Programmable composite noise generator (P-CNG) as class A noise simulator and its application to opinion test on TV picture degradation

Motoshi Tanaka, Kei Sasajima, Hiroshi Inoue, Tasuku Takagi

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)

    Abstract

    We have recently developed a programmable composite noise generator (P-CNG) which can easily control noise parameters such as average power, time-based amplitude probability distribution (APD), crossing rate distribution, occurrence frequency distribution and burst duration. Two applications of the P-CNG are demonstrated to show its usefulness. For the first application. Middleton's Class A noise is simulated. A method of setting parameters for Class A noise is demonstrated. The APD of P-CNG output is in good agreement with that of true Class A noise. In the second application, the P-CNG is used for subjective evaluation test (opinion test) of TV picture degradation. Five simple composite noise models with two kinds of APD are used. Other parameters such as average power are kept constant. Experimental results show that the envelope and APD of composite noises do not greatly influence the subjective evaluation. Finally the capabilities of the P-CNG are shown.

    Original languageEnglish
    Pages (from-to)1352-1359
    Number of pages8
    JournalIEICE Transactions on Communications
    VolumeE85-B
    Issue number7
    Publication statusPublished - 2002 Jul

    Keywords

    • Amplitude probability distribution (APD)
    • Composite noise generator (CNG)
    • Electromagnetic noise
    • Middleton's class A noise
    • Opinion test
    • TV picture degradation

    ASJC Scopus subject areas

    • Software
    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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