Signal Innovations Group, Inc.
| 4721 Emperor Blvd.
Durham, NC, 27703-
|Socially and Economically Disadvantaged:||N|
|Number of Employees:||31|
Signal Innovations Group (SIG) proposes a Phase II program that addresses three primary capabilities for applications involving high-dimensional observed data: reversible nonlinear data dimensionality ...SBIR Phase II 2014 NavyDepartment of DefenseDepartment of Defense
ABSTRACT: The Phase II program will develop and mature a new salient physics-driven solution for CID feature design and classification to support onboard CID and decision fusion for remotely piloted ...SBIR Phase II 2014 Air ForceDepartment of DefenseDepartment of Defense
The detection and tracking of dismounts and the identification of threatening dismounts are critical challenges for ensuring mission success and troop safety when conducting tactical vehicle operation ...SBIR Phase II 2013 Department of DefenseArmyDepartment of Defense
ABSTRACT: Current automatic target recognition (ATR) training processes require expensive data collections or extensive, high fidelity target modeling and validation whose costs and lead times will l ...SBIR Phase I 2013 Department of DefenseAir ForceDepartment of Defense
Signal Innovations Group proposes a hierarchical Bayesian approach for non-linear dimensionality reduction that addresses three key challenges: learning a reversible mapping from a high-dimensional ob ...SBIR Phase I 2013 NavyDepartment of DefenseDepartment of Defense
ABSTRACT: This program will develop salient feature analysis and saliency cueing capabilities for SAR-based exploitation and demonstrate this technology with operationally relevant data and classifie ...SBIR Phase II 2013 Air ForceDepartment of DefenseDepartment of Defense
ABSTRACT: The Air Force has invested considerable resources into collecting and synthesizing radar data for training and testing ATC/R systems. Significant cost savings may be realized if these exis ...SBIR Phase I 2012 Department of DefenseAir ForceDepartment of Defense
The proposed Phase I program will develop a Bayesian framework for modeling and predicting track uncertainty and performance as a function of OCs and integrate this framework with algorithms for track ...SBIR Phase I 2011 Department of DefenseAir ForceDepartment of Defense
Situational awareness is paramount when conducting operations in potentially hostile terrain. Vehicle operators must focus on multiple tasks simultaneously: navigation, collision avoidance, location ...SBIR Phase I 2011 Department of DefenseArmyDepartment of Defense
Fully automated approaches to target detection are efficient at processing large amounts of data but often rely heavily on the training data and the model employed. Training data and modeling assumpti ...SBIR Phase II 2011 Department of DefenseArmyDepartment of Defense