This paper presents analytical and detailed computer simulation results of the performance enhancement of Pulse Code Modulation/Frequency Modulation (PCM/FM) links using Reed Solomon (RS) channel coding. PCM/FM is a c...
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ISBN:
(纸本)0780381556
This paper presents analytical and detailed computer simulation results of the performance enhancement of Pulse Code Modulation/Frequency Modulation (PCM/FM) links using Reed Solomon (RS) channel coding. PCM/FM is a commonly deployed technique for a wide variety of telemetry and other links. Nevertheless, the required SNR to provide acceptable Bit Error Rate (BER) can be considerable. Thus, it is desired to provide channel coding to reduce the SNR requirement. The simulation of PCM/FM with and without RS coding requires the application of a variety of Signal Processing techniques discussed in the paper.
This paper considers real time joint source-channel coding of a Markov source over a discrete memoryless channel with noiseless feedback. The encoder incurs a cost which is minimized along with a real-time end-to-end ...
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ISBN:
(纸本)9781479904464
This paper considers real time joint source-channel coding of a Markov source over a discrete memoryless channel with noiseless feedback. The encoder incurs a cost which is minimized along with a real-time end-to-end distortion. The problem is mapped to a partially observable Markov decision problem and the corresponding optimality equations, in the form of dynamic programming equations, are derived. As a consequence of the dynamic programming formulation, basic structural properties of the optimal encoding and decoding strategies are established. In addition, the problem formulation and solution obtained for dynamic joint source-channel coding with noiseless feedback is shown to encompass a much broader class of problems including that of information acquisition and real time tracking.
This is the second paper on rotationally invariant convolutional channel coding with expanded signal space. Signal space with 90, 180, and 270° phase ambiguities is generally preferred to signal space with only ...
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In this paper we will derive an algorithm, which estimates the channel blindly exploiting the statistical dependencies of the transmitted signal caused by channel coding. An additional feature of this algorithm is tha...
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ISBN:
(纸本)0780382927
In this paper we will derive an algorithm, which estimates the channel blindly exploiting the statistical dependencies of the transmitted signal caused by channel coding. An additional feature of this algorithm is that in contrast to most blind deconvolution. algorithms phase correct estimates can be obtained. The error performance of the proposed algorithm depends on the characteristics of the channel code. If the code has appropriate properties, which is true for some convolutional codes as well as for several block codes, e.g. especially low-density parity check codes (LDPC), the proposed algorithm performs similarly or slightly better in comparison to higher order statics based algorithms.
In this paper we propose joint network and channel coding schemes for cooperative networks. The joint decoding schemes require no adjustment to either the sending or intermediary network nodes, but are achieved by des...
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ISBN:
(纸本)9781424415571
In this paper we propose joint network and channel coding schemes for cooperative networks. The joint decoding schemes require no adjustment to either the sending or intermediary network nodes, but are achieved by describing joint network code / channel code Tanner graphs at the receiving node and applying iterative sum-product decoding. The performance of the proposed schemes are simulated on a simple "butterfly" network and very promising results are obtained.
This paper addresses the problem of joint source and channel coding for 3-D video coding and transmission. Firstly, we formulate a packet-level joint texture and depth coding mode selection framework for error-resilie...
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ISBN:
(纸本)9781538605608
This paper addresses the problem of joint source and channel coding for 3-D video coding and transmission. Firstly, we formulate a packet-level joint texture and depth coding mode selection framework for error-resilient source coding using Lagrange multiplier. Then, we evolve to the more general formulation that jointly optimizes error-resilient source coding and channel coding for texture and depth with unequal error protection. Finally, based on the adjacent packet dependency, we derive a theoretic approach to efficiently find the optimal solution. The proposed algorithm explicitly considers the interaction between error-resilient source coding and channel coding tailored to 3-D video, and the different sensitivities of the view synthesis quality to texture distortion and depth distortion. Experimental results are presented for a wide range of packet loss rates in order to illustrate the benefit of the proposed 3-D video coding framework.
A robust and efficient approach for scalable video transmission over wireless channels is presented. The proposed approach jointly optimizes source and channel coding in order to minimize the overall end-to-end distor...
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ISBN:
(纸本)9781424409204
A robust and efficient approach for scalable video transmission over wireless channels is presented. The proposed approach jointly optimizes source and channel coding in order to minimize the overall end-to-end distortion. In particular, the forward error correction method based on turbo codes is considered. Aiming at improving the overall performance of the underlying joint source-channel coding, the combination of the channel coding rate, interleaver and packet size are optimized for turbo codes subject to a constraint on the overall transmission bitrate budget. Experimental results show that the proposed approach outperforms conventional forward error correction techniques at all bit error rates, even in very adverse conditions.
As the advanced satellite network can serve extremely diverse information data to different types of users, it is of a vital interest to achieve data security using encryption over satellite channels. However, because...
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ISBN:
(纸本)9781538680889
As the advanced satellite network can serve extremely diverse information data to different types of users, it is of a vital interest to achieve data security using encryption over satellite channels. However, because the avalanche effect makes encryption techniques vulnerable to bit errors in the wireless channel, a more powerful encryption technique is required. In this paper, we propose a novel method of joint encryption and channel coding, called CFB-AES-TURBO, by combining advanced encryption standard (AES) encryption and turbo coding. As we introduce turbo coding in the cipher feedback (CFB) mode with AES, our scheme can protect bits and also correct bit errors. We control system parameters of the encryption block size and the code rate, tailored to the channel state information (CSI). As a result, we can achieve processing time gains, security enhancement, and bit error rate (BER) performance improvement at the same time.
In this paper, we study the zero-delay source-channel coding problem, and specifically the problem of obtaining the vector transformations that optimally map between the m-dimensional source space and the k-dimensiona...
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ISBN:
(纸本)9781479904464
In this paper, we study the zero-delay source-channel coding problem, and specifically the problem of obtaining the vector transformations that optimally map between the m-dimensional source space and the k-dimensional channel space, under a given transmission power constraint and for the mean square error distortion. We first study the functional properties of this problem and show that the objective is concave in the source and noise densities and convex in the density of the input to the channel. We then present the necessary conditions for optimality of the encoder and decoder mappings. A well known result in information theory pertains to the linearity of optimal encoding and decoding mappings in the scalar Gaussian source and channel setting, at all channel signal-to-noise ratios (CSNRs). In this paper, we study this result more generally, beyond the Gaussian source and channel, and derive the necessary and sufficient condition for linearity of optimal mappings, given a noise (or source) distribution, and a specified power constraint. We also prove that the Gaussian source-channel pair is unique in the sense that it is the only source-channel pair for which the optimal mappings are linear at more than one CSNR value. Moreover, we show the asymptotic linearity of optimal mappings for low CSNR if the channel is Gaussian regardless of the source and, at the other extreme, for high CSNR if the source is Gaussian, regardless of the channel.
Recently, analog joint source-channel coding has been proposed as a means of achieving near-optimum performance for high data rates with a very low complexity. However, no experimental evaluation showing the practical...
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ISBN:
(纸本)9781612842332
Recently, analog joint source-channel coding has been proposed as a means of achieving near-optimum performance for high data rates with a very low complexity. However, no experimental evaluation showing the practical feasibility of this scheme has been performed to date. In this paper, we describe a software-defined radio implementation of an analog joint source-channel coded wireless transmission system. Experimental evaluation carried out in an indoor environment making use of a wireless testbed shows that the performance perfectly matches that originally reported by simulations in Additive White Gaussian Noise (AWGN) channels for signal-to-noise ratio values below 20 dB.
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