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Wavelet transform is a particularly useful tool to characterize tran-sient phenomena such as wave breaking.In this paper,we apply wavelet transformto the detection and quantification of the breaking waves.We use a new methodthat uses the local properties of wavelet transform to detect and quantify the break-ing waves and give some new breaking criteria.By comparing this method with theclassic method,we find that wavelet transform is very effective in the detection ofbreaking waves.With wavelet transform,a set of measured wind wave data is inves-tigated.The results have revealed some previously unknown phenomena about wavebreaking.
Wavelet transform is a particularly useful tool to characterize tran-sient phenomena such as wave breaking.In this paper, we apply wavelet transformto the detection and quantification of the breaking waves.We use a new methodthat uses the local properties of wavelet transform to detect and quantify the break-ing waves and give some new breaking criteria.By comparing this method with the classical method, we find that wavelet transform is very effective in the detection ofbreaking wavess.With wavelet transform, a set of measured wind wave data is inves- tigated The results have revealed some previously unknown phenomena about wavebreaking.