Fast Reconstruction of Sparse Relative Impulse Responses via Second-Order Cone Programming

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F17%3A00004538" target="_blank" >RIV/46747885:24220/17:00004538 - isvavai.cz</a>

Výsledek na webu

<a href="https://asap.ite.tul.cz/wp-content/uploads/sites/3/2017/07/waspaa2017.pdf" target="_blank" >https://asap.ite.tul.cz/wp-content/uploads/sites/3/2017/07/waspaa2017.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/WASPAA.2017.8170056" target="_blank" >10.1109/WASPAA.2017.8170056</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fast Reconstruction of Sparse Relative Impulse Responses via Second-Order Cone Programming

Popis výsledku v původním jazyce

The paper addresses the estimation of the relative transfer function (RTF) using incomplete information. For example, an RTF estimate might be recognized as too inaccurate in a number of frequency bins. When these values are dropped, an incomplete RTF is obtained. The goal is then to reconstruct a complete RTF estimate, based on (1) the remaining values, and (2) the sparsity of the relative impulse response, which is the time-domain counter-part of the RTF. We propose two fast algorithms for the RTF reconstruction that solve a second-order cone program (SOCP), and show their advantages over the LASSO formulation previously proposed in the literature. Simulations with speech signals show that in terms of speed and accuracy, the proposed algorithms are comparable with the LASSO solution and considerably faster compared to the generic ECOS solver. The new algorithms are, moreover, easier to control through their parameters, which brings their improved stability when the number of reliable frequency bins is very low (less than 10%).

Název v anglickém jazyce

Fast Reconstruction of Sparse Relative Impulse Responses via Second-Order Cone Programming

Popis výsledku anglicky

The paper addresses the estimation of the relative transfer function (RTF) using incomplete information. For example, an RTF estimate might be recognized as too inaccurate in a number of frequency bins. When these values are dropped, an incomplete RTF is obtained. The goal is then to reconstruct a complete RTF estimate, based on (1) the remaining values, and (2) the sparsity of the relative impulse response, which is the time-domain counter-part of the RTF. We propose two fast algorithms for the RTF reconstruction that solve a second-order cone program (SOCP), and show their advantages over the LASSO formulation previously proposed in the literature. Simulations with speech signals show that in terms of speed and accuracy, the proposed algorithms are comparable with the LASSO solution and considerably faster compared to the generic ECOS solver. The new algorithms are, moreover, easier to control through their parameters, which brings their improved stability when the number of reliable frequency bins is very low (less than 10%).

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA17-00902S" target="_blank" >GA17-00902S: Pokročilé metody slepé separace podprostorů</a><br>

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

ISBN

978-1-5386-1632-1

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

364-368

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

New Paltz, NY, USA

Místo konání akce

New Paltz, NY, USA

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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