Radial Function Based Kernel Design for Time-Frequency Distributions
A framework based on the $n$ -dimensional Fourier transform of a radially symmetric function is introduced to design kernels for Cohen time-frequency distributions. Under this framework, we derive a kernel formula which generalizes and unifies MargenauHill, BornJordan, and Bessel distributions, using a realization based on a n-dimensional radial delta function. The higher order radial kernels suppress more cross-term energy compared with existing lower order kernels, which is illustrated by the...[Show more]
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|Source:||IEEE Transactions on Signal Processing|
|01_Wimalaguna Kodituwakku_Radial_Function_Based_Kernel_2010.pdf||633.89 kB||Adobe PDF||Request a copy|
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