<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
	<id>http://debianws.lexgopc.com/wiki143/index.php?action=history&amp;feed=atom&amp;title=Cone-shape_distribution_function</id>
	<title>Cone-shape distribution function - Revision history</title>
	<link rel="self" type="application/atom+xml" href="http://debianws.lexgopc.com/wiki143/index.php?action=history&amp;feed=atom&amp;title=Cone-shape_distribution_function"/>
	<link rel="alternate" type="text/html" href="http://debianws.lexgopc.com/wiki143/index.php?title=Cone-shape_distribution_function&amp;action=history"/>
	<updated>2026-05-05T23:29:38Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
	<generator>MediaWiki 1.43.1</generator>
	<entry>
		<id>http://debianws.lexgopc.com/wiki143/index.php?title=Cone-shape_distribution_function&amp;diff=6092590&amp;oldid=prev</id>
		<title>imported&gt;VulcanSphere: Adding short description: &quot;Variation of Cohen&#039;s class distribution function&quot;</title>
		<link rel="alternate" type="text/html" href="http://debianws.lexgopc.com/wiki143/index.php?title=Cone-shape_distribution_function&amp;diff=6092590&amp;oldid=prev"/>
		<updated>2025-01-19T01:57:56Z</updated>

		<summary type="html">&lt;p&gt;Adding &lt;a href=&quot;https://en.wikipedia.org/wiki/Short_description&quot; class=&quot;extiw&quot; title=&quot;wikipedia:Short description&quot;&gt;short description&lt;/a&gt;: &amp;quot;Variation of Cohen&amp;#039;s class distribution function&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;{{Short description|Variation of Cohen&amp;#039;s class distribution function}}&lt;br /&gt;
The &amp;#039;&amp;#039;&amp;#039;cone-shape distribution function,&amp;#039;&amp;#039;&amp;#039; also known as the &amp;#039;&amp;#039;&amp;#039;Zhao–Atlas–Marks time-frequency distribution&amp;#039;&amp;#039;&amp;#039;,&amp;lt;ref name=ZAM&amp;gt;Leon Cohen, Time Frequency Analysis: Theory and Applications, Prentice Hall, (1994)&amp;lt;/ref&amp;gt;  (acronymized as the ZAM &amp;lt;ref&amp;gt;{{cite journal|author1=L.M. Khadra |author2=J. A. Draidi |author3=M. A. Khasawneh |author4=M. M. Ibrahim. |title=Time-frequency distributions based on generalized cone-shaped kernels for the representation of nonstationary signals|journal=Journal of the Franklin Institute|volume=335|issue=5|pages=915–928|doi=10.1016/s0016-0032(97)00023-9|year=1998 }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal|author1=Deze Zeng |author2=Xuan Zeng |author3=G. Lu |author4=B. Tang |title=Automatic modulation classification of radar signals using the generalised time-frequency representation of Zhao, Atlas and Marks|journal=IET Radar, Sonar &amp;amp; Navigation|date=2011|volume=5|issue=4|pages=507–516|doi=10.1049/iet-rsn.2010.0174}}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal|author1=James R. Bulgrin |author2=Bernard J. Rubal |author3=Theodore E. Posch |author4=Joe M. Moody |title=Comparison of binomial, ZAM and minimum cross-entropy time-frequency distributions of intracardiac heart sounds|journal=Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on|volume=1|pages=383–387}}&amp;lt;/ref&amp;gt; distribution&amp;lt;ref&amp;gt;{{cite journal|last1=Christos, Skeberis, Zaharias D. Zaharis, Thomas D. Xenos, and Dimitrios Stratakis.|title=ZAM distribution analysis of radiowave ionospheric propagation interference measurements|journal=Telecommunications and Multimedia (TEMU), 2014 International Conference on|date=2014|pages=155–161}}&amp;lt;/ref&amp;gt; or ZAMD&amp;lt;ref name=ZAM /&amp;gt;), is one of the members of [[Cohen&amp;#039;s class distribution function]].&amp;lt;ref name=ZAM /&amp;gt;&amp;lt;ref&amp;gt;{{cite journal|last1=Leon Cohen|title=Time-frequency distributions-a review|journal=Proceedings of the IEEE|date=1989|volume=77|issue=7|pages=941–981|doi=10.1109/5.30749|citeseerx=10.1.1.1026.2853}}&amp;lt;/ref&amp;gt; It was first proposed by Yunxin Zhao, Les E. Atlas, and [[Robert J. Marks II]] in 1990.&amp;lt;ref&amp;gt;{{cite journal|author1=Y. Zhao |author2=L. E. Atlas |author3=R. J. Marks II |title=The use of cone-shape kernels for generalized time-frequency representations of nonstationary signals|journal=IEEE Transactions on Acoustics, Speech, and Signal Processing|date=July 1990|volume=38|issue=7|pages=1084–1091|doi=10.1109/29.57537|citeseerx=10.1.1.682.8170 }}&amp;lt;/ref&amp;gt; The distribution&amp;#039;s name stems from the twin cone shape of the distribution&amp;#039;s kernel function on the &amp;lt;math&amp;gt;t, \tau&amp;lt;/math&amp;gt; plane.