ASP 2014 - Symposia on Advances in Signal Processing for Mixed-Signal and Optical Sensing: Hardware to Algorithms

This workshop will explore the application of sampling theory to mixed-signal sampling and processing architectures in both electrical and optical domains. This holistic view will highlight recent advances in sampling theory and signal decomposition amenable to sampling, such as mixed-signal hardware architectures and error analysis, parallel analog-to- digital conversion, hyperspectral image processing, and the interaction with parallel DSP.
A symbiotic view of analog and digital is needed to compose system-on-chip architectures for applications such as cognitive radio, incorporating wideband sensing, signal representation and analysis, and demodulation. Mixing continuous-time and discrete-time processing complicates overall system performance modeling and error analysis, and different metrics for optimal design tradeoffs are possible, such as system power consumption, information preservation, dynamic range allowing signal separation, complexity, and adaptability.
Submissions are welcome on topics including:
signal decomposition and sampling theory
mixed-signal sampling architectures
tradeoffs in signal representation, sampling, and applications
performance analysis incorporating sampling into the application
compressed sensing in analog, mixed-signal and digital domains and its applications
optical sensing and applications (e.g., hyperspectral image processing, ladar, etc.)
Keynote Speakers
Stephen D. Casey, Professor of Mathematics, American University
Title: Adaptive Signal Processing
Abstract: Adaptive frequency band (AFB) and ultra-wide-band (UWB) systems require either rapidly changing or very high sampling rates. Conventional analog-to-digital devices have non-adaptive and limited dynamic range. We investigate AFB and UWB signal processing via a basis projection method. The method first windows the signal and then decomposes the signal into a basis via a continuous-time inner product operation, computing the basis coefficients in parallel. The windowing systems are key, and we develop systems that have variable partitioning length, variable roll-off and variable smoothness. These include smooth bounded adaptive partitions of unity created using B-splines, systems developed to preserve orthogonality of any orthonormal systems between adjacent blocks, and almost orthogonal windowing systems that are more computable/constructible than the orthogonality preserving systems. We construct the basis projection method for all three types of windows, analyze various methods for signal segmentation and create systems designed for binary signals. The projection method is, in effect, an adaptive Gabor system for signal analysis. The natural language to express this structure is frame theory. We finish our talk by developing projection as signal adaptive frame theory.
Professor Stephen D. Casey is founding member of the Editorial Board for Sampling Theory in Signal and Image Processing. His research is in complex analysis, harmonic analysis, and number theory with applications to signal and image processing. He has been a Visiting Research Professor at the Institute for Systems Research (ISR) at the University of Maryland, and was a Visiting Research Professor at the Norbert Wiener Center for Harmonic Analysis (NWC) at the University of Maryland. He was recently invited to be an Associate Editor of The Journal of Signal and Image Processing. He is known for his work on multichannel deconvolution and multi-rate sampling, sampling in non-Euclidean geometries, signal adaptive sampling and signal adaptive frame theory, and the analysis of pulse train signals. He has published nearly fifty articles, and is completing work on two invited books. He has given over one hundred talks, lecturing at various universities in Europe, Asia and North America. His research has been funded by eighteen research grants and four contracts, including grants from the National Science Foundation, the Office of Naval Research, the Army Research Office and the Air Force Office of Scientific Research.
Organizers
Chairs:
Brian M. Sadler, Army Research Laboratory
Sebastian Hoyos, Texas A&M University
TPC members:
Ramesh Harjani, University of Minnesota
Gonzalo R. Arce, University of Delaware
Mike Shuo-Wei Chen, University of Southern California
Contacts
For all inquiries and questions please contact Dr. Sebastian Hoyos at hoyos-AT-ece.tamu.edu