Research Article
[Retracted] Telemetry Data Compression Algorithm Using Balanced Recurrent Neural Network and Deep Learning
| Input: telemetry sample data “TMi = {TMi1, TMi2, …,TMij, …, TMin},” time “t” | | Output: highly optimal lossless compression data | (1) | Begin | (2) | For each telemetry sample data “TMi” | (3) | Express telemetry matrix as given in (1) | (4) | Perform subsampling using (2) | (5) | Perform averaging using (3) | (6) | Return (TMpq) preprocessed telemetry data | (7) | End for | (8) | For each preprocessed telemetry data (TMpq) | (9) | Measure Software function using (4) | (10) | Update weight using (5) | (11) | Measure BCI using (6) | (12) | End for | (13) | End |
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