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The cone-shape distribution function, also known as the Zhao–Atlas–Marks time-frequency distribution,Leon Cohen, Time Frequency Analysis: Theory and Applications, Prentice Hall, (1994) (acronymized as the ZAM distribution or ZAMD), is one of the members of Cohen's class distribution function. It was first proposed by Yunxin Zhao, Les E. Atlas, and Robert J. Marks II in 1990. The distribution's name stems from the twin cone shape of the distribution's kernel function on the t, \tau plane. The advantage of the cone kernel function is that it can completely remove the cross-term between two components having the same center frequency. Cross-term results from components with the same time center, however, cannot be completely removed by the cone-shaped kernel.


Mathematical definition

The definition of the cone-shape distribution function is: :C_x(t, f)=\int_^\int_^A_x(\eta,\tau)\Phi(\eta,\tau)\exp (j2\pi(\eta t-\tau f))\, d\eta\, d\tau, where :A_x(\eta,\tau)=\int_^x(t+\tau /2)x^*(t-\tau /2)e^\, dt, and the kernel function is :\Phi \left(\eta,\tau \right) = \frac\exp \left(-2\pi \alpha \tau^2 \right). The kernel function in t, \tau domain is defined as: :\phi \left(t,\tau \right) = \begin \frac \exp \left(-2\pi \alpha \tau^2 \right), & , \tau , \ge 2, t, , \\ 0, & \mbox. \end Following are the magnitude distribution of the kernel function in t, \tau domain. Following are the magnitude distribution of the kernel function in \eta, \tau domain with different \alpha values. As is seen in the figure above, a properly chosen kernel of cone-shape distribution function can filter out the interference on the \tau axis in the \eta, \tau domain, or the ambiguity domain. Therefore, unlike the Choi-Williams distribution function, the cone-shape distribution function can effectively reduce the cross-term results form two component with same center frequency. However, the cross-terms on the \eta axis are still preserved. The cone-shape distribution function is in the
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Time-Frequency Toolbox and
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National Instruments. LabVIEW Tools for Time-Frequency, Time-Series, and Wavelet Analysis

TFA Cone-Shaped Distribution VI


See also

* Cohen's class distribution function * Choi-Williams distribution function *
Wigner distribution function The Wigner distribution function (WDF) is used in signal processing as a transform in time-frequency analysis. The WDF was first proposed in physics to account for quantum corrections to classical statistical mechanics in 1932 by Eugene Wigner, ...
* Ambiguity function *
Short-time Fourier transform The short-time Fourier transform (STFT), is a Fourier-related transform used to determine the sinusoidal frequency and phase content of local sections of a signal as it changes over time. In practice, the procedure for computing STFTs is to divid ...


References

{{Reflist Time–frequency analysis Transforms