Multirate Frequency Transformations: Wideband AM-FM Demodulation with Applications to Signal Processing and Communications

You are here

Inside Signal Processing Newsletter Home Page

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

10 years of news and resources for members of the IEEE Signal Processing Society

Multirate Frequency Transformations: Wideband AM-FM Demodulation with Applications to Signal Processing and Communications

Liu, Wenjing

Advisor: Santhanam, Balu


The AM-FM (amplitude & frequency modulation) signal model finds numerous applications in image processing, communications, and speech processing. The traditional approaches towards demodulation of signals in this category are the analytic signal approach, frequency tracking, or the energy operator approach. These approaches however, assume that the amplitude and frequency components are slowly time-varying, e.g., narrowband and incur significant demodulation error in the wideband scenarios. In this thesis, we extend a two-stage approach towards wideband AM-FM demodulation that combines multirate frequency transformations (MFT) enacted through a combination of multirate systems with traditional demodulation techniques, e.g., the Teager-Kasiser energy operator demodulation (ESA) approach to large wideband to narrowband conversion factors.

The MFT module comprises of multirate interpolation and heterodyning and converts the wideband AM-FM signal into a narrowband signal, while the demodulation module such as ESA demodulates the narrowband signal into constituent amplitude and frequency components that are then transformed back to yield estimates for the wideband signal.

This MFT-ESA approach is then applied to the various problems of: (a) wideband image demodulation and fingerprint demodulation, where multidimensional energy separation is employed, (b) wideband first-formant demodulation in vowels, and (c) wideband CPM demodulation with partial response signaling, to demonstrate its validity in both monocomponent and multicomponent scenarios as an effective multicomponent AM-FM signal demodulation and analysis technique for image processing, speech processing, and communications based applications.


SPS on Twitter

  • Registration is now live for the 2020 IEEE 6th World Forum on Internet of Things! Meet attendees from industry, the…
  • Early bird registration for ends on Monday, 24 February. Register today and save, and save even more with…
  • The IEEE Journal of Selected Topics in Signal Processing is now accepting original manuscripts for a Special Issue…
  • Join us on Tuesday, 25 February for a new webinar, “Enabling Identity-Based Integrity Auditing and Data Sharing Wit…
  • The 2020 IEEE International Conference on Autonomous Systems will take place in Montréal on 12-14 August 2020 and w…

SPS Videos

Signal Processing in Home Assistants


Multimedia Forensics

Careers in Signal Processing             


Under the Radar