A simple derivation of the coding theorem and some applications.
Upper bounds on probability of error achieved by using block codes on general time-discrete memoryless channel
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Upper bounds on probability of error achieved by using block codes on general time-discrete memoryless channel
Comma-free properties of any group code from simple observation of null space
Relative merits of various coding methods used to increase reliability or data rate on data transmission channel
Extension, modification and analysis of Gorenstein-Zierler decoding algorithm for binary codes of Bose, Ray-Chaudhuri and Hocquenghem /BCH/ correcting erasures and errors
Simultaneous error correction and burst error detection, using binary linear cyclic codes
Lower bounds to minimum error probability using block coding on noisy discrete memoryless communication channels
Prefix coding of histograms for minimal storage
Data compression and error control coding in space telemetry analyzed, using performance measures similar to distortion function
Lower bounds to minimum error probability for block coding on noisy discrete memoryless channels
In this paper we simulate the performance of these codes over additive white Gaussian noise and Rayleigh fading channels.
In this paper, we demonstrate a class of low-complexity modulation codes satisfying the (d,k) constraint that offer throughput gains over M-PPM on the order of 10-15%, which translate into SNR gains of .4 - .6 dB.
We take a first empirical step toward understanding the performance-complexity tradeoffs that have newly arisen since the advent of turbo codes.
This paper addresses the iterative devoding analysis, design, and performance of low complexity turbo like codes.
Concatenated coding schemes with interleavers consist of the combination of two simple constituent encoders and an interleaver. The parallel concatenation known as.
It is common in data transmissions that some information is more important than others. This is especially true in space communications where mission critical information or science data are high priority. In this work, we propose a simple yet constructive scheme to send high priority data reliably and efficiently using Luby Transform (LT) codes. The new proposed scheme modifies the conventional LT encoder to send high priority data as a degree 1 and 2 so that high priority data can be quickly resolved and very likely recovered before a decoder stops. Preliminary results show that a carefully designed degree distribution of high priority data increases the likelihood of receiving high priority information while having negligible performance impact on data with lower priority. The performance of the proposed scheme is evaluated and compared with the conventional LT approach with the same parameters under a range of erasure error rates.
This viewgraph presentation describes a prioritized Luby Transform coding scheme that seeks to decode high priority data with high reliability, when decoders fail.
Formulation and digital coding of approximate hydrogen properties for application to flow computations