Algorithms for Damage Analysis, Detection and Classification

Signal processing techniques play a critical role in the design and analysis of smart systems and structures, particularly in structural health monitoring techniques of aerospace and mechanical systems. From analysis to classification, detection, localization, waveform selection and sensor configuration, signal processing is a major step toward an integrated intelligent system design. Specializations include time-frequency signal processing, waveform-agile sensing, classification techniques, sensor fusion, and detection and estimation theory. Research activities in this area include a NASA grant and an AFOSR-MURI, with ASU as the lead university.

Signal processing techniques play a critical role in the design and analysis of smart systems and structures, particularly in structural health monitoring techniques of aerospace and mechanical systems. From analysis to classification, detection, localization, waveform selection and sensor configuration, signal processing is a major step toward an integrated intelligent system design. Specializations include time-frequency signal processing, waveform-agile sensing, classification techniques, sensor fusion, and detection and estimation theory. Research activities in this area include a NASA grant and an AFOSR-MURI, with ASU as the lead university.

Real-time Digital Signal Processing and Acoustic Monitoring

The signal processing group has extensive experience in the areas of adaptive filtering, algorithms for controls and noise cancellation in airborne structures, spectral analysis, linear prediction, sensor fusion in acoustic sensing, array processing, audio sensing, audio pattern matching, DSP algorithms, A/D conversion, and real time DSP software testbeds. Facilities for real-time DSP, acoustic sensing, and software development include the Digital Signal Processing (DSP) Laboratory, the Speech Processing Laboratory and the Java-DSP Development Laboratory. These labs are equipped with an array of networked state-of-the-art PC workstations running Windows, real-time Texas Instruments DSP boards, real-time wireless crossbow sensor motes, and an anechoic chamber. The facilities are part of the Sensor, Signal and Information Processing (SenSIP) center and consortium.