Award Data

We intend to use the emerging technology of compressed sensing and related new algorithms of information science to (1)increase our capacity for hyperspectral image acquisition beyond current capacity by developing new imaging and spectroscopic systems,(2) expand the frontiers from signal recovery to new applications, emphasizing knowledge learning including target and anamoly detection, and (3)st ...

Gyroscopes are found in nearly every airplane, many cars, robots, missiles, and more. The reason for such broad, wide-spread use is simple: gyroscopes are excellent tools for determining rotation, and can be quite sensitive. Improving the sensitivity of optical gyroscopes while also reducing their size and weight has proven to be a significant challenge. To provide a solution, Los Gatos Researc ...

Aging aircraft commonly suffers from several types of degradation including fatigue cracking and lack of bonding. It is virtually impossible to predict degradation in structural performance or when a component or structure will fail due to the inability to test new material systems under all loading conditions and under all environmental conditions. A material state awareness system using minimali ...

The development of advanced, realtime, operator-in-the-loop tire/track/soil models, which can predict power and energy requirements, is an essential requirement for determining operational profiles for vehicles, especially hybrids, during the design and d

This is a proposal to develop a unique, robust, fieldable, gated, picosecond, digital holography system for characterizing dense particle fields under harsh conditions. Many powerful imaging methods have failed to fulfill this requirement because noise from multiple scattering buries the signal needed to acquire a useful image. Solutions to this limitation are very expensive, hard to implement, an ...

A method is proposed for the simultaneous imaging of temperature and velocity fields inside combustion chambers to enable experimental data on turbulent heat fluxes needed for model validation and development. Applications include turbine engines, afterburners, internal combustion engines, and boilers. Temperature imaging is proposed with laser-induced luminescence imaging of phosphor particles su ...

Metron, Inc. and Stanford University propose to design, develop, test and demonstrate topological data analytic algorithms to analyze hyperspectral imagery. We propose to adapt the topological data analytic techniques, including Stanford’s successful Mapper algorithm, to the hyperspectral imagery domain. Using these algorithms we will identify topological and geometric features and properties ...

The theory of compressive sensing (CS) will be extended to the design of arrays for underwater systems. The underlying theory is applicable to arbitrary sensor arrays, but the focus will be placed on synthetic aperture sonar (SAS). The proposed research will integrate CS with the closely related and evolving field of matrix completion. Concerning the latter, it is assumed that a matrix of noisy da ...

The main objective of the proposed Phase II project is to leverage the technology of THz generation in resonantly-pumped quasi-phase-matched (QPM) GaAs structures, jointly developed by Stanford University and Microtech Instruments, Inc., and create a compact and power-efficient commercial THz source with a mW-level average power. This source will be continuously or step-tunable in the 0.5-3 THz ra ...

New Jersey Microsystems proposes to develop an economical thermopile array with sensitivity maximum in the long wave infrared region (LWIR). Current infrared detectors are too expensive to be widely deployed in large numbers. The proposed MEMS technology is simpler, more manufacturable, and therefore less expensive than bolometer and ferroelectric devices with competitive D* sensitivity. The th ...