Different Long Short-Term Memory Approaches to Enhance Prediction-Based Satellite Telemetry Compression

What is it about?

The need for an efficient compression algorithm is necessary due to the increasing number of remotely measured telemetry parameters in space applications accompanied by high sampling frequency parameters. We use Long Term Short Memory (LSTM) approaches, in stacked and non-stacked versions, as predictors, in two-stage satellite telemetry lossless compression methods with Rice, Huffman, and Arithmetic codes individually as entropy coders.

Featured Image