This paper considers delay-free, low complexity, joint source-channel coding (JSCC) for communication of two correlated Gaussian memoryless sources over a Gaussian Multiple Access Channel (GMAC). Schemes are proposed both for cooperative and distributed encoders. The cooperative case is mainly studied to get an idea about how close one can expect to get to the performance upper bound with a zer...

With the rapid growth of data communication infrastructure, there has been an increasing demand for multimedia communication services over the past years. This rapid growth has posed new requirements and challenges in many related research areas. This dissertation studies the problem of efficient and robust transmission of image and video content over noisy channels. Firstly, joint source/chann...

In this work, we describe the application of generalized multiple description (MD) source coding architected through the usage of forward error correction (FEC) codes to achieve robust and e$cient Internet video streaming and multicast consistent with the existing Internet architecture. We highlight the synergistic interaction between the robust source coding and packetization strategy and an e...

The Karhunen-Loève transform (KLT) is a key element of many signal processing and communication tasks. Many recent applications involve distributed signal processing, where it is not generally possible to apply the KLT to the entire signal; rather, the KLT must be approximated in a distributed fashion. This paper investigates such distributed approaches to the KLT, where several distributed ter...

Index coding is often studied with the assumption that a single source has all the messages requested by the receivers. We refer to this as centralized index coding. In contrast, this paper focuses on distributed index coding and addresses the following question: How does the availability of messages at distributed sources (storage nodes) affect the solutions and achievable rates of index codin...

It has recently been shown that for an image or video transmission scheme to be both eecient and robust in practice that a joint source-channel coding approach is necessary. In this work, we discuss recent eeorts in the eld of joint source-channel coding of images and video. We then present a general methodology for determining the optimal tradeoo between source and channel coding as a function...

The combination of source coding with decoder side-information (Wyner-Ziv problem) and channel coding with encoder side-information (Gel’fand-Pinsker problem) can be optimally solved using the separation principle. In this work we show an alternative scheme for the quadratic-Gaussian case, which merges source and channel coding. This scheme achieves the optimal performance by a applying modulo-...

Distributed coding is a new paradigm for video transmission, based on the Wyner-Ziv theorem. In this thesis, a new Wyner-Ziv codec was proposed using non-binary Low-Density Parity-Check (LDPC) codes. Non-binary LDPC codes, developed for use in channel coding, have been extended for source coding to compress correlated non-binary sources, such as video. The approach is based on considering the c...