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This chapter derives various random ensemble bounds for decoding error probability. The decoding error probability of the Viterbi decoding algorithm is analyzed for convolutional codes but only for the ensemble of time‐varying convolutional codes. The errors in the output from the Viterbi decoder are first grouped in error bursts, and then distribution of the lengths of these error events is upperbounded...
This chapter considers evidence for the efficacy of educational interventions for learning disorders in children. We consider interventions for reading disorders (dyslexia and reading comprehension impairment), language disorders and mathematics disorder. We will also briefly consider evidence relating to educational interventions for children with general learning difficulties. In addition to interventions...
This chapter discusses ways to apply four language methods: Circulation, cryptography, decoding and issuing. Circulation of material in the Testery was arranged with the help of a de‐chi clerk, who kept track of material and the Supervisor, who kept track of material in the decoding room. Documents for each message worked on in the Testery were circulated in an envelope which included the Red Form...
This chapter contains sections titled:
Introduction
Introduction to Linear Codes
Introduction to Forward Error Correction
Algebraic–Geometric Codes
Computation of Riemann–Roch Spaces
Decoding up to Half the Minimum Distance
Interpolation‐Based Decoding
Power Decoding of Low Rate Reed–Solomon Codes
Interpolation‐Based Soft‐Decision Decoding
Soft‐Decision Decoding with the Dorsch Algorithm
References...
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