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This paper considers TCQ and LDPC codes for the quadratic Gaussian Wyner-Ziu problem. After TCQ of the source input X, LDPC codes are used to implement Slepian-Wolf coding of the quantized source input Q(X) given the side information Y at the decoder. Assuming ideal Slepian-Wolf coding in the sense of achieving ,the theoretical limit H (Q (X) I Y) , it is… (More)

We consider the problem of minimax robust waveform design for multiple-input multiple-output (MIMO) radar based on mutual information (MI) and minimum mean-square error (MMSE) estimation for target identification and classification. Recognizing that a single, precise characterization of target power spectral density (PSD) is rare in practice, we assume the… (More)

This paper examines near-capacity dirty-paper code designs based on source-channel coding. We first point out that the performance loss in signal-to-noise ratio (SNR) in our code designs can be broken into the sum of the packing loss from channel coding and a modulo loss, which is a function of the granular loss from source coding and the target dirty-paper… (More)

Following recent works on the rate region of the quadratic Gaussian two-terminal source coding problem and limit-approaching code designs, this paper examines multiterminal source coding of two correlated video sequences to save the sum rate over independent coding. Specifically, the first video sequence is coded by H.264 and used at the joint decoder to… (More)

In this paper, we show tightness of the Berger-Tung (BT) sum-rate bound for a new class of quadratic Gaussian multiterminal (MT) source coding problems dubbed bi-eigen equal-variance with equal distortion (BEEV-ED), where the <i>L</i> × <i>L</i> source covariance matrix has equal diagonal elements with two distinct eigenvalues, and the <i>L</i>… (More)

This paper considers a distributed source coding (DSC) problem where <i>L</i> encoders observe noisy linear combinations of <i>K</i> correlated remote Gaussian sources, and separately transmit the compressed observations to the decoder to reconstruct the remote sources subject to a sum-distortion constraint. This DSC problem is referred to as the… (More)

We consider the problem of distributed compression of the difference Z = Y<sub>1</sub> - cY<sub>2</sub> of two jointly Gaussian sources Y<sub>1</sub> and Y<sub>2</sub> under an MSE distortion constraint D on Z. The rate region for this problem is unknown if the correlation coefficient ρ and the weighting factor c satisfy cρ > 0. Inspired by… (More)

We study the generalized quadratic Gaussian CEO problem where K jointly Gaussian remote sources are transformed and independently-Gaussian-corrupted to form L observations, which are separately compressed by L encoders while the decoder attempts to reconstruct the K remote sources subject to a sum-distortion constraint. We first give a sufficient condition… (More)

Multiterminal (MT) source coding refers to separate lossy encoding and joint decoding of multiple correlated sources. Recently, the rate region of both direct and indirect MT source coding in the quadratic Gaussian setup with two encoders was determined. We are thus motivated to design practical MT source codes that can potentially achieve the entire rate… (More)

This paper addresses the problem of optimum radar waveform design for both radars employing a single transmit and receive antenna and the recently proposed multiple-input multiple-output (MIMO) radar. A random target impulse response is used to model the scattering characteristics of the target, and both point and extended radar targets are considered.… (More)