The Theory of Finite Fields for Optimized Compressed Sensing Schemes
It has been shown1 that Linear Feedback Shift Registers (LFSR) can serve as a Radar sensor by random demodulation that enables significantly lower data-rates than dictated by the Nyquist-Sampling Theorem. At the same time they can be implemented very efficiently in silicon, while still allowing high configurability. This makes this approach a prime candidate for a wide range of Radar and inspection applications, but it requires a thorough study of the resulting theoretically achieveable performance.
