The design of signal dependent time-frequency kernels by McClellan transformation

A McClellan transformation 2-D filter design method is used for designing a signal dependent time-frequency (t-f) kernel. This 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 the McClellan transformation method (the one-dimensional filter and the linear transformation) provide a mechanism for emphasizing the auto-terms and improve spectral resolution. The flexibility offered by the McClellan transformation method in shaping the contours in the frequency domain is used to place a unit value along the kernel axes and satisfy marginal constraints. Simulations involving chirp signals are presented.<
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