Application of modular technologies in the large-scale analysis of signals

Abstract

The purpose of the research is to improve the accuracy of the large-scale analysis of signals. This goal can be achieved through the use of algebraic systems having the properties of a ring and a field. The paper presents the implementation of the discrete Haar wavelet transform in the finite Galois field GF (17). To detect and correct the errors that can occur during the operation of a special processor for digital signal processing (DSP) due to malfunction and failure of equipment, an algorithm is developed for calculating a positional characteristic. The use of new modular technologies in the DSP problems enables, by virtue of parallelization at the level of operations and processing the short-bit data, not only to increase the calculation accuracy, but also to ensure obtaining the correct result