S.B. Zahir Azami, P. Duhamel, and O. Rioul, "Joint Source-Channel Coding: Panorama of Methods," in CNES Workshop on Data Compression, (Toulouse, France), Nov. 1996.  Home/Search   Document Details and Download   Summary   Related Articles   Check

.... capabilities, are often associated with Forward Error Correction (FEC) techniques [2] which combat the e ects of a real transmission channel (fading, noise, It has however been shown that separation does not necessarily lead to the less complex solution [3] nor is always applicable [4]. In particular, joint source and channel coding (JSCC) can o er better solutions in wireless communications, o ering a complexity reduction of the overall system while maintaining a satisfactory performance. Quite recently, JSCC techniques that include a co ordination between source and channel ....

S.B. Zahir Azami, Pierre Duhamel and Olivier Rioul, \Joint source-channel coding: panorama of methods," in Proceedings of CNES workshop on Data Compression, Toulouse, France, November 1996.

....performance because of the non uniform quality of their channel conditions. In order to provide all users equally satisfactory performance, we propose a new performance criterion named minimax disappointment , based on layered service levels and the basic principle of joint source channel coding [1]. This criterion minimizes for all users the maximum value of performance degradation between the received performance and the expected optimal performance, given each user s individual channel situation. In support of this criterion, we develop two broadcasting systems and a gradient based ....

....In the following sections we give a brief introduction to joint source channel coding principle, discuss two example systems and the optimization algorithm we use, and present the simulation results. 2. BACKGROUND KNOWLEDGE 2.1. Joint Source Channel Coding Joint source channel coding (JSCC) [1] is an increasingly popular concept in designing efficient and error resilient communication systems. The basic idea behind JSCC is to intelligently allocate limited system resources (such as bandwidth, power, etc. between source and channel coders so that we precisely provide the necessary ....

S. B. Z. Azami, P. Duhamel, and O. Rioul, "Joint source-channel coding: Panorama of methods," in Proceedings of CNES Workshop on Data Compression, Nov. 1996.

....it is not yet known whether this result still holds for systems with finite delay, or in a broadcasting environment with multi path fading. Thus we are motivated to utilize joint source channel matching techniques, where system resources are assigned by trading off information and redundancy [1]. While significant work has been done on joint source channel matching techniques for specific source and channel coders, system designers usually have to deal with preselected source channel coder pairs, varying transmission conditions, and heterogeneous multimedia content. Thus it is desirable ....

.... codes [6] Sherwood and Zeger investigated unequal error protection for the binary symmetric channel [7] Man, Kossentini and Smith examined unequal error protection and source quantization [8] An extensive survey on general joint source channel matching was done by Azami, Duhamel and Rioul in [1]. All of these results have successfully shown that significant performance improvements can indeed be achieved by joint source channel optimization. However, they are all based on some specific source and channel coder pair and thus rely heavily on detailed knowledge about the internal working ....

S. B. Z. Azami, P. Duhamel, and O. Rioul, "Joint source-channel coding: Panorama of methods,"

....performance because of the non uniform conditions of their channels. In order to provide all users equally satisfactory performance, we propose a new performance criterion named minimax disappointment (MD) based on layered service levels and the basic principle of joint source channel coding [1]. This criterion minimizes for all users the maximum value of performance degradation between the received performance and the expected optimal performance, given each user s individual channel situation. In support of this criterion, we develop four broadcasting systems and a gradient based ....

S. B. Z. Azami, P. Duhamel, and O. Rioul, "Joint source-channel coding: Panorama of methods," in Proceedings of CNES Workshop on Data Compression, Nov. 1996.

....at times. 6 When either of these two assumptions is no longer valid, jointly optimizing the source and channel coders will yield performance gains (in this thesis we focus our e#orts on the situation when the first assumption is invalidated) which leads to the joint source channel coding (JSCC) [5] principle of designing a communications system. From a general point of view, JSCC involves jointly optimizing the source and channel coders to obtain the optimal end to end transmission performance. A common approach is to jointly design the codewords for both the source and channel encoders, ....

S. B. Z. Azami, P. Duhamel, and O. Rioul, "Joint source-channel coding: Panorama of methods," in Proceedings of CNES Workshop on Data Compression 1996, pp. 1232--1254.

....The advantages of jointly optimized source channel coding for image transmission over systems with finite delay and complexity constraints have by now been widely demonstrated 1 This work has largely been supported by theU.S NationalS cience Foundation through grant no. MIP9707742 1 (see [1] for an extensive survey as well as the references in Section 2) many di#erent groups have developed methods achieving significant improvements in performance over conventional techniques for wireless image transmission.D ue to typically higher data rates and a broad spectrum of applications, ....

S. B. Z. Azami, P.D uhamel, and O. Rioul, "Joint source-channel coding: Panorama of methods," in Proceedings of CNESWorkshop on Data Compression, Nov. 1996.

....growth of multimedia content in today s wireless communication, there is an increasing demand for efficient image and video transmission systems. Various research work has shown that significant gain in transmission performance can be achieved from the application of joint source channel matching [1] techniques, which minimize the final end to end distortion by optimally allocating limited system resources (transmission power, channel capacity, etc. between the source and channel coders. Although significant results have been achieved using matching techniques designed for specific source ....

....speaking, source coding is a data compression process that aims at removing as much redundancy as possible from the source signal, whereas channel coding is the process of intelligent redundancy insertion to create protection against channel noise. In this aspect, they seem to act in opposition [1]. The joint source channel coding theorem of Shannon [2] points out that if the minimum achievable source coding rate of a given source is below the capacity of a channel, then the source can be reliably transmitted through the channel, assuming that the sequences of source samples are ....

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S. B. Z. Azami, P. Duhamel, and O. Rioul, "Joint source-channel coding: Panorama of methods," in Proceedings of CNES Workshop on Data Compression, Nov. 1996.

....scheme yields excellent results and works for several different types of source and channel coders. 1 Introduction The advantages of jointly optimized source channel coding for image transmission over systems with finite delay and complexity constraints have by now been widely demonstrated (see [1] for a extensive survey as well as the references in Section 1.1) many different groups have developed methods achieving significant improvements in performance over conventional techniques for wireless image transmission. Due to typically higher data rates and a broad spectrum of applications, ....

S. B. Z. Azami, P. Duhamel, and O. Rioul, "Joint source-channel coding: Panorama of methods," in Proceedings of CNES Workshop on Data Compression, Nov. 1996.

....it is utilized at the receiving point . this redundancy will help combat noise [1] we make use of this observation in developing the joint source channel decoder presented here. A significant amount of research has been performed in the area of joint source channel coding and decoding (c.f. [3] [15] Much of this effort has been concentrated on determining optimal source and channel coders for selected source and channel characteristics (c.f. 7] 8] Additional work has been performed in developing general methods for determining optimal source and channel coding rates for ....

S.B. Zahir Azami, P. Duhamel and O. Rioul, "Joint Source-Channel Coding: Panorama of Methods," in CNES Workshop on Data Compression, (Toulouse, France), Nov. 1996.

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S.B. Zahir Azami, P. Duhamel, and O. Rioul, "Joint Source-Channel Coding: Panorama of Methods," in CNES Workshop on Data Compression, (Toulouse, France), Nov. 1996.

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