Distributed source coding using serially-concatenated-accumulate codes
We describe a practical method for distributed compression of q-ary sources using multi-level serially concatenated-accumulate codes. Our approach works well at high compression rates, and allows for graceful and incremental rate-adaptivity. Simulations show that the compression efficiency is near the information-theoretic limits for correlations between sources that obey a Gaussian or Laplacian distribution.