Signal & Image Processing
Signal and image processing affects almost every facet of development. We have extremely strong backgrounds in modern techniques of signal extraction, signal analysis, adaptive filtering, signal fusion, radio, radar, communication, and image analysis.
We are cognizant of the most recent developments in various signal processing techniques and algorithms. Our breadth of expertise covers linear and nonlinear time series analysis, chaos and fractal analysis, Fourier and wavelet analysis, signal and change detection, Bayesian inferences, filtering techniques, multidimensional Kalman and particle filtering, adaptive processing with adaptive filtering, spacetime and space-frequency adaptive processing (STAP and SFAP), beamforming, beamsteering, and finite-element-based modeling.
Many of these techniques are implemented in our proprietary software platform IMPULSE™ and are being used to support several projects involving both simulation and real-time implementation.
IMPULSE™ is specifically tailored for signal processing and is widely used throughout the signal processing community. Its capabilities are being enhanced for image processing applications.
Image processing research is underway for precise metrology, stereo vision, and image analysis. An optical tracking system for monitoring helicopter rotor blade deformation was developed for NASA/AMES and a radar tracker was developed for AFRL.
Currently we are using the IMPULSE™ framework for a major end-to-end simulation of the Joint Precision Approach and Landing System (JPALS). Many other applications of our signal processing capabilities are evidenced by our diverse projects and research activities.
