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    Joint SourceChannel Coding in Video Transmission Using Deep Learning

    , M.Sc. Thesis Sharif University of Technology Ghayoumi Ghamsari, Moein (Author) ; Behroozi, Hamid (Supervisor) ; Hossein Khalaj, Babak (Supervisor)
    Abstract
    In the signal transmission cycle in a telecommunication network, there are two coding blocks, which can be realized in two ways. In the traditional way, source coding is first used to remove redundancies and compress information. Then, channel coding is used to transmit on the telecommunication channel and deal with noise and other destructive factors of the channel. In other words, source coding and channel coding are done separately. In contrast, signal transmission can be done by joint source¬channel coding. According to Shannon separation theorem and with the fulfillment of the conditions mentioned in the theorem, the method of separation of source and channel coding in a point to point... 

    Source Coding with Polar Codes

    , M.Sc. Thesis Sharif University of Technology Eghbalian Arani, Sajjad (Author) ; Behroozi, Hamid (Supervisor)
    Abstract
    Polar codes were introduced by Arikan in 2009. These codes are the first family of codes that with low encoding complexity and successive cancellation decoder, can achieve the channel capacity. Polar codes, at first were implemented for channel coding, but in 2010 performance of these codes in binary and q-ary alphabet source was studied. It is shown that these codes can perform efficiently in channel coding and source coding. On the other hand, one of the most important continuous sources are Gaussian sources. Due to the importance of Gaussian sources and good performance of polar codes, we try to evaluate the performance of these codes in Gaussian sources. Note that, these codes have... 

    Joint Disrtibuted Source and Network Coding

    , M.Sc. Thesis Sharif University of Technology Etemadi Tajbakhsh, Shahriar (Author) ; Movaghar Rahimabadi, Ali (Supervisor)
    Abstract
    Network coding, as a novel technique, suggests that the intermediate nodes of a network can combine independent flows to optimize the usage of a shared communication channel. Also, distributed source coding, exploits the joint statistics of correlated information sources to reduce the volume of transmitted information. Surprisingly, it has been shown that linear network codes are able to compress correlated sources. In this project, we have focused on this problem, i.e. joint distributed source and network coding. We have two important contributions with different directions. First we give a practical design for joint coding. Second, we use an evolutionary approach to find the best placement... 

    Secrecy Rates in Wiretap Channels

    , Ph.D. Dissertation Sharif University of Technology Salimi, Somayeh (Author) ; Salmasizadeh, Mahmoud (Supervisor) ; Aref, Mohammad Reza (Supervisor)
    Abstract
    Security has been considered from the information theoretic point of view in different channels such as broadcast, multiple access and relay channels. Due to application of these channels in modern networks such as wireless, sensor and Ad-hoc networks, information theoretic security arguments especially wiretapping, has major significance in these networks. With regard to necessity of confidentiality protection in modern telecommunication services, security from the information theoretic point of view should be considered as well as capacity and achievable rate region considerations in these networks. In this thesis, first, a survey of basic works in the subjects of secrecy capacity and... 

    Evaluating the Rate of Compressibility of Sparse Stochastic Processes

    , M.Sc. Thesis Sharif University of Technology Ghourchian, Hamid (Author) ; Amini, Arash (Supervisor) ; Aminzadeh Gohari, Amin (Supervisor)
    Abstract
    In most stochastic models with uncountable cardinality of sample space with non-trivial probability measures, the inherent information is infinite. The continuous-valued random variables and continuous-domain random processes are among such objects. Therefore, a fidelity criterion must be defined between the stochastic subject and its estimated version. Although there are some criteria for of stochastic continuous signals, based on quantizing the signal in both time and amplitude domains, we are going to define a criterion which is for stochastic processes in bounded time domain. Next, the criterion will be expressed in general sources perspective and the optimum rate of coding will be... 

