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Time–frequency representation

A time–frequency representation (TFR) is a view of a signal (taken to be a function of time) represented over both time and frequency. Time–frequency analysis means analysis into the time–frequency domain provided by a TFR. This is achieved by using a formulation often called "Time–Frequency Distribution", abbreviated as TFD.

Formulation of TFRs and TFDs, Linear canonical transformation & Background and motivation

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Overview

Background and motivation

Formulation of TFRs and TFDs

Wavelet transforms

Linear canonical transformation

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Time–frequency representation

Nodes32
Edges31
Triples4
Avg. degree1.94
Density0.0625
Components1

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Time–frequency representation

Top relations

related to Linear canonical transformation · 3
Time–frequency representation → Fourier, Linear, These

Important terminology Word statistics

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Important terminology

time frequency signal tfrs representation transform tfr wavelet function analysis transforms may fourier distribution formulation useful known often quadratic tfds

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
classification as the cross-terms provide extra detail for the recognition algorithminstance ofThe cross-terms caused by the bilinear structure of TFDs and TFRs may be useful in some applications0.80text
Time–frequency representationrelated to Linear canonical transformationLinear0.60section
Time–frequency representationrelated to Linear canonical transformationThese0.60section
Time–frequency representationrelated to Linear canonical transformationFourier0.60section

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