  The restricted isometry property (RIP) is an important matrix condition in
compressed sensing, but the best matrix constructions to date use randomness.
This paper leverages pseudorandom properties of the Legendre symbol to reduce
the number of random bits in an RIP matrix with Bernoulli entries. In this
regard, the Legendre symbol is not special---our main result naturally
generalizes to any small-bias sample space. We also conjecture that no random
bits are necessary for our Legendre symbol--based construction.