    Capacity and Security of Cooperative Information Systems with Correlated Sources

    , Ph.D. Dissertation Sharif University of Technology Salehkalaibar, Sadaf (Author) ; Aref, Mohammad Reza (Supervisor)
    Abstract
    The main problem in network information theory is how to send some sources in a network with multiple transmitters and receivers, in the presence of the noise and the interference.This problem is not solved in its general form and it needs source coding and channel coding. With the increase of users in a network, the secrecy becomes a challenging issue. The information-theoretic security is independent of the computational complexity.In this thesis, we investigate the transmission of correlated sources over information theoretic networks and study secrecy constraints in these networks. First, we study the secrecy of a one-receiver, two-eavesdropper broadcast channel with three degraded... 

    Automated Release Note Generation

    , Ph.D. Dissertation Sharif University of Technology Izadi, Maliheh (Author) ; Heydarnoori, Abbas (Supervisor)
    Abstract
    As one of the most important software artifacts, release reports include most essential changes of software systems in each release. These reports are useful for documenting team activities, improving communication between team members and facilitating decision makings. They are often generated manually by a team member, which can be a tedious and time-consuming task. For each release, one should go through hundreds of issue reports, changed files, source code, and other related documents to determine what has changed and why. Then they need to identify the most important and relevant changes. Therefore, automated generation of release reports can be highly desirable. Despite the... 

    Analysis of Universal Coding Algorithms for Some Special Classes of Information Sources

    , M.Sc. Thesis Sharif University of Technology Nangir, Mahdi (Author) ; Aref, Mohammad Reza (Supervisor) ; Behroozi, Hamid (Supervisor)
    Abstract
    The coding and compression of information sources with special probability distribution is the center of concentration of researchers in this field in the last decades. In this dissertation, after a concise introduction to source coding, we focus on the universal source coding and data compression from an algorithmic and information theoretic point of view. First we introduce the fundamental concepts of source coding and data compression. Then, we analysis some algorithms on integer coding and verify their universality and asymptotically optimality. Usually statistics of information sources is not available in communication systems and storage devices, so that applying universal source... 

    Exploiting Applications and Improving Performance of Polar Codes in Information Theory

    , M.Sc. Thesis Sharif University of Technology Khatami, Mehrdad (Author) ; Marvasti, Farrokh (Supervisor)
    Abstract
    The two central topics of information theory are the compression and the transmission of data. Shannon, in his seminal work, formalized both these problems and determined their fundamental limits. Since then the main goal of coding theory has been to find practical schemes that approach these limits.Polar codes, recently invented by Arıkan, are the first practical codes that are known to achieve the capacity for a large class of channels. Their code construction is based on a phenomenon called “channel polarization”.
    Since the performance of polar code degrades when the block length is small, several kinds of Reed – Solomon concatenation is considered in order to improve the... 

    An Investigation on Entanglement and Its Applications in Quantum Communication Protocols

    , M.Sc. Thesis Sharif University of Technology Noshad, Morteza (Author) ; Aref, Mohammad Reza (Supervisor) ; Aminzadeh Gohari, Amin (Co-Advisor)
    Abstract
    In this thesis, we propose a new method for deriving the achievability results in quantum information theoretic problems. The calssical quan- tum decoupling lemma is an essential component in our method. Assume that each classical source is randomly binned at a finite rate. We find sufficient conditions on these rates such that the bin indices are nearly mutually independent of each other and of a quantum source Qn. Us- ing this theorem in conjunction with the calssical quantum Slepian Wolf (CQSW) result, this method suggest a new comprehensive framework for the achievability of network quantum information theoretic prob- lems. We’ve used the new method to redrive the Holevo bound, private... 

