UCLA researchers in the Department of Electrical and Computer Engineering have developed a wirelessly powered frequency-swept spectroscopy sensor.

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Researchers at the University of California, Davis have developed a new class of lasers and amplifiers that uses a CMOS-compatible electronics platform - and can also be applied to nano-amplifiers and nano-lasers applications.

UCLA researchers in the Department of Electrical and Computer Engineering have developed a low complexity decoding algorithm of cyclic codes with better performance and lower latency than current approaches.

Researchers at the University of California, Davis have developed a multi-wavelength, laser array that generates more precise wavelengths than current technologies. The array also delivers narrow linewidths and can operate athermally.

Researchers at the University of California, Davis have developed a nanophotonic-based platform for signal processing and optical computing in algorithm-based neural networks that is faster and more energy-efficient than current technologies.

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UCLA researchers in the Department of Electrical and Computer Engineering have developed a digital spur cancellation technique for frequency synthesizers used in clock synchronization.

A new framework that enables the estimation of the AoA of signal paths from signal sources (both active transmitters and passive objects), with only signal magnitude measurements.

The invention is a technique that provides a novel, reliable and secure cryptography solution for inter-vehicular visible light communication. Through combining unique data as the road roughness and the driving behavior, a symmetric security key is generated for both communicating vehicles. As the data used is unique to the communicating vehicles only, the generated keys are thus unique, securing a reliable communication channel between both vehicles.

With the emergence of the Internet of Things in smart homes and buildings, determining the identity and mobility of people are key to realizing personalized, context-aware and location-based services - such as adjusting lights and temperature as well as setting preferences of electronic devices in the vicinity. Conventional electronic user identification approaches either require proactive cooperation by users or deployment of dedicated infrastructure. Consequently, existing approaches are intrusive, inconvenient, or expensive to ubiquitously implement. For example: biometric identification requires specific hardware and physical interaction; and vision-based (video) approaches need favorable lighting and introduce privacy issues. To address this situation, researchers at UC Berkeley developed an identification system that uses existing, pervasive WiFi infrastructure and users' WiFi-enabled devices. The innovative Berkeley technology cleverly leverages attributes such as the MAC address and RSS of users' WiFi-enabled devices. Furthermore, the Berkeley approach is facilitated by an unsupervised learning scheme that maps each user identification with associated WiFi-enabled devices. This technology could serve as a vital underpinning for practical personalized context-aware and location-based services in the era of the Internet of Things.

Researchers at the University of California, Davis have developed a quarter-rate serial link receiver with low aperture delay samplers for use in high-speed serial link interconnects in network systems. This receiver decreases the parasitic capacitances that result from threshold adjustments and can drastically decrease the amount of power required for high data rate applications.

Wireless applications are witnessing major advancement in fields like virtual reality and cellular phones, thus requiring much higher data transfer speed. This technology is a novel architecture for wireless receivers that accommodates such targeted high data rates, while maintaining a cost efficient design; power efficient while still utilizing simple circuits design, through replacing complicated digital blocks with innovative analog ones.

Multiple-Input Multiple-Output (MIMO) communication systems, which increase communication speed and signal quality using multi-path propagation, have become an essential part of modern wireless communication such as Wi-Fi and 4G mobile internet connectivity. UCI inventors have developed a wireless communication system architecture that, by using reconfigurable antennas, improves the data throughput capacity and lowers implementation cost and complexity for MIMO communication systems.

Researchers at the University of California, Davis, have developed a chirped grating emitter with ultra-sharp instantaneous field of view (IFOV) for optical beam-steering applications.

UCLA researchers in the department of Electrical Engineering have developed a novel and inexpensive plastic interconnect for high efficiency communication within data centers.

The advent of the Internet of Things (IoT) has drastically increased the potential scale and scope of destruction hackers can cause. Cloud servers now control and monitor devices such as cars, smart home controls, fitness trackers, medical monitoring systems. These cloud-based devices are at risk, however, in that if they become compromised, third parties could gain full control of all devices and stored information associated with that server. UCI researchers have developed the FIDELIUS system, a technique for secure communication and information storage.

Researchers at the University of California, Davis, have developed a new computing and signal processing platform based on nanophotonics and nanoelectronics to decrease power consumption and improve overall computing speed with all-optical inputs and outputs.

Researchers in the Department of Physics have developed a method for detecting localized electrical breakdowns in high power RF networks.

The ever‐increasing bandwidth requirements of modern datacenters have led researchers to propose networks based upon optical circuit switches, but these proposals face significant deployment challenges. In particular, previous proposals dynamically configure circuit switches in response to changes in workload, requiring network‐wide demand estimation, centralized circuit assignment, and tight time synchronization between various network elements— resulting in a complex and unwieldy control plane. Moreover, limitations in the technologies underlying the individual circuit switches restrict both the rate at which they can be reconfigured and the scale of the network that can be constructed; a new approach is necessary.

The invention is a multifunctional electromagnetic structure that enhances antennas performance significantly. Built using an electromagnetic bandgap material, it eliminates scan blindness for phased array structures, along all scan directions. The invention simultaneously improves the radiation pattern as well.

UCLA researchers in the Department of Neurosurgery have developed a method that is capable of mining a collection of monitor alarms to search for specific combinations of encoded monitor alarms to predict certain adverse event, such as in-hospital code blue arrests or other target events.

UCLA researchers have developed a set of source and operation codes for high-throughput (100 Gbps) communication system to approach channel capacity. This technique is unique in that it does not use reverse transmission confirming or denying message reception is provided which saves decoder computational power and improves efficiency especially at/near capacity.