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  1. SAFe Program
  2. SP-129

PFB Inversion C++ Prototype implementation

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      Validation of the output correctness against PST Signal Model running in Matlab. Computational performance of the C++ implementation is not high priority, the floating point accuracy compared with the Matlab model is the primary goal.

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      Validation of the output correctness against PST Signal Model running in Matlab. Computational performance of the C++ implementation is not high priority, the floating point accuracy compared with the Matlab model is the primary goal.
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    • 3.25
    • Team_PST
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      Lightweight document:
      https://drive.google.com/a/skaint.org/file/d/1tHH2tyKy_-mW7mo9748VioZdIS_x-ssY/view?usp=sharing

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      Lightweight document: https://drive.google.com/a/skaint.org/file/d/1tHH2tyKy_-mW7mo9748VioZdIS_x-ssY/view?usp=sharing
    • 2.6

    • PI23 - UNCOVERED

    • Team_PST

    Description

      Implement the PFB inversion algorithm defined in the PST Signal Model. The implementation will be written in C++ and deployed within the DSPSR software library.

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          Feature - A Feature is a service that fulfills a stakeholder need. Each feature includes a benefit hypothesis and acceptance criteria, and is sized or split as necessary to be delivered by a single Agile Release Train (ART) in a Program Increment (PI). SP-174 PST signal processing algorithm simulation and publication - Model simulation and analysis

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                e.keane Keane, Evan [X] (Inactive)
                a.jameson Andrew Jameson
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                  Story Point Burn-up: (100.00%)

                  Feature Estimate: 4.0

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                  Total1330.0

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