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On Inversion of Continuous Wavelet Transform 被引量:2

On Inversion of Continuous Wavelet Transform
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摘要 This study deduces a general inversion of continuous wavelet transform (CWT) with timescale being real rather than positive. In conventional CWT inversion, wavelet’s dual is assumed to be a reconstruction wavelet or a localized function. This study finds that wavelet’s dual can be a harmonic which is not local. This finding leads to new CWT inversion formulas. It also justifies the concept of normal wavelet transform which is useful in time-frequency analysis and time-frequency filtering. This study also proves a law for CWT inversion: either wavelet or its dual must integrate to zero. This study deduces a general inversion of continuous wavelet transform (CWT) with timescale being real rather than positive. In conventional CWT inversion, wavelet’s dual is assumed to be a reconstruction wavelet or a localized function. This study finds that wavelet’s dual can be a harmonic which is not local. This finding leads to new CWT inversion formulas. It also justifies the concept of normal wavelet transform which is useful in time-frequency analysis and time-frequency filtering. This study also proves a law for CWT inversion: either wavelet or its dual must integrate to zero.
出处 《Open Journal of Statistics》 2015年第7期714-720,共7页 统计学期刊(英文)
关键词 Continuous WAVELET TRANSFORM Wavelet’s Dual INVERSION Normal WAVELET TRANSFORM TIME-FREQUENCY FILTERING Continuous Wavelet Transform Wavelet’s Dual Inversion Normal Wavelet Transform Time-Frequency Filtering
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