Investigation of discrete Walsh-Hadamard transformations in the processing of results

This paper presents a study of discrete Walsh-Adamar transforms and their application in result processing. Discrete Walsh-Adamar transformations are methods that allow data to be analyzed and modified in discrete form. This article begins with an overview of the basic principles of discrete Walsh-Adamar transformations, including their mathematical formulation and basic properties. It then discusses methods for applying these transformations to result processing problems such as data compression, noise filtering, and compressed signal extraction. The paper also presents numerical experiments conducted using discrete Walsh-Adamar transforms to demonstrate their effectiveness in various results processing scenarios. The experimental results confirm a significant improvement in the quality of data processing when using these transforms.