Narrowband Noise Signal Characteristics Corresponding to Their Strong Latent Correlation for Information-Measuring Systems

Autor: Evgeniy I. Chernov, Andrey V. Shulyakov, Nikolay E. Sobolev, Alexander A. Bondarchuk
Rok vydání: 2021
Předmět:
Zdroj: MECO
DOI: 10.1109/meco52532.2021.9460294
Popis: the regions of characteristics of narrow-band noise signals corresponding to a strong hidden correlation between these signals are correctly determined. The signals under consideration are as follows: the signal at center frequency and the sum of signals at specular frequencies simultaneously extracted from broadband bandwidth-limited noise dominated by shot noise. The characteristics being analyzed included specular frequency range and narrowband filter selectivity (narrowband noise spectral bands). Research method is based on the method to assess latent correlation of narrowband noise signals earlier developed by the authors. The research results presented can be of interest for scientists, engineers and metrologists engaged in digital signal processing who apply specular noise method for useful signal extraction from noise.
Databáze: OpenAIRE