Emphasis in the laboratory is on the use of solid theoretical foundations in addition to practical considerations in order to pursue solutions that push performance returns to new levels. Members of the laboratory are encouraged to seek a broad training across disciplines, to always question common "wisdom", and to maintain a heightened degree of awareness for fruitful interactions. They are also encouraged to keep a strong level of mathematical sophistication.

Members of the laboratory are engaged in research investigations along several directions including (recent projects):

• Adaptive filtering analysis and design.
• Wiener and Kalman filtering. Robust filtering.
• Estimation and detection theories; statistical signal processing.
• Distributed adaptive processing. Adaptive networks.
• MIMO signal processing and communications.
• Signal processing for communications (E911,CDMA,OFDM,UWB,optical).
• Signal processing for wireless location (tool).
• Signal processing for sensor and wireless networks.
• Adaptive techniques for spacecraft-to-earth communications for Mars exploration.
• Signal processing for bioinformatics (UBIC).
• Robust filtering and estimation methods.
• Fast algorithms for large-scale structured problems.
• Tracking techniques for wearable computing.
• Delta and sigma-delta modulation algorithms.
• Assessment mechanisms for undergraduate education and accreditation (EEweb).