Browse > Article
http://dx.doi.org/10.7471/ikeee.2020.24.4.1081

Instantaneous Frequency Estimation of AM-FM Signals using the Inflection Point Detection  

Iem, Byeong-Gwan (Dept. of Electronic Eng., Gangneung-Wonju Nat. Univ.)
Publication Information
Journal of IKEEE / v.24, no.4, 2020 , pp. 1081-1085 More about this Journal
Abstract
Instantaneous frequencies (IF) of the AM-FM signal is estimated based on the inflection point detection (IPD) method. Local maxima/minima are detected using the IPD, and they are exploited to find the IF of AM and FM components, respectively. The envelope of the maxima/minima is obtained to estimate the IF of the AM part. And the distance between neighboring maxima (or minima) is used to estimate the IF of the FM component. Computer simulation shows that the proposed method properly estimates the IF of the AM and FM when the signal has fixed frequencies for both parts. In the case of the time-varying IF of the FM part, the estimated IF shows some deviation from the true IF due to the rough sampling effect of the maximum/minimum points. Thus, the post-processing such as the lowpass filtering of the estimated IF is required to refine the resulting IF estimation.
Keywords
inflection point detection; instantaneous frequency; local maxima; local minima; AM-FM;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 B. Boashash, "Estimating and Interpreting the Instantaneous Frequency of a Signal-Part 2: Algorithms and Applications," Proceedings of the IEEE, vol.80, no.4, pp.540-568, 1992. DOI: 10.1109/5.135378   DOI
2 B. Iem, "Sound Signal Analysis Using the Time-Frequency Representations," Journal of IKEEE, vol.23, no.3, pp.893-898, 2019. DOI: 10.7471/ikeee.2019.23.3.893   DOI
3 P. Maragos, J. F. Kaiser, and T. F. Quatieri, "Energy Separation in Signal Modulations with Application to Speech Analysis," IEEE Trans. Sig. Proc., vol.41, no.10, pp.3024-3051, 1993. DOI:10.1109/78.277799   DOI
4 B. Boashash, Time-Frequency Signal Analysis and Processing: A Comprehensive Reference, 2nd ed., San Diego, CA: Academic Press, 2016.
5 J. F. Kaiser, "On a simple algorithm to calculate the energy of a signal," in Proc. of the 1990 International Conference on Acoustics, Speech, and Signal Processing (ICASSP1990), pp.381-384, 1990. DOI: 10.1109/ICASSP.1990.115702   DOI
6 F. G. Stremler, Introduction to Communication Systems, 3rd ed., Reading, MA: Addison Wesley, 1992.
7 B. Iem, "A Fixed Rate Speech Coder based on the Filter Bank Method with Non-uniform Bandwidth," International Journal of Fuzzy Logic and Intelligent Systems, vol.19, no.2, pp.129-133, 2019. DOI: 10.5391/IJKIS.2019.19.2.129   DOI
8 B. Iem, "A Nonu0niform Sampling Technique based on Inflection Point Detection and its Application to Speech Coding," Journal of Acoustical Society of America, vol.136, no.2, pp.903-909, 2014. DOI: 10.1121/1.4884882   DOI