IEICE Communications Express
Online ISSN : 2187-0136
ISSN-L : 2187-0136

This article has now been updated. Please use the final version.

Crest Factor Reduction of Spectrogram Art Signals Based on Clipping and Filtering Processes
Naofumi AokiKenichi IkedaShio TanbaHiroshi Yasuda
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JOURNAL FREE ACCESS Advance online publication

Article ID: 2022TCL0021

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Abstract

Spectrogram art communications exchange visual messages drawn on sound signals. This study attempts to reduce the crest factor of spectrogram art signals to improve their visibility. This paper describes some experimental results examining our proposed technique that employs clipping and filtering processes.

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