In the literature, there exist many quadratic TFDs whose kernels do not have a two-dimensional (2-D) lowpass shape but are well known for their cross-terms suppression property. One particular example is the cone-shape distribution whose Doppler-lag kernel [1, p. 146] is displayed in Fig. 1 for two values of its tuning parameter , specifically, 0.01 and 100. By continuously varying the value of from small to large, the kernel evolves from an allpass filter shape (i.e., the distribution is not appropriate for cross-terms suppression) to the shape displayed in the figure (i.e., the kernel removes all cross-terms, except those on the axis = 0). There exists no value of for which this kernel has a 2-D lowpass shape. For an arbitrary signal, the user has to select an appropriate value of to decide the amount of cross-terms suppression.Similarly, by continuously varying its parameter , the BD Doppler-lag kernel shape evolves as shown in the figure of the comments. In particular, for small values of , the kernel removes all cross-terms, except those on the axis = 0, and for large values, the BD becomes inappropriate for cross-terms suppression, as explained in the original paper. Note that because of its zero value at the origin, the BD may cause some extra energy distortion for the auto-terms; however, this does not seem to adversly affect its time-frequency representation, as shown by the various examples provided in the paper. This is why the major interest of the paper is not only to define a new quadratic TFD with useful resolution properties but to also open a new direction of research in the design of quadratic TFDs with new criteria that are not limited by old thinking.In short, one can say that each kernel has its own characteristics that are, in general, different from those of the others. This situation is very normal and expected because each kernel defines a different member of the quadratic class with different properties. Further details can be found in a recent tutorial on this question [3, ch. 3].Abstract-Like other orthogonal frequency division multiplexing (OFDM) systems, OFDM systems based on offset quadrature amplitude modulation (OFDM/OQAM) are very sensitive to carrier frequency offset. In this paper, a new blind carrier frequency offset estimator is developed for OFDM/OQAM systems by exploiting the noncircularity of the received OFDM/OQAM signal. Since the received signal exhibits conjugate cyclic frequencies at twice the carrier frequency offset, the frequency estimator is designed by maximizing a cost function expressed in terms of the sample conjugate cyclocorrelations. The theoretical asymptotic (large sample) performance analysis of the proposed estimator is established. Computer simulations are presented to illustrate the performance of the estimator. It is shown that the proposed estimator is very accurate whenever it is well initialized. Therefore, the proposed estimator appears to be very well adapted for a tracking mode rather than for an acquisition mode.