Joint distributions of arbitrary variables made easy

Richard G. Baraniuk

Joint distributions of arbitrary variables made easy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we propose a new framework for studying joint distributions of variables beyond time-frequency and time-scale. When applicable, our results turn the theory of joint distributions of arbitrary variables into an easy exercise of coordinate transformation. While straightforward, our method can generate many distributions previously attainable only by the general method of Cohen.

Original language	English
Title of host publication	IEEE Digital Signal Processing Workshop
Pages	394-397
Number of pages	4
State	Published - Jan 1 1996
Event	Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop - Loen, Norway Duration: Sep 1 1996 → Sep 4 1996

Other

Other	Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop
City	Loen, Norway
Period	9/1/96 → 9/4/96

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Joint distributions of arbitrary variables made easy",

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BT - IEEE Digital Signal Processing Workshop

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Joint distributions of arbitrary variables made easy

Abstract

Other

ASJC Scopus subject areas

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Cite this