Blind Compensation of Memoryless Nonlinear Distortions in Sparse Signals

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F13%3A%230002596" target="_blank" >RIV/46747885:24220/13:#0002596 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Blind Compensation of Memoryless Nonlinear Distortions in Sparse Signals

Original language description

This paper focuses on blind compensation of memoryless nonlinear distortions in sparse signals. A nonlinear distortion tends to decrease the sparsity. We propose to compensate for the unknown distortion using a general monotonic function, such that the compensated signal is as sparse as possible. Novel estimator for the compensation function is presented, which is able to compensate for both symmetric and asymmetric distortions. The selection of a sparsity measure is discussed with respect to compensation performance. The functionality of the method is evaluated in experiments with artificially distorted real-world speech signals.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

<a href="/en/project/TA01011142" target="_blank" >TA01011142: Automatic transcription and indexation of lectures</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proc. of EUSIPCO 2013

ISBN

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ISSN

2219-5491

e-ISSN

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Number of pages

5

Pages from-to

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Publisher name

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Place of publication

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Event location

Maroko

Event date

Jan 1, 2013

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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