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2018•Unpublished venueRequires access

Blind Equalization and Identification

Zhi Jun Ding, Ye Li

Open publisher page 320 citations

Abstract

This text seeks to clarify various contradictory claims regarding capabilities and limitations of blind equalization. It highlights basic operating conditions and potential for malfunction. The authors also address concepts and principles of blind algorithms for single input multiple output (SIMO) systems and multi-user extensions of SIMO equalization and identification.

About this research paper

What this paper is about

This text seeks to clarify various contradictory claims regarding capabilities and limitations of blind equalization. It highlights basic operating conditions and potential for malfunction. The authors also address concepts and principles of blind algorithms for single input multiple output (SIMO) systems and multi-user extensions of SIMO equalization and identification.

Why it matters

OpenAlex reports 320 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Available abstract

This text seeks to clarify various contradictory claims regarding capabilities and limitations of blind equalization. It highlights basic operating conditions and potential for malfunction. The authors also address concepts and principles of blind algorithms for single input multiple output (SIMO) systems and multi-user extensions of SIMO equalization and identification.

Key concepts: Identification (biology), Equalization (audio), Blind equalization, Computer science, Telecommunications, Channel (broadcasting), Biology, Botany

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