&amp;lt;ref&amp;gt;{{cite book|last1=R.J. Marks II|title=Handbook of Fourier analysis &amp;amp; its applications|date=2009|publisher=Oxford University Press}}&amp;lt;/ref&amp;gt; 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.&amp;lt;ref&amp;gt;{{cite journal|author1=Patrick J. Loughlin |author2=James W. Pitton |author3=Les E. Atlas |title=Bilinear time-frequency representations: New insights and properties|journal=IEEE Transactions on Signal Processing|date=1993|volume=41|issue=2|pages=750–767|doi=10.1109/78.193215|bibcode=1993ITSP...41..750L }}&amp;lt;/ref&amp;gt;&amp;lt;ref&amp;gt;{{cite journal|author1=Seho Oh  |author2=R. J. Marks II|title=Some properties of the generalized time frequency representation with cone-shaped kernel|journal=IEEE Transactions on Signal Processing|date=1992|volume=40|issue=7|pages=1735–1745|doi=10.1109/78.143445|bibcode=1992ITSP...40.1735O}}&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Mathematical definition ==&lt;br /&gt;
The definition of the cone-shape distribution function is:&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;C_x(t, f)=\int_{-\infty}^{\infty}\int_{-\infty}^{\infty}A_x(\eta,\tau)\Phi(\eta,\tau)\exp (j2\pi(\eta t-\tau f))\, d\eta\, d\tau,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;A_x(\eta,\tau)=\int_{-\infty}^{\infty}x(t+\tau /2)x^*(t-\tau /2)e^{-j2\pi t\eta}\, dt,&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
and the kernel function is&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\Phi \left(\eta,\tau \right) = \frac{\sin \left(\pi \eta \tau \right)}{ \pi \eta \tau }\exp \left(-2\pi \alpha \tau^2  \right). &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The kernel function in &amp;lt;math&amp;gt;t, \tau&amp;lt;/math&amp;gt; domain is defined as:&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\phi \left(t,\tau \right) = \begin{cases} \frac{1}{\tau} \exp \left(-2\pi \alpha \tau^2 \right), &amp;amp; |\tau | \ge 2|t|, \\ 0, &amp;amp; \mbox{otherwise}. \end{cases} &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Following are the magnitude distribution of the kernel function in &amp;lt;math&amp;gt;t, \tau&amp;lt;/math&amp;gt; domain.&lt;br /&gt;
&lt;br /&gt;
[[Image:cone shape 1.jpg|300px|center]]&lt;br /&gt;
&lt;br /&gt;
Following are the magnitude distribution of the kernel function in &amp;lt;math&amp;gt;\eta, \tau&amp;lt;/math&amp;gt; domain with different &amp;lt;math&amp;gt;\alpha&amp;lt;/math&amp;gt; values.&lt;br /&gt;
&lt;br /&gt;
[[Image:cone shape 2.jpg|600px|center]]&lt;br /&gt;
&lt;br /&gt;
As is seen in the figure above, a properly chosen kernel of cone-shape distribution function can filter out the interference on the &amp;lt;math&amp;gt;\tau&amp;lt;/math&amp;gt; axis in the &amp;lt;math&amp;gt;\eta, \tau&amp;lt;/math&amp;gt; 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 &amp;lt;math&amp;gt;\eta&amp;lt;/math&amp;gt; axis are still preserved.&lt;br /&gt;
&lt;br /&gt;
The cone-shape distribution function is in the [[MATLAB]] Time-Frequency Toolbox&amp;lt;ref&amp;gt;[http://tftb.nongnu.org/refguide.pdf] Time-Frequency Toolbox For Use with MATLAB&amp;lt;/ref&amp;gt; and [[National Instruments]]&amp;#039; LabVIEW Tools for Time-Frequency, Time-Series, and Wavelet Analysis &amp;lt;ref&amp;gt;[http://www.ni.com/pdf/products/us/4msw69-70.pdf] National Instruments. LabVIEW Tools for Time-Frequency, Time-Series, and Wavelet Analysis. [http://zone.ni.com/reference/en-XX/help/372656A-01/lvtimefreqtk/tfa_cone_shaped_distribution/] TFA Cone-Shaped Distribution VI&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
*[[Cohen&amp;#039;s class distribution function]]&lt;br /&gt;
*[[Choi-Williams distribution function]] &lt;br /&gt;
*[[Wigner distribution function]]&lt;br /&gt;
*[[Ambiguity function]]&lt;br /&gt;
*[[Short-time Fourier transform]]&lt;br /&gt;
&lt;br /&gt;
==References==&lt;br /&gt;
{{Reflist}}&lt;br /&gt;
&lt;br /&gt;
[[Category:Time–frequency analysis]]&lt;br /&gt;
[[Category:Transforms]]&lt;/div&gt;</summary>
		<author><name>imported&gt;VulcanSphere</name></author>
	</entry>
</feed>