Mads Almassalkhi Earns

"Coolest Coop Job" Status for SDL

Out of 260+ "Cool-Coop" entries, the top vote-getter within ECECS was SDL's coop Mads Almassalkhi. Being the top vote-getter within ECECS, Mads was recognized at half-court during the University of Cincinnati men's basketball game on Feb 17, 2006. At SDL, Mads has had a chance to work in-depth with image processing and target separability.

To learn more about the University of Cincinnati's Cool-Coop contest click here.

SDL to Discontinue DSPdeveloper Sales

Due to changes in the current marketing environment, SDL has decided to discontinue the sale of their software product, DSPdeveloper. SDL wishes to thank all DSPdeveloper customers for their patience and understanding in this matter.

SDL Wins Army SBIR Award to Develop an Ultrasonic Communication System

SDL has won a Phase I award from the army to develop a novel communication system for soldiers operating in high-noise environments or under conditions where stealth is required. Currently, the best available communication devices use bone-conduction technology, however the sound fidelity (essentially the bandwidth that can be sent or received) is low, the fit is uncomfortable at best, and painful for long durations, and there is still enough sound leakage to spoil a mission requiring stealth. To address some of these limitations, SDL will examine the feasibility of using a small ultrasonic transducer to both send and receive audible coherent speech via the mechanism of bone vibration.

SDL has won two Phase II SBIR awards and one Phase I SBIR award from the Air Force.  The Phase II awards are focused on improving the performance of radar based automatic target recognition (ATR) systems.  SDL has teamed up with SAIC to develop innovative analysis tools and prediction technology to improve the generation and applicability of synthetic radar signatures.  The three key benefits these SBIRs offer to the ATR community are:

• Statistically accurate, computationally efficient modeling of ground clutter-target interaction for Rayleigh and Kirchoff scattering.
• Tools to map classification performance back onto the EM modeling and validation process
• A method to define inherent separability of target classes from their 3D scattering phenomenology

The Phase I SBIR explores data fusion techniques that are applied to non-destructive evaluation of data.