In signal processing, four functions of one variable are commonly used. The
y are the signal in time, the spectrum, the auto-correlation function of th
e signal, and the auto-correlation function of the spectrum, The variables
of these functions are denoted, respectively, as time, frequency, lag, and
doppler, In time-frequency analysis, these functions of one variable are ex
tended to quadratic functions of two variables. In this paper, we investiga
te a method for creating quartic functions of three of these variables as w
ell as a quartic function of all four variables. These quartic functions pr
ovide a meaningful representation of the signal that goes beyond the well-k
nown quadratic functions. The quartic functions are applied to the design o
f signal-adaptive kernels for the Cohen class and shown to provide improvem
ents over previous methods.