Instantaneous Frequency Estimation from Signal Model

Autor:	Khalid Mahmood Aamir, Mohammad Ali Maud
Rok vydání:	2006
Předmět:	Autoregressive model Frequency domain Statistics Spectral density estimation Frequency modulation Instantaneous phase Algorithm Signal Mathematics Instant
Zdroj:	2006 International Conference on Emerging Technologies.
DOI:	10.1109/icet.2006.335949
Popis:	Instantaneous frequency is defined as the average of the frequencies present in the signal at a particular instant. To estimate instantaneous frequency, a window of N samples is taken at each time instant. In such techniques, N needs to be large enough. In this paper, we suggest autoregressive model of order 2 to estimate the instantaneous frequency. In this technique, N is not needed to be large. The over all complexity of this technique is linear in terms of signal length
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2c1aeb448688a2d8ef8a10cd6a3b179b https://doi.org/10.1109/icet.2006.335949 Zobrazit plný text záznamu