Adaptive data processing with distribution transformation, dual stream generation and performance monitoring

A computer system, comprising:

• a hardware memory, wherein the computer system is configured to execute software instructions stored on nontransitory machine-readable storage media that:
• receive input data;
• analyze characteristics of the input data;
• estimate a probability distribution of the input data;
• create a transformation matrix based at least in part on the estimated probability distribution;
• transform the input data into a target distribution using a transformation matrix based on the analyzed characteristics, wherein transforming the input data comprises:
• constructing an encoding based on the estimated probability distribution of the input data;
• partitioning a data space into overrepresented states and underrepresented states based on the encoding;
• and
• applying transformations to the input data using the transformation matrix to reshape the data distribution;
• generate a main data stream of transformed data and a secondary data stream of transformation information;
• dynamically select and apply at least one processing technique to at least one of the data streams based on the analyzed characteristics;
• compress at least the main data stream using an entropy coding technique;
• monitor effectiveness of the applied processing technique and adjust subsequent selection of the processing techniques based on the monitored effectiveness;
• and
• package the processed data with metadata describing the applied processing technique and output the processed data.