The design of signal dependent time-frequency kernels using McClellan transformation.

In this paper, McClellan transformation 2-D filter design method is employed for designing a signal dependent time-frequency (t-f) kernel. This design method is amenable to t-f kernel constraints, which do not commonly arise when filtering signals in image and array processing applications. The two parts of McClellan transformation method, namely the one dimension filter and the linear transformation, provide a mechanism to emphasize the auto-terms and improve spectral resolution. The flexibility offered by McClellan transformation method in shaping the contours in the frequency domain is used to place a unit value along the kernel axes and satisfy the marginal constraints. Simulations involving chirp signals are presented.

Main Author: Zalubas, Eugene J.
Other Authors: Amin, Moeness.
Format: Villanova Faculty Authorship
Language: English
Published: 1992
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