Determination of Mirror Frequency Range Corresponding to Strong Latent Correlation of Narrowband Noise Signals

Autor: Andrey V. Shulyakov, Evgeniy I. Chernov, Nikolay E. Sobolev, Elena E. Bondarchuk
Rok vydání: 2020
Předmět:
Zdroj: MECO
DOI: 10.1109/meco49872.2020.9134130
Popis: The article explores the method for evaluating latent correlation developed by the authors. As a result of research using this method, the mirror frequencies range is determined, which corresponds to strong latent correlation between the signal at center frequency and the sum of signals at mirror frequencies extracted simultaneously from broadband band limited noise. The results of the research presented will be of great interest for scientific researchers, engineers and metrologists being involved in digital signal processing and making use of mirror noise images method to extract useful signal from noise.
Databáze: OpenAIRE