نتایج جستجو برای: robust distributed source coding

تعداد نتایج: 964140  

2003
Bin Zhao Matthew C. Valenti

A novel coding technique, termed distributed turbo coding, is proposed for the quasi-static relay channel. The source broadcasts a recursive code to both relay and destination. After detecting the data broadcasted by the source, the relay interleaves and re-encodes the message prior to forwarding it to the destination. Because the destination receives both codes in parallel, a distributed turbo...

Journal: :IEEE Trans. Circuits Syst. Video Techn. 2002
Zhihai He Sanjit K. Mitra

We show that, in any typical transform coding systems, there is always a linear relationship between the coding bit rate and the percentage of zeros among the quantized transform coefficients, denoted by . Based on Shannon’s source coding theorem, a theoretical justification is provided for this linear source model. The physical meaning of the model parameter is also discussed. We show that it ...

Journal: :CoRR 2010
Farzad Rezaei Charalambos D. Charalambous Photios Stavrou

This paper deals with rate distortion or source coding with fidelity criterion, in measure spaces, for a class of source distributions. The class of source distributions is described by a relative entropy constraint set between the true and a nominal distribution. The rate distortion problem for the class is thus formulated and solved using minimax strategies, which result in robust source codi...

Journal: :IEEE Communications Letters 2008

2003
K. Solanki

This paper provides a summary of our work over the past two years on robust, high-volume data hiding in images. We first present a basic framework for imageadaptive hiding, which allows selection of the coefficients in which to hide, and employs powerful “turbo-like” erasures and errors codes in a novel manner to prevent desynchronization of encoder and decoder due to selective embedding. This ...

2005
Yong Sun

Source-channel Coding for Robust Image Transmission and for Dirty-paper Coding. (December 2005) Yong Sun, B.S., Tsinghua University, Beijing, P.R.China; M.S., Tsinghua University, Beijing, P.R.China Chair of Advisory Committee: Dr. Zixiang Xiong In this dissertation, we studied two seemingly uncorrelated, but conceptually related problems in terms of source-channel coding: 1) wireless image tra...

2007
Li-Wei Kang Chun-Shien Lu

To meet the requirement of distributed video coding (DVC) in resource-limited sensor networks, Wyner-Ziv theorem-based source coding with side information only available at the decoder states that an intraframe encoder with interframe decoder system can achieve comparable coding efficiency of a conventional interframe encoder and interframe decoder system. In this paper, firstly, a block discre...

Journal: :EURASIP J. Adv. Sig. Proc. 2004
Jie Song K. J. Ray Liu

A new integrated framework for source and channel rate allocation is presented for video coding and transmission over wireless channels without feedback channels available. For a fixed total channel bit rate and a finite number of channel coding rates, the proposed scheme can obtain the near-optimal source and channel coding pair and corresponding robust video coding scheme such that the expect...

Journal: :journal of advances in computer research 2014
maryam javaherian abolfazl t.haghighat

nowadays, wireless sensor network has been of interest to investigators and the greatest challenge in this part is the limited energy of sensors. sensors usually are in the harsh environments and transit in these environments is hard and impossible and moreover the nodes use non- replaceable batteries. because of this, saving energy is very important. in this paper we tried to decrease hard and...

Journal: :Int. J. Digital Multimedia Broadcasting 2008
Ozgun Y. Bursalioglu Maria Fresia Giuseppe Caire H. Vincent Poor

The straightforward application of Shannon’s separation principle may entail a significant suboptimality in practical systems with limited coding delay and complexity. This is particularly evident when the lossy source code is based on entropy-coded quantization. In fact, it is well known that entropy coding is not robust to residual channel errors. In this paper, a joint source-channel coding ...

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