A.J. Goldsmith and M. Effros, "Joint Design of Fixed-Rate Source Codes and Multiresolution Channel Codes," IEEE Trans. Communications, vol. 46, Oct. 1998. 18  Home/Search   Document Details and Download   Summary   Related Articles   Check

....is designed for a Rayleigh fading channel [17] Recent work is found in [18] and [19] where a progressive Said Pearlman image coder is protected by an RCPC channel code. An approach combining channel optimized source coding and source optimized channel coding is considered by Goldsmith and Effros [20]. Their joint designs use channel optimized vector quantization (COVQ) for the source code and RCPC coding for the channel code. They use an iterative design technique to minimize the overall distortion. Specifically, for a given source code rate, the COVQ is optimized for the existing RCPC code ....

A. J. Goldsmith and M. Effros, "Joint Design of Fixed-Rate Source codes and Multiresolution Channel Codes," IEEE Trans. Commun., vol. 46, pp. 1301-1312, 1998.

....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 information transmitted over selected channels [9] 12] Finally, some significant results have been obtained in designing source coders to have the functionality ....

A.J. Goldsmith and M. Effros, "Joint Design of Fixed-Rate Source Codes and Multiresolution ChannelCodes," IEEE Trans. Communications, vol. 46, Oct. 1998.

....the number of codebook vectors N is a power of two, i.e. that N = 2 n for some integer n 0. Systems employing fixed rate scalar or vector quantization followed by convolutional channel coding find important applications in noisy channel image or audio coding. A number of past papers (e.g. 3] [7]) have considered such systems. In a typical system using subband or transform coding, the source is modeled as a finite collection of classes S j of continuous valued random variables (r.v.s) where each class contains r.v.s with the same density function, and corresponds to a particular ....

....coding rates r j;k for the kth bit of each quantizer index in class S j . The results in this paper apply to systems using Type 1 or Type 2 error protection, such as those considered in [3, 4, 6] To compute the end to end distortion without measuring or bounding the p(jji) all of the papers [3] [7] assume errors in the the bits of the received n bit index j to be independent, 2 and (in the case of Type 1 or Type 2 systems only) identically distributed (i.i.d. With the independence assumption, the p(jji) can be computed as [7] p(jji) n Gamma1 Y k=0 [P b k 1(j k 6= i k ) 1 Gamma ....

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A. Goldsmith and M. Effros, "Joint design of fixed-rate source codes and multiresolution channel codes," IEEE Trans. on Communications, vol. 46, no. 10, pp. 1301-1312, Oct. 1998.

....we propose an iterative code design that jointly optimizes the source and channel codes to minimize end to end distortion over fading channels. Our joint code design uses COVQ for the source code and RCPC coding for the channel code. This code design is an extension of the joint design proposed in [2]: in that work Supported by NSF CAREER award NCR 9501452 and by a Caltech Summer Undergraduate Research Fellowship (SURF) the design is optimized for an AWGN channel whereas now we optimize the design for a fading channel. The COVQ is a vector quantizer (VQ) that has been optimized for a ....

..... For our joint code design we consider all (R s ; R c ) pairs such that R s R c = R and choose the pair and corresponding joint code with minimal distortion. In the joint code design for AWGN channels the optimal bit allocation turned out to be the most important aspect of the joint code design [2], and we expect the same to be true for fading channels. 3 Joint Iterative Code Design The goal of our joint code design is to minimize the expected distortion D = E[d(x; x) of the COVQ and RCPC codes, where the expectation is with respect to the source data training set and the channel ....

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A. Goldsmith and M. Effros, "Joint design of fixed-rate source codes and multiresolution channel codes." IEEE Trans. Commun., Vol. 46, No. 10, pp. 1301--1312, Oct. 1998.

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A.J. Goldsmith and M. Effros, "Joint Design of Fixed-Rate Source Codes and Multiresolution Channel Codes," IEEE Trans. Communications, vol. 46, Oct. 1998. 18

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A. J. Goldsmith and M. Effros, "Joint design of fixed-rate source codes and multiresolution channel codes," IEEE Trans. Comm., vol. 46, pp. 1301-1312, 1998.

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