveness of radiation therapy and inducing therapy resistance in cancer patients. BAMBI's expression is associated with improved survival rates, suggesting it as a promising approach to overcome radiation therapy resistance.
Researchers have developed an AI-powered system to diagnose autism spectrum disorder (ASD) in children using a single flash of light to the eye. The system uses electroretinography (ERG) to identify specific features that classify ASD, providing a faster and more accurate method for diagnosis than existing tests.
Researchers used NIRS to track oxygenated hemoglobin levels in infant brains responding to gentle touch. They found similar response times across age groups, but varying signal amplitudes that may be linked to changes in blood flow and erythropoietin production.
Researchers have discovered that the waxy protective barrier around plants plays a role in sending chemical signals to other plants and insects. This discovery might eventually be harnessed to develop stronger plants that can deal with challenging environmental conditions.
Researchers developed a novel approach to integrate multiple functions into a single chip using monolithic 3D integration of layered 2D materials. This technology offers unprecedented efficiency and performance in AI computing tasks, enabling faster processing, less energy consumption, and enhanced security.
Researchers developed three diffractive deep neural networks using orbital angular momentum to recognize objects in images, achieving accuracy comparable to wavelength and polarization-based models. The technology has potential for real-time processing applications like image recognition and data-intensive tasks.
Researchers developed an ingestible capsule to measure vital signs from within the GI tract, detecting sleep apnea episodes and breathing rate depression. The device shows promise for early detection of respiratory changes, including those caused by opioids or asthma/COPD.
Researchers developed a deep convolutional neural network to pinpoint cardiac catheter tip locations in photoacoustic images, achieving high precision and recall. The approach has the potential to replace fluoroscopy during cardiac interventions, leading to safer procedures.
EPFL researchers have developed the world's first large-scale in-memory processor using 2D semiconductor materials, which could substantially cut the ICT sector's energy footprint. The processor combines data processing and storage onto a single device, reducing energy waste and improving efficiency.
A team led by Lehigh University's Yahong Rosa Zheng is developing an Autonomous Observatory Node that can collect and transmit data from underwater sensors wirelessly, without the need for expensive subsea cables. The prototype aims to operate at depths of up to 1000 meters, enabling researchers to study extreme environments and detect...
Researchers from Incheon National University create gelatin patches that generate molecular oxygen to accelerate wound healing. The new hydrogels demonstrate improved coagulation, blood closure, and neovascularization in both in vitro and in vivo experiments.
Researchers from Fudan University and others report a new method to analyze lattice vibrations and excitations in materials using terahertz difference frequency mixing. The technique offers sub-monolayer sensitivity for studying interface properties of complex oxides.
Scientists create a low-cost, room-temperature single-photon light source by doping optical fibers with ytterbium ions, paving the way for affordable quantum technologies. The innovation overcomes cooling system limitations, enabling applications in true random number generation, quantum communication and high-resolution image analysis.
Researchers are combining biology, physics, computer science, and engineering to design electric circuits that mimic the brain's adaptive behavior. The goal is to create a more efficient AI application that can learn from history and adapt without significant energy consumption.
A study in mice finds that two proteins, MAP6 and Kv3.1, interact to control movement, memory, and anxiety. Disrupting this interaction can lead to behavioral changes, including hyperactivity and impaired memory, highlighting potential new targets for schizophrenia treatment.
Researchers developed a neural network model to accelerate detection of brain rhythms, reducing feedback signal delay from 500ms to 10ms. The approach shows promise for treating attention deficit disorder and epilepsy.
A team of NYU researchers developed a vocal reconstruction technology that recreates the voices of patients who have lost their ability to speak. By analyzing brain recordings, they disentangled the intricate processes of feedback and feedforward during speech production.
Researchers at Nagoya University developed a niobium waveguide that enhances high-precision communications for Beyond 5G/6G networks. The waveguide's conductivity improves with cooling, reducing losses and increasing data transmission accuracy.
A joint research team published a review on in-sensor visual computing, a three-in-one hardware solution that overcomes high latency, power consumption, and privacy risks. The SCAMP chip is a key device, enabling general-purpose, programmable, and massively parallel systems for robotics and computer vision.
Researchers at the University of Tokyo have developed a new technique to protect sensitive AI-based applications from attackers. By adding random noise to the inner layers of neural networks, they improved the resilience of these systems. This approach promotes greater adaptability and reduces susceptibility to simulated adversarial at...
Scientists have developed a nonrelativistic and nonmagnetic mechanism for generating terahertz waves, harnessing the electrical anisotropy of two conductive oxides. This approach produces signals comparable to commercial terahertz sources and offers a high terahertz conversion efficiency.
Researchers at NUS have developed an aero-elastic pressure sensor called eAir, promising increased precision and reliability in medical applications. The sensor can provide tactile feedback for surgeons during minimally-invasive surgeries, enhancing patient recovery and prognosis.
A team of researchers has discovered a way to harness random telegraph noises in semiconductors, generating high-amplitude signals and manifesting inherent quantum states. By introducing vanadium into tungsten diselenide, they created a device that can switch between two stable states using voltage polarity.
A WVU team is developing technology to detect and track lethal non-trackable space debris. The project aims to identify objects that can cause mission-ending damage to satellites and other space assets. The researchers will use a digital twin and simulation environment to test and evaluate their findings.
A team of researchers developed a novel method that leverages temporal characteristics of blood pulse to estimate heart rates with improved accuracy, especially in scenes with ambient light fluctuations. The proposed method showed a 36.5% improvement in estimation accuracy compared to conventional methods.
Macquarie University engineers have developed a new technique to make nanosensors using a single drop of ethanol, bypassing the need for high temperatures. The method improves efficiency and responsiveness, opening up new possibilities for the trillion-dollar global industry.
Researchers have discovered a way to utilize nonlinear scattering media for optical computing and machine learning. They created a novel theoretical framework involving third-order tensors, which can represent the complex relationships between input and output signals. This breakthrough has potential applications in real-world settings...
Researchers from the University of Tokyo and Stanford University analyze slow and fast earthquakes, showing that their magnitudes vary with time. The study confirms the scaling law for slow earthquakes, which defines the relationship between magnitude and duration, and reveals physical processes governing events.
A novel Raman technique called thermostable-Raman-interaction-profiling (TRIP) allows for label-free and highly reproducible Raman spectroscopy measurements, breaking a 50-year-old challenge. The TRIP method enables the detection of protein-ligand interactions in real-time, potentially shortening drug and vaccine testing timelines.
Researchers discovered lactate's role in helping neural stem cells develop into specialized neurons. Lactate sends signals to cells, modifying and strengthening neuronal functions. The study provides insight into lactate signaling in the nervous system, with potential applications for preventing or controlling cognitive diseases.
Researchers have proposed an innovative solution to address limitations of lidar technology, enabling imaging in low SNR environments. The novel technique uses a high-scanning speed AOD and metasurface-enhanced scanning lidar, extending ambiguity range by up to 35 times.