    Software watermarking by equation reordering

    , Article 2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA, Damascus, 7 April 2008 through 11 April 2008 ; 2008 ; 1424417511 (ISBN); 9781424417513 (ISBN) Shirali Shahreza, M ; Shirali Shahreza, S ; Sharif University of Technology
    2008
    Abstract
    Watermarking is the process of hiding information in a media and usually used to for copyright protection. In software watermarking, the information is added to the source code of program and can be extracted from compiled executable code. In this paper, a new software watermarking algorithm is proposed by equation reordering. In this method, the order of operands in an equation is changed according to the information we want to hide in a way that the result of the equation is unchanged. One of the main advantages of this method is that no code added to the program, so the size and speed of the program not changed  

    Sampling and distortion tradeoffs for indirect source retrieval

    , Article 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016, 7 December 2016 through 9 December 2016 ; 2017 , Pages 545-549 ; 9781509045457 (ISBN) Mohammadi, E ; Fallah, A ; Marvasti, F ; IEEE Signal Processing Society; The Institute of Electrical and Electronics Engineers ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2017
    Abstract
    We study the problem of remote reconstruction of a continuous signal from its multiple corrupted versions. We are interested in the optimal number of samples and their locations for each corrupted signal to minimize the total reconstruction distortion of the remote signal. The correlation among the corrupted signals can be utilized to reduce the sampling rate. For a class of Gaussian signals, we show that in the low sampling rate region, it is optimal to use a certain nonuniform sampling scheme on all the signals. On the other hand, in the high sampling rate region, it is optimal to uniformly sample all the signals. We also show that both of these sampling strategies are optimal if we are... 

    Restoration of damaged slices in images using matrix pseudo inversion

    , Article 22nd International Symposium on Computer and Information Sciences, ISCIS 2007, Ankara, 7 November 2007 through 9 November 2007 ; 2007 , Pages 98-103 ; 1424413648 (ISBN); 9781424413645 (ISBN) Ajorloo, H ; Manzuri Shalmani, M. T ; Lakdashti, A ; Sharif University of Technology
    2007
    Abstract
    A matrix pseudo inversion based method is developed for coding of images in real field in a way that at the receiver, one can restore the lost portions of the images. The proposed solution is similar to channel coding techniques, but it is done before source coding at the transmitter and after decoding of the compressed data at the receiver. Experiments show the effectiveness of the proposed solution in recove ring missed portions of the images and video frames. ©2007 IEEE  

    On the reliable transmission of correlated sources over two-relay network

    , Article 2013 IEEE Information Theory Workshop, ITW 2013 ; 2013 ; 9781479913237 (ISBN) Nasiraee, M ; Akhbari, B ; Ahmadian-Attari, M ; Aref, M. R ; Sharif University of Technology
    2013
    Abstract
    In this paper, we investigate reliable transmission of three correlated discrete memoryless sources over a two-relay network. In our considered model, one of the sources is available at the sender whereas, the other two sources are known to the first and the second relay. We present both joint and separate source-channel coding schemes, and derive the corresponding sets of sufficient conditions for reliable sources transmission. The manner of cooperation in both schemes is Decode-and-Forward strategy. In the joint approach, we generalize the correlation preserving mapping technique to our model using nested backward decoding. Our proposed separate approach is based on Slepian-Wolf source... 

    On the performance of polar codes for lossy compression of Gaussian sources

    , Article 2013 Iran Workshop on Communication and Information Theory, IWCIT 2013 ; 2013 ; 9781467350235 (ISBN) Eghbalian Arani, S ; Behroozi, H ; Sharif University of Technology
    2013
    Abstract
    In this work, we study the lossy source coding of a Gaussian source with polar codes. We show through two distributions on discrete alphabet, quantized approach as well as Central Limit Theorem (CLT) approach, when the alphabet size grows to infinity, polar codes can achieve the rate distortion bound for a Gaussian source. By comparing the rate of convergence on two distributions, we show that the quantized approach have a better convergence rate than the CLT approach  

    On the optimal performance in asymmetric gaussian wireless sensor networks with fading

    , Article IEEE Transactions on Signal Processing ; Volume 58, Issue 4 , 2010 , Pages 2436-2441 ; 1053587X (ISSN) Behroozi, H ; Alajaji, F ; Linder, T ; Sharif University of Technology
    2010
    Abstract
    We study the estimation of a Gaussian source by a Gaussian wireless sensor network (WSN) where L distributed sensors transmit noisy observations of the source through a fading Gaussian multiple access channel to a fusion center. In a recent work Gastpar, [ "Uncoded transmission is exactly optimal for a Simple Gaussian Sensor Network", IEEE Trans. Inf. Theory, vol. 54, no. 11, pp. 52475251, Nov. 2008] showed that for a symmetric Gaussian WSN with no fading, uncoded (analog) transmission achieves the optimal performance theoretically attainable (OPTA). In this correspondence, we consider an asymmetric fading WSN in which the sensors have differing noise and transmission powers. We first... 

