Many achievements of the information age, such as global communication systems, smart antennas, and advanced imaging systems for detection and diagnosis of medical and environmental problems, would not have been possible without advances in the fields of Communications and Digital Signal Processing and without related computational tools. Feedback Control is an essential enabler for applications ranging from high performance electromechanical and power electronic devices to high efficiency and environmentally friendly jet engines. Faculty and graduate students in the CDSP center work on the development, analysis, and implementation of cutting-edge algorithms for these and related problems such as high-performance execution of algorithms, design accessible models of complex and distributed systems, remote sensing, and pattern recognition. Our approaches range from theory development and experimental investigation to practical applications.
- In the area of Communications, we currently focus on designing algorithms for data compression and reliable communication for a variety of source and channel models. The technologies we work on include channel equalization to combat channel intersymbol interference, spread-spectrum techniques for efficient channel usage and for alleviating certain channel impairments, channel-coding algorithms (in particular turbo coding and coded modulation) to increase reliability of communication. We are also working on wireless communication and iterative schemes for coding and equalization. The primary focus of our work on data compression is on the design of joint source-channel coding algorithms and channel-matched source coding algorithms that optimize the source encoder characteristics to the channel statistics or to the channel-coding scheme. Our research on communication and data compression has been used for applications such as coding for storage media, LAN and WAN access protocols, congestion control in ATM/B-ISDN, multiuser wireless communication networks, and adaptive equalization of rapidly fading communications channels for mobile and underwater communications.
- In the area of Digital Signal Processing, we have experience with development of new methods for extraction of information from blurred and noisy data, adaptive algorithms for non-linear and non-stationary signal processing, image processing & remote sensing (see below), diagnosis of hearing impairment, and modeling and simulation of perceptual processes in the auditory system. Applications of this work include DSP for hearing rehabilitation, speech recognition and understanding, handwriting and character recognition, biomedical signal processing, DNA sequence recognition, and detection of polymorphisms.
- In the area of High-Performance Execution, members of the CDSP center are investigating methods and tools to help designers capture specifications of their designs at a high level of abstraction and examine implementation alternatives. In particular, we focus on tools for aiding designers in their implementations of high-performance component-based software on networks of workstations, tools and techniques for mapping algorithms to reconfigurable hardware, and ways of combining hardware and software solutions for maximum performance. We have used these tools and techniques for applications such as wireless receivers, image processing algorithms and motion estimation, among others.
- In the area of Control, we have particular strengths in the areas of robust, multivariable and non-linear control, control-accessible modeling of multidimensional and distributed systems, multi-sensor fusion, and tracking. Our expertise in these areas has been employed in applications such as control of magnetic bearings, control of electric drives and adaptive suppression of vibrations and disturbances, and in modeling and feedback control of fluid flow.
- In the area of Remote Sensing and Pattern Recognition, CDSP faculty and students have focused on rapid acquisition of MRI images, and novel approaches to inverse problems in cardiac electrical imaging, diffuse optical tomography, and non-destructive evaluation. We also have made advances in application areas that include fast MRI, antenna array processing for detection and characterization of buried objects, and localization of focal areas of cardiac electrical activity exhibiting anomalies such as ventricular arrythmias.