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All code, configurations, computing environment, and their provenance were preserved along with a high level diagram illustrating all steps of the analysis.
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The authors of [9, 10] develop methods for blind recovery of convolutional encoder in turbo code configuration.
Evolutionary computation is used for tuning the parameters of the classifiers and looking for the best minimal ECOC code configuration.
The typical turbo code configuration is the parallel concatenation of two systematic recursive constituent convolutional encoders of rate 1/2 connected via an interleaver, resulting in a code of rate 1/3.
This study analyzes and calculates dual unipolar and bipolar coded configurations of spectral-amplitude-coding optical code division multiple access (SAC-OCDMA) systems by using simulation methods.
In this experiment, we analyze coding performance when using the optimized coding configuration determined through our method, and compare these results against the coding performance when using other coding configurations.
For example, rigid t-designs, universally optimal t-codes (configurations), as well as finite sets which admit the structure of an association scheme, are among them.
The performance of the proposed video parameter estimation methods are validated by experimental results in Section 4. The proposed methods were implemented in a prototype system as a proof-of-concept and several experiments were performed with regard to the estimation accuracy of bit rate, frame rate, and PLR using a variety of bitstreams with different coding configurations.
Compared to traditional methods, coding configuration optimization inevitably increases complexity.
Coding configuration optimization is mainly reflected in QP e and n determination for a given users' bandwidth distribution.
This section outlines the data preparation, coding configuration and the performance parameters used in the investigations reported in this paper.
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