Signal Restoration Based on Temporal Structure and Multi-Layer Architecture

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Signal restoration involves the removal or minimization of degradation such as attenuation, interference, and noise. Blind signal restoration is the process of estimating either the original signals or mixture functions from the degraded signals, without any prior information about original sources. In this paper, we present a novel approach to tackle the ill-posedness of the nonlinear blind source separation problem. The derivation of our algorithm is inspired by the idea of an efficient layer-by-layer representation to approximate the nonlinearity. Once such representations are built, a final output layer is constructed by solving a convex optimization problem. Thus, the projected data can break a nonlinear problem down into the version of generalized joint diagonalization problem in the feature space. Importantly, the parameters and forms of polynomials depend solely on the input data, which guarantee the robustness of the structure. We thus address the general problem without being restricted to any specific mixture or parametric model. Experimental results show that the proposed algorithm is able to recover the nonlinear mixture with higher separation accuracy on audio datasets from the real world.

本文言語English
ホスト出版物のタイトル2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538647271
DOI
出版ステータスPublished - 2018
イベント2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates
継続期間: 2018 12 92018 12 13

出版物シリーズ

名前2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings

Conference

Conference2018 IEEE Global Communications Conference, GLOBECOM 2018
国/地域United Arab Emirates
CityAbu Dhabi
Period18/12/918/12/13

ASJC Scopus subject areas

  • 情報システムおよび情報管理
  • 再生可能エネルギー、持続可能性、環境
  • 安全性、リスク、信頼性、品質管理
  • 信号処理
  • モデリングとシミュレーション
  • 器械工学
  • コンピュータ ネットワークおよび通信

フィンガープリント

「Signal Restoration Based on Temporal Structure and Multi-Layer Architecture」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル