Pradeepa Yahampath

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Finite state vector quantization over a noisy channel is studied. A major drawback of a finite-state decoder is its inability to track the encoder in the presence of channel noise. In order to over come this problem, we propose a non-tracking decoder which directly estimates the codevec-tors used by a finite-state encoder. The design of channel matched(More)
Scalable joint decoding of correlated observations transmitted using distributed quantization in a sensor-network is considered. In particular, quantized observations are modeled as a Markov-random filed (MRF), from which we construct a factor-graph for implementing the decoder using the well known sum-product algorithm. An attractive property of this(More)