Prof. Alan V Oppenheim

The Digital Signal Processing Group in the MIT Research Laboratory of Electronics focuses on developing general methods for signal processing that can be applied to a wide range of applications. Research over the last four decades has focused both on traditional areas such as signal modeling, sampling and signal representations, and signal estimation, and on non-traditional topics such as fractal signals and chaotic behavior in nonlinear dynamic systems. Some of the specific classes of signals that we have studied include speech, images, sensor network data, communication signals, and signals associated with problems in ocean acoustics. We also often look to nature for inspiration and as a metaphor for new signal processing directions. Currently, we are studying signal processing in cell biology both to model signal processing mechanisms in those systems and to use them as a potential metaphor for new signal processing algorithms.