Is early detection of liver and breast cancers from ultrasound scans possible?
Pattern Recognition Letters - Speciqal issue: Ultrasonic image processing and analysis
Time--frequency feature representation using energy concentration: An overview of recent advances
Digital Signal Processing
Adaptive optimal kernel smooth-windowed wigner-ville distribution for digital communication signal
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing
Time-frequency analysis and its application in digital watermarking
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
Time-frequency analysis and hermite projection method applied to swallowing accelerometry signals
EURASIP Journal on Advances in Signal Processing - Special issue on applications of time-frequency signal processing in wireless communications and bioengineering
Journal of Signal Processing Systems
| Hi-index | 35.68 |
An analysis of auto-term presentation using the reduced interference distributions (RID) is done. Comparison with an ideal time-frequency signal representation is taken as a basis for this analysis. The following distributions are considered: Choi-Williams (1989), Zao-Atlas-Marks, Born-Jordan, sinc, Zhang-Sato (see ibid., vol.42, no.1, p.54, 1994), Butterworth, spectrogram, and the author's recently proposed S-method for time-frequency analysis. Various distributions produce different auto-term shapes. In all cases, the condition for cross-term reduction is contradictory to the condition for high auto-term quality. A procedure for designing a kernel that will produce the desired auto-term shape is demonstrated. An optimal kernel, with respect to the auto-term quality and cross-term suppression, is derived