    On the duality of additivity and tensorization

    , Article IEEE International Symposium on Information Theory - Proceedings, 14 June 2015 through 19 June 2015 ; Volume 2015-June , 2015 , Pages 2381-2385 ; 21578095 (ISSN) ; 9781467377041 (ISBN) Beigi, S ; Gohari, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    A function is said to be additive if, similar to mutual information, expands by a factor of n, when evaluated on n i.i.d. repetitions of a source or channel. On the other hand, a function is said to satisfy the tensorization property if it remains unchanged when evaluated on i.i.d. repetitions. Additive rate regions are of fundamental importance in network information theory, serving as capacity regions or upper bounds thereof. Tensorizing measures of correlation have also found applications in distributed source and channel coding problems as well as the distribution simulation problem. Prior to our work only two measures of correlation, namely the hypercontractivity ribbon and maximal... 

    On source transmission over some classes of relay channels

    , Article IEEE International Symposium on Information Theory - Proceedings ; 2012 , Pages 1942-1946 ; 9781467325790 (ISBN) Salehkalaibar, S ; Aref, M. R ; Sharif University of Technology
    IEEE  2012
    Abstract
    We study the reliable transmission of correlated sources over the relay channel. One of the sources is available at the sender while the other one is known to the relay. The receiver wishes to reconstruct both sources. We find necessary and sufficient conditions for optimal separation of source and channel codes. The coding scheme is based on the combination of the Slepian-Wolf source coding and Partial Decode-and-Forward (PDF) strategy. In this scheme, the relay partially decodes the message transmitted by the sender. We also consider the semi-deterministic relay channel where the output at the relay is a deterministic function of inputs from the sender and the relay. For the transmission... 

    On Körner-Marton's sum modulo two problem

    , Article IWCIT 2015 - Iran Workshop on Communication and Information Theory, 6 May 2015 through 7 May 2015 ; May , 2015 ; 9781479982356 (ISBN) Sefidgaran, M ; Gohari, A ; Aref, M. R ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    In this paper we study the sum modulo two problem proposed by Körner and Marton. In this source coding problem, two transmitters who observe binary sources X and Y, send messages of limited rate to a receiver whose goal is to compute the sum modulo of X and Y. This problem has been solved for the two special cases of independent and symmetric sources. In both of these cases, the rate pair (H(X|Y), H(Y|X)) is achievable. The best known outer bound for this problem is a conventional cut-set bound, and the best known inner bound is derived by Ahlswede and Han using a combination of Slepian-Wolf and Körner-Marton's coding schemes. In this paper, we propose a new outer bound which is strictly... 

    Neutron noise source reconstruction using the adaptive neuro-fuzzy inference system (ANFIS) in the VVER-1000 reactor core

    , Article Annals of Nuclear Energy ; Volume 105 , 2017 , Pages 36-44 ; 03064549 (ISSN) Hosseini, S. A ; Esmaili Paeen Afrakoti, I ; Sharif University of Technology
    Abstract
    The neutron noise is defined as the stationary fluctuation of the neutron flux around its mean value due to the induced perturbation in the reactor core. The neutron noise analysis may be useful in many applications like noise source reconstruction. To identify the noise source, calculated neutron noise distribution of the detectors is used as input data by the considered unfolding algorithm. The neutron noise distribution of the VVER-1000 reactor core is calculated using the developed computational code based on Galerkin Finite Element Method (GFEM). The noise source of type absorber of variable strength is considered in the calculation. The computational code developed based on An Adaptive...