Title :
Instantaneous Frequency Estimation from Signal Model
Author :
Aamir, K.M. ; Maud, Muhammad Ali
Author_Institution :
Dept. of Comput. Sci., Lahore Univ. of Manage. Sci.
Abstract :
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
Keywords :
autoregressive processes; frequency estimation; frequency modulation; autoregressive model; frequency modulation; instantaneous frequency estimation; signal model; Conference management; Engineering management; Equations; Frequency estimation; Frequency modulation; IIR filters; Technology management; Time frequency analysis;
Conference_Titel :
Emerging Technologies, 2006. ICET '06. International Conference on
Conference_Location :
Peshawar
Print_ISBN :
1-4244-0502-5
Electronic_ISBN :
1-4244-0503-3
DOI :
10.1109/ICET.2006.335949