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The main coding flow for an ACELP coding technique is to perform a linear predictive coding (LPC) on an input speech signal and then perform an adaptive as well as an algebraic codebook search on an LPC residual signal.
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The main coding properties are reviewed.
After the main coding a test of the inter-rater reliability in ICF coding was performed.
look at the main code in CBGTC.py).
Each main code should run for different overlaps, specifric comments inside code.
The main code is cross-platform, Python coded.
The analysis of participant accounts highlighted two main codes.
The main codes related to reasoning were Plan, Reason & Clinical Evaluate.
Codes were categorised and axial coding was undertaken to tease out aspects and properties of each main code.
Select "Codes" or "Trouble Codes" to open the main Codes menu.
NC and UC represent the network coded flow and non-network coded flow, respectively.
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