Abstract. 

The paper is devoted to organizing a storage structure for multidimensional reference signals and processes within the framework of digital filtering based on fast simulation algorithms and a universal adaptive matrix transformation operator. The storage contains relevant simulation equations, simulated signals as value  tables and images, and original code in Python, C++ and other languages, as well as a supplementary license  data. Different approaches to storage creation are analyzed in the paper. The chosen route consists of structuring all the data into a dataset, publishing the dataset on GitHub and building an ontology based upon the dataset. The principles for structuring the data and organizing such an ontology are given. The resulting published dataset is presented. The work is supported by the Russian Scientific Fund (Project #22-11-00049).

Keywords: 

data Storage, Signal Storage, Multidimensional Signals, Signal Simulation, Digital Signal Processing, DSP, Ontology, Harmonic Methods.

PP. 34-42.

DOI: 10.14357/20790279230105