Sequential signal encoding and estimation for wireless sensor networks

We develop extensions to our techniques in Papadopoulos et al. for signal estimation from sequential encodings in the form of quantized measurements communicated over binary symmetric channels. We show that the channel quality affects not only the quality of the encoding but also its optimality. We also construct encodings from optimized pseudo-noise and feedback-based control inputs, and efficient signal estimators from channel corrupted versions of the encodings