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Reduced state sequence estimation using Viterbi algorithm

Version 1.0.3 (2.26 KB) by Vineel Kumar Veludandi
Per survivor processing
2.0
(1)

44 Downloads

Updated Fri, 05 Feb 2021 10:20:49 +0000

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References:
R. Raheli, A. Polydoros and Ching-Kae Tzou, "Per-Survivor Processing: a general approach to MLSE in uncertain environments," in IEEE Transactions on Communications, vol. 43, no. 2/3/4, pp. 354-364, Feb./March/April 1995.

Cite As

Vineel Kumar Veludandi (2023). Reduced state sequence estimation using Viterbi algorithm (https://github.com/vineel49/psp), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.3

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1.0.2

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1.0.1

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1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.