AUTOMATIC DETECTION OF THE COMMON AND NON-COMMON FREQUENCIES IN CONGRUENT DISCRETE SPECTRA – A THEORETICAL APPROACH

• Main Authors: Cezar DOCA, Constantin PĂUNOIU
• Format: Article
• Language: English
• Published: Editura Academiei Oamenilor de Știință din România 2015-05-01
• Series: Annals: Series on engineering sciences (Academy of Romanian Scientists)
• Subjects: Signals’ analysis; frequencies spectrum; automation process
• Online Access: http://aos.ro/wp-content/anale/TVol7Nr1Art.9.pdf

Both sampling a time-varying signal, and its spectral analysis are activities subjected to theoretically compelling, such as Shannon's theorem and the objectively limiting of the frequency’s resolution. Usually, the spectral representations are processed and interpreted by a scientist who, presumably, has sufficient prior information about the monitored signals to conclude on the significant frequencies, for example. On the other hand, processing and interpretation of signals’ spectra can be routine tasks that must be automated using suitable software (PC application). In the above context, the paper presents the theoretic bases of an intuitive and practical approach of the (automatic) detection of the common and non-common frequencies in two or more congruent spectra.