An effective technique of wavelet transform for optical signal real-time processing

This paper describes an effective technique of wavelet transform for optical signal processing on-line. The method of optical signal real-time analysis has been applied to giving information about transparent structures on morphology. Our approach consists of application of wavelet transform function within levels of multi-resolution representation to process the optical signal. Our study utilizes a one-dimensional wavelet to delete noise from the original optical signal and estimate the variation trend of maximum intensity of scattered light from wavelet decomposition coefficients. An exceptional optical signal also can be accurately detected by wavelet decomposition. Visualization is performed via a high performance analysis software which allows real-time data acquisition and processing of the optical signal. The famous orthogonality, compact support and approximate symmetry wavelet transform, Symlets wavelet family, is used to decompose the optical signal. Experimental result demonstrates the effectiveness of optical signal analysis by wavelet transform.