This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....
Joffrey Villard, Pascal Bianchi, Eric Moulines, Pa...
Abstract--In a distributed speech recognition (DSR) framework, the speech features are quantized and compressed at the client and recognized at the server. However, recognition acc...
Abstract--In this paper, we derive bounds on the structural similarity (SSIM) index as a function of quantization rate for fixed-rate uniform quantization of image discrete cosine ...
Sumohana S. Channappayya, Alan C. Bovik, Robert W....
Abstract-- This paper presents novel results on Perfect Reconstruction Feedback Quantizers (PRFQs), i.e., noise-shaping, predictive and sigma-delta A/D converters whose signal tran...
Milan S. Derpich, Eduardo I. Silva, Daniel E. Quev...
In this paper, we develop algorithms for distributed computation of averages of the node data over networks with bandwidth/power constraints or large volumes of data. Distributed ...