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In this paper, we study the zero-delay source-channel coding problem, and specifically the problem of obtaining the vector transformations that optimally map between the m-dimensional source space and the k-dimensional channel space, under a given transmission power constraint and for the mean square error distortion. We first study the functional properties of this problem and show that the objective...
In this work, localizing a capsule endoscope within the gastrointestinal tract is addressed. It is assumed that the capsule is equipped with a magnet, and that a magnetic sensor network measures the flux from this magnet. We assume no prior knowledge on the source location, and that the measurements collected by the sensors are corrupted by thermal Gaussian noise only. Under these assumptions, we...
Estimating an unknown parameter using a sensor network has been considered when the fusion center receives only one bit from each sensor. The network is divided to a number of groups and all sensors in a group use a fixed and equal threshold for quantization. A combined weighted estimation structure has been proposed. At the fusion center weights are assigned to each group of sensors based on their...
This paper focuses on optimal analog mappings for zero-delay, distributed source-channel coding. The objective is to obtain the optimal vector transformations that map between m-dimensional source spaces and k-dimensional channel spaces, subject to a prescribed power constraint and assuming the mean square error distortion measure. Closed-form necessary conditions for optimality of encoding and decoding...
What is the optimal source-channel communication system for a given finite block length? The problem of obtaining the vector transformations that optimally map between the m-dimensional source space and the k-dimensional channel space is considered under a given channel power constraint and mean square error distortion measure. Closed form necessary conditions for optimality of the encoder and decoder...
The paper presents results for PCM- and DPCM-like signal compression schemes that incorporate lowpass -filtering and downsampling prior to the actual encoder, and corresponding upsampling and filtering to reconstruct the signal to the original rate after the decoder. This scheme is suggested by rate-distortion theory for coding signals with monotonically decaying spectra at low rate. The cutoff frequencies...
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