SAMPL Lab Information

The SAMPL Lab, headed by Prof. Yonina Eldar, focuses on sampling, modeling and processing of continuous-time and discrete-time signals. Traditional systems treat the sampling and processing stages separately and require sampling at the well-known Nyquist rate. In contrast, SAMPL research focuses on new design paradigms in which sampling and processing are designed jointly in order to exploit signal properties already in the sampling stage. This approach has the potential to drastically reduce the sampling and processing rates well below the Nyquist rate, typically considered as the ultimate limit for analog to digital conversion. The proposed prototypes can reduce power consumption, hardware size and complexity, and enable efficient wideband sensing. The lab facilitates the transition from pure theoretical research to the development, design and implementation of prototype systems. SAMPL Lab integrates these new ideas directly into technology by close collaboration with leading industrial companies. Systems developed in the lab demonstrate the research results and technology advances in a wide range of applications ranging from bio-imaging such as 3D ultrasound and MRI through communications, laser optics, cognitive radio and radar systems.