Efficient Data Acquisition
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Signal Acquisition Modeling Processing and Learning (SAMPL) lab
The Signal Acquisition Modeling Processing and Learning (SAMPL) Lab, headed by Prof. Yonina Eldar, focuses on developing new technologies that more efficiently extract and process signals and information across a wide range of tasks, including medical imaging, radar, communication, scientific and optical imaging and biological inference. The lab also develops model-based methods for artificial intelligence (AI) that aid in obtaining increased information using minimal resources. Read more
The Manya Igel Center for Biomedical Engineering and Signal Processing
Over the course of the last two decades, biomedical engineering has become an essential component of both clinical care and scientific research. Yet, it is still subject to constraints in data acquisition and processing, which limit data quality and resolution and make imaging devices more cumbersome and challenging to operate. Numerous medical devices entail complex setups that involve patient contact and require a high level of technician expertise.
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