Signal processing: How did we get to where we’re going?
In a retrospective talk spanning multiple decades, Professor Al Oppenheim looked back over the birth of digital signal processing and shared his thoughts on the future of the field.
In a retrospective talk spanning multiple decades, Professor Al Oppenheim looked back over the birth of digital signal processing and shared his thoughts on the future of the field.
AIMBE's highest honor recognizes MIT professor's contributions to neural signal processing, anesthesiology advances.
Award cites major contributions to statistical analysis of brain activity and advancing the neuroscience of anesthesia.
MIT researchers develop integrated lightwave electronic circuits to detect the phase of ultrafast optical fields.
A cochlear implant that can be wirelessly recharged would use the natural microphone of the middle ear rather than a skull-mounted sensor.
Computer scientists and electrical engineers are devising algorithms that look for useful new patterns in data produced by medical sensors.
A new information-theoretical model of human sensory perception and memory sheds light on some peculiarities of the nervous system.
New software amplifies changes in successive frames of video that are too subtle for the naked eye.
For a large range of practically useful cases, MIT researchers find a way to increase the speed of one of the most important algorithms in the information sciences.
LIDS Director and EECS faculty member Alan S. Willsky has been selected to receive the IEEE Signal Processing Society Technical Achievement Award to be presented in March 2010 at the IEEE International Conference on Acoustics, Speech and Signal Processing.
The theories of an early-19th-century French mathematician have emerged from obscurity to become part of the basic language of engineering.