Articles tagged with Signal Processing
A Surrey-based team won the top spot in the DCASE 2018 Challenge, a machine learning competition focused on audio classification. The CVSSP's AI-powered system uses artificial intelligence to simulate human auditory function and improve situational awareness of sounds.
A team of scientists from Lehigh University has successfully engineered a living neural network that can perform basic learning tasks. The project, supported by the National Science Foundation, aims to develop new ways to think about computer design and may influence brain-related research.
Researchers discovered a security hole in popular encryption software that could have allowed hackers to steal encryption keys from smartphones by intercepting electromagnetic signals. A fix for the vulnerability was adopted in software versions made available in May.
Researchers at NIST have used LADAR to map distances to objects melting behind flames with precision of 30 micrometers or better. The method could help overcome challenges posed by structural fires.
The ShakeAlert system, developed for the US West Coast, is fine-tuning a U.S. prototype that could be in limited public use in 2018. Key components include dense networks of seismic stations and education/training on using alerts.
Researchers use terahertz scanning and advanced signal processing to analyze paintings from the 17th century, uncovering previously unknown details such as restorations and varnish layers. The technique has potential applications beyond art conservation, including detecting skin cancer and measuring paint thickness.
A team of researchers from UNIST and Korea University has developed a self-sustaining sensor platform to monitor water motion dynamics, frequency, and amplitude. The platform harnesses energy from water motion to perform multiple functions simultaneously, enabling continuous monitoring without external power source.
Scientists at Queen Mary University of London use the Filter Diagonalisation Method to analyze vibrato, a common musical effect that adds expressivity and enhances sound quality. The technique, originating from quantum physics, allows for precise analysis of music signals with great precision.
Researchers from ITMO University and their European colleagues created quasiparticles called excitons, fully controllable and room-temperature capable. These particles can generate light in LEDs and lasers, while also being used for recording optical signals.
Xia emphasizes that big data is about more than just numbers and requires new mathematical methods to analyze. Researchers in mathematics, signal processing, and computer science must develop these new tools to unlock the full potential of big data.
Scientists have discovered how sensory nerve cells work together to transmit itch signals, identifying a new potential target for treating itching. The discovery suggests that interfering with the activity of sensory neurons may inhibit multiple types of itching.
Researchers used machine learning to analyze caregiver responses and identified five ADI-R questions that maintained 95% of the instrument's performance. This could reduce administrative time and customize questions for individualized intervention. The study suggests a more data-informed approach to autism diagnosis and support.
A novel fault diagnosis method using resonance-based sparse signal decomposition and principal component analysis is proposed to diagnose early faults of rolling bearings. The experimental results show that the proposed method quickly discerns faulty elements, improving diagnostic accuracy.
Researchers at Disney Research and Carnegie Mellon University have developed a framework called RapID that interprets RFID signals by weighing possibilities, reducing lag times from two seconds to less than 200 milliseconds. This enables the use of low-cost RFID tags in interactive objects, such as games, toys, and physical interfaces.
Scientists at Disney Research have developed a method to differentiate between even seemingly identical electronic devices using their unique radio frequency emissions. The EM-ID system achieved 95% accuracy in identifying individual devices, with limitations including the need for powered-on devices and potential signal overlap.
Researchers at Dartmouth College used fMRI to explore neural mechanisms behind filling in missing details of sensory information. The study found that intermediate object features are reconstructed in neural responses at early stages of cortical processing.
Brian G. Ferguson has been awarded the Acoustical Society of America's Silver Medal in Signal Processing in Acoustics for his work on in-air and in-water acoustic classification, localization, and tracking. He is recognized for his research accomplishments in acoustics, which have defense and national security applications.
The LDM system developed at UPV/EHU has been selected as the technology for the new digital standard in North America, allowing for simultaneous use of TV channels on the UHF band. This system significantly improves the use of the radioelectric spectrum, enabling services such as Ultra High Definition TV and mobile phone broadcasting.
The study found that decisional bias is more lenient for younger children when highlighting bad intent or damage, and changes with age as they develop their understanding of the task. The research suggests a moral development framework to examine developmental changes in eyewitness identification.
Researchers at UCL have developed a new method to process fibre optic signals, which can correct corrupted data and increase the useful capacity of fibres. This technique has the potential to double the distance data can travel error-free through sub-marine cables.
