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- Antonia Papandreou-Suppappola, Robin L. Murray, Byeong-Gwan Iem, Gloria Faye Boudreaux-Bartels
- IEEE Trans. Signal Processing
- 2001

We propose new time-frequency (TF) symbols as the narrowband Weyl symbol (WS) smoothed by an appropriate kernel. These new symbols preserve time and frequency shifts on a random process. Choosing specific smoothing kernels, we can obtain various new symbols (e.g. Levin symbol and Page symbol). We link a quadratic form of the signal to the new symbols and… (More)

- Byeong-Gwan Iem, Antonia Papandreou-Suppappola, Gloria Faye Boudreaux-Bartels
- IEEE Trans. Signal Processing
- 2002

We extend the narrowband Weyl symbol (WS) and the wideband P0-Weyl symbol (P0WS) for dispersive time–frequency (TF) analysis of nonstationary random processes and time-varying systems. We obtain the new TF symbols using unitary transformations on the WS and the P0WS. For example, whereas the WS is matched to systems with constant or linear TF… (More)

- Byeong-Gwan Iem
- IEICE Transactions
- 2010

We propose the new P0-Weyl symbol to analyze system induced time shifts and scale changes on the input signal. This new Weyl symbol (WS) is useful in wideband signal analysis. We also propose new WS as tools for analyzing systems which produce dispersive frequency shifts on the signal. We obtain these generalized, frequency-shift covariant WS by warping… (More)

- Byeong-Gwan Iem
- Int. J. Fuzzy Logic and Intelligent Systems
- 2016

- Byeong-Gwan Iem
- Int. J. Fuzzy Logic and Intelligent Systems
- 2015

- Byeong-Gwan Iem
- Int. J. Fuzzy Logic and Intelligent Systems
- 2012

The instantaneous amplitude (IA) based on the higher order differential energy operator is proposed. And its general form for arbitrary order is also proposed. The various definitions of the IA and the instantaneous frequency (IF) estimators are considered. The IA and IF estimators based on the energy operators need less computational cost than the… (More)

- Byeong-Gwan Iem
- The Journal of the Acoustical Society of America
- 2014

In order to reduce the data amount, the nonuniform sampling (NUS) method detects samples of a signal, such as local maxima and minima. To overcome the sparseness problem of the NUS method, an inflection point detection (IPD) method is proposed to sample a signal nonuniformly. The IPD samples a signal not only at the local maxima and minima, but also at the… (More)

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