Bused on theory of wavelet transform, images are analyzed. On this basis, image enhancement is analyzed to apply with wavelet transform. Results are analyzed and compared with low-pass filtering and ...

The wavelet has two key parameters, dominant frequency and phase, mostly obtained from the depth–wavenumber spectrum for the depth-domain seismic data. To this end, we developed a workflow for ...

This paper proposes a multi-level three-dimensional quantum wavelet transform theory to implement the wavelet transform for quantum videos.  ...

Improving the estimation accuracy of rapeseed leaf photosynthetic characteristics under salinity stress using continuous wavelet transform and successive projections ...

This book provides an overview of the theory and practical applications of wavelet transform methods. The author uses several hundred illustrations, some in color, to convey mathematical concepts and ...

The demonstrated improvement in the LOD achieved using wavelet convolution and average phase difference paves the way for PSi optical biosensors to operate with clinically relevant detection limits ...