A new analysis method called fractal Fourier analysis breaks down complicated signals into well-understood building blocks, similar to conventional Fourier analysis. This approach could help scientists better understand natural phenomena like nerve impulses and brain waves.
Researchers developed a novel computational model to capture the process of reaching consensus in social networks. The model analyzes communication patterns and handles uncertainties associated with soft data, establishing conditions for agents to reach a consensus that is consistent with the ground truth.
Researchers at the Tata Institute of Fundamental Research have discovered a gene named Lhx2 that plays a crucial role in forming high-resolution neurocircuitry for touch in mice. The study reveals that this gene is essential for the formation of 'barrels' and 'cores' in the brain, which enable rapid whisking and environmental assessment.
A new approach achieves independent listening zones within a car by using small, modified speakers to produce directional sound fields. The new design optimizes audio signals used to drive each of the speakers, reducing intergenerational audio conflict in cars.
UT Arlington professor Qilian Liang has developed an algorithmic system that simplifies data collection for radar systems, allowing for better performance with less data. The system uses co-prime and nested samplings to eliminate redundant data, resulting in faster decision-making and more efficient image formation.
Researchers developed a large dynamic, reconfigurable, distributed I-ROF system to meet the growing demand for broadband and ubiquitous information access. The system offers flexible wireless access and fiber-optic broadband transmission, providing effective solutions for modern information society.
Researchers have developed autonomous self-assembling electronic microreagents to jointly direct complex chemical reactions and analyses in solutions. The project MICREAgents will create programmable microscale electronic chemistry, containing electronic circuits on 3D microchips called lablets.
Researchers have developed a system that mimics dolphins' nonlinear sonar processing to distinguish targets from clutter in bubbly water. This technology has potential applications for detecting sea mines and other underwater targets.
Researchers developed a machine learning-based system to automatically recognize users' emotional states and adapt dialogues accordingly. The system can detect negative emotions like anger, boredom, and doubt using acoustic parameters, and predict user intentions to improve dialogue flow.
Researchers found that nude bodies are processed more efficiently by the brain than clothed bodies, even at an early stage of visual processing. This effect is strongest for pictures of nude female bodies, and may play a role in reproduction.
Researchers at Arizona State University have discovered a core with an iron-rich center, resembling Earth's core, using array processing techniques on Apollo seismic data. The discovery sheds light on the lunar interior's composition and structure, providing insights into the Moon's ancient origins.
Researchers have recorded and recreated Egyptian fruit bats' echolocation calls, allowing them to apply the technique to human engineering systems. The study will enhance information on robotic vehicles' locations, detecting structural flaws.
The first antenna of the Australia Square Kilometre Array Pathfinder (ASKAP) telescope has received its first radio signals, paving the way for further development. The successful test demonstrates the feasibility of ASKAP's innovative design and sets a promising stage for the future telescope's scientific discoveries.
Scientists have confirmed a unified theory about how the brain processes speech and language, suggesting that two parallel pathways process complex auditory signals. The findings, published in Nature Neuroscience, provide insight into disorders such as autism and schizophrenia, and may lead to better treatment options.
Researchers at UC San Diego are building low-cost, low-power modems for short-range underwater networking, enabling higher sampling rates and more frequent data collection. The project aims to create a network of underwater sensors that can provide real-time environmental data, revolutionizing the way we understand our natural world.
The AsAP chip, designed by the University of California - Davis team, offers breakthrough speeds with low power consumption. It can perform half a trillion operations per second at slower speeds than common digital signal processing chips.
Yeheskel Bar-Ness, a prominent expert in wireless communications and signal processing, has been recognized with the Thomas Alva Edison Patent Award. His innovative work on MIMO-OFDM technology will facilitate the transport of five times more data traffic than today's most advanced networks.
GTRI researchers patented a digital process for aircraft radar warning receivers, improving stability and reducing cost. The new digital crystal video receiver can detect RF signals over a wide range of frequencies, making it more robust and efficient.
Researchers use digital signal processing methods to eliminate echoes and scatter, enabling high-speed data transfer through the atmosphere. The approach provides fiber optic quality signals for improved air-to-air and ground-to-air communication links.
An Emory study found that estrogen affects the selectivity of gene expression in response to song and beeps. Hormone-treated female white-throated sparrows responded with mating moves to seductive male songs but ignored synthetic beeps, while untreated females showed no reaction.
Researchers at NASA's Goddard Space Flight Center have built an SDR test-bed to investigate and develop communication and navigation algorithms. This technology enables electronic devices to quickly change functions on demand, such as adapting a cell phone into a video camera or satellite interaction.
