A robust quantiser design for image coding is presented. The proposed quantiser can be viewed as the combination of compound of a quantiser, a Variable length code (VLC) coder, and a channel coder. Simulation results ...
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A robust quantiser design for image coding is presented. The proposed quantiser can be viewed as the combination of compound of a quantiser, a Variable length code (VLC) coder, and a channel coder. Simulation results show that our proposed scheme has a graceful distortion behaviour within the designed noise range.
Conventional solutions to the problem of transmitting analogue data over noisy digital channels separate the source coder and channel coder designs. Here, the authors show that simulated annealing is a promising tool ...
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Conventional solutions to the problem of transmitting analogue data over noisy digital channels separate the source coder and channel coder designs. Here, the authors show that simulated annealing is a promising tool for joint optimisation of both the quantiser and the channel code
An adaptive speech and channel coding scheme is described, applicable to the communication of intelligible speech over er narrowband, noise channels. A fixed-channel bit rate of 1200 bits per second (b/s) is assumed a...
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An adaptive speech and channel coding scheme is described, applicable to the communication of intelligible speech over er narrowband, noise channels. A fixed-channel bit rate of 1200 bits per second (b/s) is assumed and the channel E-b/N-o can drop below 3 decibels. A family of speech coders, derived from a parent coder operating at 1200 b/s, is described which, when combined with a variable rate (punctured) convolutional code, yields an adaptive system capable of operating over a range of channel conditions. The locations of the channel E-b/N-o threshold points between the various schemes were derived through simulation.
Machine-to-Machine (M2M), an emerging communications paradigm, is a facilitator of data flows between machines used, e.g., in mission-critical applications. Focusing in this paper on embedded multihop M2M implementati...
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ISBN:
(纸本)9781424480166
Machine-to-Machine (M2M), an emerging communications paradigm, is a facilitator of data flows between machines used, e.g., in mission-critical applications. Focusing in this paper on embedded multihop M2M implementations with myopic routing, a prime design aim is to jointly minimize energy expenditure and the end-to-end delay whilst not jeopardizing the network's operational reliability. We thus evaluate the achievable energy-delay tradeoff in such embedded multihop wireless networks with focus on channel coding. Supported by analytical as well as numerical evaluation, we show that channel coding has a profound impact on the end-to-end performance of M2M systems. We also detail some viable design guidelines which quantify which channel coder to use under which operating conditions. Finally, we formulate the problem in more general shadowing conditions.
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