A new study published in Nature Neuroscience reveals that a specific group of neurons in the brain, known as the ARC pacemaker, play a crucial role in regulating hunger and satiety signals. This finely balanced mechanism can go wrong if one small error occurs, leading to difficulties in weight management through diet and exercise alone.
Researchers aim to develop AI system that can assess acoustic qualities of spaces using music played in the room. The project has £70,000 funding and could provide solutions for architects and the construction industry.
Researchers used seismic signals and computer analysis to derive outlines of possible secondary faults in the San Andreas Fault zone. The study's findings suggest that continued drilling will encounter significant structures before reaching the fault zone.
Researchers have developed a new method to non-destructively detect moisture within wall construction using ultra wide-band radio waves. Laboratory experiments demonstrated the ability to locate moisture pockets to within one centimeter, producing detailed three-dimensional maps of wet areas.
Binghamton University has received a $10 million grant from the National Institute on Deafness and Other Communication Disorders to develop more effective hearing aids. The project aims to dramatically improve speech intelligibility in noisy environments, benefiting over 28 million Americans with hearing loss.
Researchers have developed a smart brick that can monitor a building's temperature, vibration, and movement, providing vital information for firefighters and rescue workers. The device uses sensor fusion, signal processing, and wireless communication to report conditions remotely, enabling improved safety and comfort.
Carbon nanotubes have been shown to exhibit exceptional mechanical properties, enabling the creation of high-speed electronic devices. The breakthrough could lead to the development of hand-held DNA detectors, superfast optical detectors, and computer chip speeds faster than current Pentium processors.
Researchers from the University of Warwick, Leicester, and Edinburgh are developing a nanotechnology-based electronic nose that mimics human olfactory sensors. The device aims to improve the sensitivity and processing power of existing electronic noses, allowing for real-time monitoring of environmental pollutants and food safety.
Scientists at Duke University have developed a neural system that enables monkeys to control a robot arm using their brain signals, detected by implanted electrodes. The system could form the basis for a brain-machine interface to help paralyzed patients control prosthetic limbs.
Researchers at the University of Rochester have created a model called Complexity-Adaptive Processing (CAP) that monitors and adapts software's use of microprocessor hardware. Early tests show CAP can halve energy consumption while improving performance, paving the way for more efficient processors.
Applause dynamics studied using physics principles reveal social self-organization and synchronization processes. Researchers found that individual clapping frequencies play a crucial role in achieving synchronization, leading to increased volume and decreased noise intensity.
Scientists discover Munc13-1 regulates the readily releasable pool of synaptic vesicles, leading to a functional shutdown of synapses. Without Munc13-1, nerve cells cannot signal due to an arrest in vesicle maturation, highlighting its essential role in neurotransmitter release.
A computer model developed by Jay Rubinstein suggests that increasing the signal pulses from external processors can produce more independent neuron activity, similar to natural acoustic stimulation. This breakthrough could lead to substantial improvements in all types of sound coding for people with cochlear implants.
Researchers found that the brain enhances pain signals through silent synapses, which can lead to persistent pain. Blocking these pathways may lead to better treatments for chronic pain.
A Virginia Tech student group, led by Kimberly Phillips, has been named a semi-finalist in the TI Digital Signal Processing (DSP) Solutions Challenge. They have developed a theoretical design to triple cellular communications system capacity and improve reliability of wireless calls, promising reduced tower size and increased range.
Research at the Weizmann Institute found that the brain uses a frequency modulation (FM) receiver-like mechanism to decode sensory information gathered through touch. This discovery provides a possible new explanation for how the brain processes sensory input, and could lead to advances in understanding the neural code.
A Stanford doctoral student has developed a dynamic control system that uses Global Positioning System signals to actively control errant oscillations in large space structures. The system can detect centimeter-level precision and automatically fire thrusters to compensate for wayward motions, allowing for stable structure operation.
Researchers at Virginia Tech have developed a supercomputer that can process complex data in real-time, reducing the need for expensive custom signal processing chips. The new platform uses Wormhole RTR to allocate resources and pathways dynamically, allowing streams of data to navigate themselves through the system.
A groundbreaking study reveals that brain cells belong to multiple groups and change their affiliation according to the task, coordinating processes involved in vision, hearing, and movement control. This finding has implications for neurology and computer science.